Fathom-Simple-MCP
This server provides read-only access to Fathom AI meeting data through a Model Context Protocol (MCP) interface with five specialized tools:
• List Meetings: Retrieve paginated meetings with extensive filtering options (by teams, invitees, domains, recorders, date ranges) and optionally include transcripts, summaries, action items, and CRM matches • Get Meeting Summary: Fetch markdown summaries for specific recordings with support for synchronous returns or asynchronous callbacks • Get Meeting Transcript: Retrieve timestamped speaker transcripts for recordings with flexible synchronous and asynchronous delivery • List Teams: Access paginated lists of teams associated with the account • List Team Members: Retrieve team members with optional filtering by team name and pagination support
The server is optimized for minimal API consumption with filtered JSON output for improved readability and LLM processing.
Provides access to Fathom AI API endpoints for managing meeting data, including retrieving meetings with filtering options, accessing transcripts and summaries for recordings, and managing teams and team members.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Fathom-Simple-MCPsearch for meetings about budget planning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Fathom MCP Server
A Model Context Protocol (MCP) server for accessing Fathom.video meeting recordings, transcripts, summaries, teams, and team members.
This implementation provides streamlined access to Fathom meeting data while minimizing API consumption. It is optimized for efficiency and simplicity, using the Hybrid output format (TOON text + JSON structured data) by default for less token usage and better LLM processing.
Features
Search Meetings: Search meetings by keyword across titles, attendees, teams, topics, and summaries. Optionally search within transcripts.
List Meetings: Retrieve meetings with optional filtering and inclusion of summaries
Get Meeting Details: Retrieve comprehensive meeting data including AI-generated summaries and transcripts
List Teams: Retrieve all teams
List Team Members: Retrieve team members with optional team filtering
Related MCP server: Fathom AI MCP Server
Requirements
Python 3.10+
Fathom API key
Installation
Clone or download this repository
Install dependencies:
pip install -r requirements.txtor
uv venv && uv syncConfiguration
The server uses environment variables for configuration:
FATHOM_API_KEY: Your Fathom API key (required)FATHOM_TIMEOUT: Request timeout in seconds (default: 30)OUTPUT_FORMAT: Output format for tool responses ("hybrid","toon", or"json", default:"hybrid")DEFAULT_PER_PAGE: Number of results per page (default: 50)
Usage
Direct Python Execution (Recommended)
{
"fathom": {
"command": "python",
"args": [
"server.py"
],
"env": {
"FATHOM_API_KEY": "<api-key>"
}
}
}Using UV
{
"fathom": {
"command": "uv",
"args": [
"--directory",
"/mcp_path/fathom-mcp",
"run",
"fathom-mcp"
],
"env": {
"FATHOM_API_KEY": "<api-key>"
}
}
}Available Tools
list_meetings
Retrieve meetings with optional filtering and pagination.
Properties:
calendar_invitees(list[str], optional): Filter by invitee emailscalendar_invitees_domains(list[str], optional): Filter by domainscreated_after(str, optional): ISO timestamp filtercreated_before(str, optional): ISO timestamp filtercursor(str, optional): Pagination cursorinclude_action_items(bool, optional): Include action itemsinclude_crm_matches(bool, optional): Include CRM matchesper_page(int, optional): Number of results per page (default: 50, configurable via DEFAULT_PER_PAGE env var)recorded_by(list[str], optional): Filter by recorder emailsteams(list[str], optional): Filter by team names
search_meetings
Search meetings by keyword across titles, participants, teams, topics, summaries, and optionally transcripts.
Properties:
query(str, required): Search query to match against meeting metadata and optionally transcript contentinclude_transcript(bool, optional): If True, search within transcripts and include them in results (default: False). Warning: This is slower and more resource-intensive.
Returns: A search results object containing:
items: List of matching meetings with full meeting details (and transcripts if requested)query: The search query usedtotal_matches: Number of meetings that matched the searchsearched_transcripts: Boolean indicating whether transcripts were searched
Examples:
search_meetings("McDonalds")- Search metadata only (fast)search_meetings("budget discussion", include_transcript=True)- Search including full transcripts (slower)search_meetings("engineering")- Find meetings related to engineering topics
get_meeting_details
Retrieve comprehensive meeting details including summary and metadata (without transcript).
