delta-mcp-prototype
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., "@delta-mcp-prototypesearch for mentions of Tesla from last week"
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.
delta-mcp-prototype
An MCP (Model Context Protocol) server that wraps the UMT media monitoring API, exposing media mention search as a tool for MCP-compatible clients (e.g. Claude Desktop, Claude Code).
Requirements
Node.js 22 (see
.nvmrc)A UMT account (username/password)
Related MCP server: news-monitor-mcp
Installation
npm installUsage
Run the server with your UMT credentials passed as environment variables:
UMT_USERNAME=<username> UMT_PASSWORD=<password> node index.js [--env delta|beta]UMT_USERNAME/UMT_PASSWORD— UMT account credentials (required). Environment variables are recommended over CLI flags since flags are visible to other processes/users via the process list;--username/--passwordare still accepted as a fallback for quick local testing.--env— API environment,delta(default) orbeta
The server communicates over stdio, so it's meant to be launched by an MCP client rather than run standalone.
Connecting to an MCP client
Example configuration (e.g. Claude Desktop claude_desktop_config.json):
{
"mcpServers": {
"delta-mcp-prototype": {
"command": "npx",
"args": ["delta-mcp-prototype", "--env", "beta"],
"env": {
"UMT_USERNAME": "<username>",
"UMT_PASSWORD": "<password>"
}
}
}
}Tools
fetch_mentions— Fetch media mentions with filters for search id, phrase, date range, language, country, media segment, sentiment, and tags. Returns a paginated list of mentions (title, url, media segment, published date, sentiment, virality, link counts).current_date_and_time— Returns the current date, time, and timezone; useful for resolving relative date ranges.
Build
Bundle the server into a single file with esbuild:
npm run buildOutput is written to dist/index.js.
Project structure
index.js CLI entry point — parses args, starts the server
src/index.js MCP server setup and tool registration
src/tools.js Tool definitions (fetch_mentions, current_date_and_time)
src/umt-dao.js UMT API client (auth + mentions endpoint)
src/env.js Environment/base URL constants
src/utils.js Small helpers (object path access, TOON encoding, try/catch)Available Tools
2 toolscurrent_date_and_timecurrent_date_and_timeA
Returns the current date and time. Call this whenever you need to know today's date or the current time, for example when the user asks 'what day is it?' or when computing relative date ranges like 'last 7 days'.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description correctly states the tool returns current date and time, but lacks details such as timezone handling, precision, or whether it's server-local time. Since no annotations are provided, the description carries the full burden, and this omission makes it partially opaque.
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 extremely concise at two sentences, front-loading the core purpose. Every word adds value; no redundancy or unnecessary information.
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 simplicity (no parameters, no output schema), the description adequately covers purpose and usage context. It could optionally mention output format or timezone, but is already sufficient for correct invocation.
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?
There are no parameters, and the schema coverage is 100% (trivially). The description adds value by providing context on when the tool is useful, which goes beyond the schema. For zero parameters, a baseline of 4 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 the tool returns the current date and time, with specific examples like 'what day is it?' and computing relative date ranges. It distinguishes itself from the sibling tool 'fetch_mentions' which handles a completely different domain.
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?
The description explicitly tells when to call the tool ('whenever you need to know today's date or the current time') and provides concrete usage examples. While there is no direct mention of when not to use it, the sibling tool's purpose is sufficiently different that confusion is unlikely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fetch_mentionsfetch_mentionsA
Fetch media mentions matching the specified filters. Supports filtering by search, phrase, date range, language, country, media segment, sentiment, tags, source, read/marked/critical/mailed status, inlink count, and more. Results are paginated and sortable. Returns total count and a list of mentions with title, url, media segment, published date, sentiment, virality, and link counts.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of results to return (max 100). Default 25. | |
| offset | No | Number of initial results to skip. Max offset