Properties:
recording_id(int): The recording identifier
Returns: A unified meeting object containing:
recording_id: Unique identifier for the recordingtitle: Meeting titlemeeting_url: URL to the meeting recordingshare_url: Shareable URL for the meetingcreated_at: When the meeting was createdscheduled_start_time: Original scheduled start timescheduled_end_time: Original scheduled end timerecording_start_time: When recording actually startedrecording_end_time: When recording actually endedtranscript_language: Language of the transcriptparticipants: List of meeting participants with names, emails, and external/internal statusrecorded_by: Information about who recorded the meeting (name, email, team)teams: Teams associated with the meetingtopics: AI-detected topics discussedsentiment: Overall sentiment analysiscrm_matches: CRM contact matchessummary: AI-generated meeting summary (converted to plain text from markdown)
get_meeting_transcript
Retrieve meeting transcript with essential metadata (id, title, participants, dates).
Properties:
recording_id(int): The recording identifier
Returns: A transcript object containing:
recording_id: Unique identifier for the recordingtitle: Meeting titleparticipants: List of meeting participantscreated_at: When the meeting was createdscheduled_start_time: Original scheduled start timescheduled_end_time: Original scheduled end timetranscript: Full meeting transcript with timestamps
list_teams
Retrieve teams with optional pagination.
Properties:
cursor(str, optional): Pagination cursorper_page(int, optional): Number of results per page (default: 50, configurable via DEFAULT_PER_PAGE env var)
list_team_members
Retrieve team members with optional filtering and pagination.
Properties:
cursor(str, optional): Pagination cursorper_page(int, optional): Number of results per page (default: 50, configurable via DEFAULT_PER_PAGE env var)team(str, optional): Filter by team name
MCP Configuration Examples
Claude Code
{
"mcpServers": {
"fathom": {
"command": "python",
"args": ["path/to/fathom-mcp/server.py"],
"env": {
"FATHOM_API_KEY": "your-api-key-here"
}
}
}
}GitHub Copilot (VS Code)
{
"servers": {
"fathom": {
"command": "python",
"args": ["path/to/fathom-mcp/server.py"],
"env": {
"FATHOM_API_KEY": "your-api-key-here"
}
}
}
}Roo Code
{
"mcp": {
"servers": {
"fathom": {
"command": "uv",
"args": [
"--directory",
"/mcp_path/fathom-mcp",
"run",
"fathom-mcp"
],
"env": {
"FATHOM_API_KEY": "your-api-key-here"
}
}
}
}
}Output Format
The server supports three output formats configured via the OUTPUT_FORMAT environment variable:
Mode |
|
| Description |
| TOON | JSON dict | Both TOON for token-efficient LLM reading and structured data for programmatic access |
| TOON | { "toon": toonText } | Pure TOON (Token-Optimized Object Notation) with no dual-format overhead |
| JSON string | JSON dict | Standard FastMCP JSON output |
All output is filtered to remove empty, null, or redundant information for improved efficiency.
Error Handling
The server provides comprehensive error handling:
401 Unauthorized: Invalid API key
404 Not Found: Resource not found
429 Rate Limited: Too many requests
500 Server Error: Fathom API issues
All errors are logged via MCP context with appropriate severity levels.
Security
API keys are loaded from environment variables
No sensitive data is logged
HTTPS is used for all API requests
Error messages don't expose internal details
License
MIT License.
Available Tools
6 toolsget_meeting_detailsARead-only
Retrieve comprehensive meeting details including summary and metadata (without transcript).
Example: get_meeting_details([recording_id])
| Name | Required | Description | Default |
|---|---|---|---|
| recording_id | Yes | The recording identifier |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. Description adds useful context: returns summary, metadata, and explicitly states (without transcript). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences plus example. Front-loaded with purpose. No redundant information. Highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With output schema existing, description adequately covers what the tool returns (summary, metadata, no transcript) and example. No gaps for a simple single-parameter read tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%. Description adds an example call showing the parameter but does not provide additional meaning beyond what the schema describes.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it retrieves comprehensive meeting details including summary and metadata, explicitly excluding transcript. Differentiates from get_meeting_transcript which would provide transcript. Includes example call.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implicitly guides when to use: when summary/metadata needed, not transcript. Lacks explicit 'when not to use' or direct sibling comparison, but the exclusion of transcript is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_meeting_transcriptBRead-only
Retrieve meeting transcript with essential metadata (id, title, participants, dates).
Example: get_meeting_transcript([recording_id])
| Name | Required | Description | Default |
|---|---|---|---|
| recording_id | Yes | The recording identifier |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so no contradiction. The description doesn't add behavioral details beyond retrieving data, but it doesn't mislead. Minimal added value over annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two-line description is concise and includes an example. No unnecessary words, though it could be slightly more informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description provides the core purpose and an example. Given the presence of an output schema and only one parameter, it is moderately complete but could elaborate on what the transcript includes (e.g., if it returns the full text or just metadata).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the description merely adds an example call without clarifying parameter semantics beyond the schema's description. Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it retrieves a meeting transcript with essential metadata, using a specific verb and resource. While it doesn't explicitly differentiate from get_meeting_details, the focus on 'transcript' sets it apart from other meeting tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus siblings like get_meeting_details or list_meetings. The example shows syntax but lacks context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_meetingsARead-only
Retrieve paginated meetings with filtering and optional content inclusion (action items, CRM matches).
Examples: list_meetings() # Get all meetings (paginated) list_meetings(created_after="2024-01-01T00:00:00Z") # Meetings after specific date list_meetings(teams=["Sales", "Engineering"]) # Filter by specific teams list_meetings(calendar_invitees=["john.doe@company.com", "jane.smith@client.com"]) # Filter by specific attendees list_meetings(calendar_invitees_domains=["company.com", "client.com"]) # Filter by attendee domains
| Name | Required | Description | Default |
|---|---|---|---|
| teams | No | ||
| cursor | No | ||
| per_page | No | Number of results per page (default: 50) | |
| recorded_by | No | ||
| created_after | No | ||
| created_before | No | ||
| calendar_invitees | No | ||
| include_crm_matches | No | ||
| include_action_items | No | ||
| calendar_invitees_domains | No |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, and description aligns with read-only retrieval. Adds value by detailing optional content inclusion (action items, CRM matches) and pagination. No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single clear sentence followed by well-structured examples. Every element earns its place, no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given presence of output schema, description adequately covers pagination, filtering, and optional content. Could mention sorting or ordering but not critical.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with all parameters described. Description adds examples that illustrate usage but no new semantic information beyond schema. Baseline 3 appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves paginated meetings with filtering and optional content inclusion. It distinguishes from siblings like search_meetings and get_meeting_details by focusing on pagination and list operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Examples provide clear usage patterns, but no explicit guidance on when to prefer this over search_meetings or other siblings. Context is clear but lacks exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_team_membersARead-only
Retrieve paginated team members with optional team filtering.
Examples: list_team_members_tool() # Get all team members across all teams list_team_members_tool(team="Engineering") # Filter members by team name list_team_members_tool(cursor="def456") # Paginate through member list
| Name | Required | Description | Default |
|---|---|---|---|
| team | No | ||
| cursor | No | ||
| per_page | No |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description aligns with readOnlyHint annotation, stating 'Retrieve'. Adds context about pagination and filtering but does not disclose other behaviors like rate limits, order, or error handling. Adequate given simple read operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise with a single sentence and relevant examples, front-loading purpose. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a list tool with output schema, the description covers pagination and filtering. Could mention default per_page value, but overall sufficient. Output schema fills gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Despite 0% schema description coverage per context signals, the description provides examples that demonstrate parameter usage. The examples help clarify team and cursor parameters, though per_page default is not mentioned. Partial compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The name and description clearly indicate the tool retrieves paginated team members with optional team filtering, distinguishing it from sibling tools like list_teams which list teams, not members.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Examples show when to use the tool: default all members, filter by team, paginate. Usage is implied, but no explicit guidance on when not to use or alternatives. Clear enough for most cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_teamsARead-only
Retrieve paginated list of teams with organizational structure.
Examples: list_teams_tool() # Get first page of teams list_teams_tool(cursor="abc123") # Get next page using cursor
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | ||
| per_page | No |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, so the description adds value by disclosing pagination behavior with cursor usage and provides examples, which is sufficient for a read-only list tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief (two sentences plus examples), front-loaded with the core purpose, and every element is useful without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with an output schema, the description adequately covers pagination and structure, though it could mention fields returned. The output schema compensates, so overall it's sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not elaborate on parameters beyond schema descriptions, which already cover cursor and per_page. The examples illustrate cursor usage but add minimal new semantic meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Retrieve' and resource 'teams', and the phrase 'paginated list with organizational structure' clearly distinguishes it from sibling tools like list_meetings or list_team_members.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives; no mention of prerequisites or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_meetingsARead-only
Search meetings by keyword across metadata fields and optionally transcripts.
This tool searches meeting metadata (titles, attendees, teams, topics, summaries) and optionally full transcript content. Uses fuzzy matching to handle partial matches, plurals, and case-insensitive search.
By default, transcripts are NOT searched or included to optimize performance. Set include_transcript=True to search within and return transcript data.
Fetches all meetings (with pagination) and returns those matching the search query.
Examples: search_meetings("McDonalds") # Search metadata only search_meetings("budget discussion", include_transcript=True) # Search including transcripts search_meetings("engineering") # Find meetings related to engineering
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query to match against meeting metadata (titles, participants, teams, topics, summaries, and optionally transcripts) | |
| include_transcript | No | If True, search within transcripts and include them in results. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses fuzzy matching, case-insensitivity, pagination, default transcript exclusion, and read-only nature, adding significant value beyond the readOnlyHint annotation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Every sentence serves a purpose; the description is well-structured with clear explanations and practical examples, front-loading key info.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (2 params, output schema exists), the description covers search behavior, fuzzy matching, performance trade-off, pagination, and provides examples, making it fully self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already covers both parameters with descriptions. The description adds examples and clarifies the query scope (titles, participants, etc.) and default behavior of include_transcript, enhancing understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as searching meetings by keyword across metadata and optionally transcripts, distinguishing it from sibling tools like list_meetings and get_meeting_details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear context on when to use metadata-only vs transcript-inclusive searches, notes performance trade-offs, and gives examples. Lacks explicit when-not-to-use guidance but is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
6 tool updates
v0.2.0- Changed
get_meeting_details1 field changed- added
Input schema / additionalPropertiesAdded value: +false
- Changed
get_meeting_transcript1 field changed- added
Input schema / additionalPropertiesAdded value: +false
- Changed
list_meetings32 fields changed- added
Input schema / additionalPropertiesAdded value: +false - added
Input schema / properties / calendar_invitees / anyOfAdded value: +[ + { + "description": "Filter by invitee emails", + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } +] - removed
Input schema / properties / calendar_invitees / descriptionRemoved value: -"Filter by invitee emails" - removed
Input schema / properties / calendar_invitees / itemsRemoved value: -{ - "type": "string" -} - removed
Input schema / properties / calendar_invitees / typeRemoved value: -"array" - added
Input schema / properties / calendar_invitees_domains / anyOfAdded value: +[ + { + "description": "Filter by domains", + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } +] - removed
Input schema / properties / calendar_invitees_domains / descriptionRemoved value: -"Filter by domains" - removed
Input schema / properties / calendar_invitees_domains / itemsRemoved value: -{ - "type": "string" -} - removed
Input schema / properties / calendar_invitees_domains / typeRemoved value: -"array" - added
Input schema / properties / created_after / anyOfAdded value: +[ + { + "description": "ISO timestamp filter", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / created_after / descriptionRemoved value: -"ISO timestamp filter" - removed
Input schema / properties / created_after / typeRemoved value: -"string" - added
Input schema / properties / created_before / anyOfAdded value: +[ + { + "description": "ISO timestamp filter", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / created_before / descriptionRemoved value: -"ISO timestamp filter" - removed
Input schema / properties / created_before / typeRemoved value: -"string" - added
Input schema / properties / cursor / anyOfAdded value: +[ + { + "description": "Pagination cursor", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / cursor / descriptionRemoved value: -"Pagination cursor" - removed
Input schema / properties / cursor / typeRemoved value: -"string" - added
Input schema / properties / include_action_items / anyOfAdded value: +[ + { + "description": "Include action items", + "type": "boolean" + }, + { + "type": "null" + } +] - removed
Input schema / properties / include_action_items / descriptionRemoved value: -"Include action items" - removed
Input schema / properties / include_action_items / typeRemoved value: -"boolean" - added
Input schema / properties / include_crm_matches / anyOfAdded value: +[ + { + "description": "Include CRM matches", + "type": "boolean" + }, + { + "type": "null" + } +] - removed
Input schema / properties / include_crm_matches / descriptionRemoved value: -"Include CRM matches" - removed
Input schema / properties / include_crm_matches / typeRemoved value: -"boolean" - added
Input schema / properties / recorded_by / anyOfAdded value: +[ + { + "description": "Filter by recorder emails", + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } +] - removed
Input schema / properties / recorded_by / descriptionRemoved value: -"Filter by recorder emails" - removed
Input schema / properties / recorded_by / itemsRemoved value: -{ - "type": "string" -} - removed
Input schema / properties / recorded_by / typeRemoved value: -"array" - added
Input schema / properties / teams / anyOfAdded value: +[ + { + "description": "Filter by team names", + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } +] - removed
Input schema / properties / teams / descriptionRemoved value: -"Filter by team names" - removed
Input schema / properties / teams / itemsRemoved value: -{ - "type": "string" -} - removed
Input schema / properties / teams / typeRemoved value: -"array"
- Changed
list_team_members10 fields changed- added
Input schema / additionalPropertiesAdded value: +false - added
Input schema / properties / cursor / anyOfAdded value: +[ + { + "description": "Pagination cursor", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / cursor / descriptionRemoved value: -"Pagination cursor" - removed
Input schema / properties / cursor / typeRemoved value: -"string" - added
Input schema / properties / per_page / anyOfAdded value: +[ + { + "description": "Number of results per page (default: 50)", + "type": "integer" + }, + { + "type": "null" + } +] - removed
Input schema / properties / per_page / descriptionRemoved value: -"Number of results per page (default: 50)" - removed
Input schema / properties / per_page / typeRemoved value: -"integer" - added
Input schema / properties / team / anyOfAdded value: +[ + { + "description": "Filter by team name", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / team / descriptionRemoved value: -"Filter by team name" - removed
Input schema / properties / team / typeRemoved value: -"string"
- Changed
list_teams7 fields changed- added
Input schema / additionalPropertiesAdded value: +false - added
Input schema / properties / cursor / anyOfAdded value: +[ + { + "description": "Pagination cursor", + "type": "string" + }, + { + "type": "null" + } +] - removed
Input schema / properties / cursor / descriptionRemoved value: -"Pagination cursor" - removed
Input schema / properties / cursor / typeRemoved value: -"string" - added
Input schema / properties / per_page / anyOfAdded value: +[ + { + "description": "Number of results per page (default: 50)", + "type": "integer" + }, + { + "type": "null" + } +] - removed
Input schema / properties / per_page / descriptionRemoved value: -"Number of results per page (default: 50)" - removed
Input schema / properties / per_page / typeRemoved value: -"integer"
- Changed
search_meetings1 field changed- added
Input schema / additionalPropertiesAdded value: +false
11 tool updates
v1.0.0- Added
get_meeting_details - Added
get_meeting_transcript - Removed
get_summary_tool - Removed
get_transcript_tool - Added
list_meetings - Removed
list_meetings_tool - Added
list_team_members - Removed
list_team_members_tool - Added
list_teams - Removed
list_teams_tool - Added
search_meetings
5 tool updates
- First observed
get_summary_tool - First observed
get_transcript_tool - First observed
list_meetings_tool - First observed
list_team_members_tool - First observed
list_teams_tool
TDQS
Each tool has a clearly distinct purpose: search, list, get details, get transcript for meetings, and list teams and team members. There is no ambiguity or overlap.
All tools follow a consistent verb_noun pattern in snake_case (e.g., search_meetings, list_teams). The minor pluralization difference between 'list_teams' and 'list_team_members' is natural and acceptable.
The server has 6 tools, which is well-scoped for a simple meeting and team management server. Each tool serves a necessary function without being redundant or excessive.
The tool set covers all read operations for meetings (search, list, details, transcript) and teams (list teams, members). However, it lacks any write operations (create, update, delete), which may be intended but is a minor gap for a full lifecycle.
Maintenance
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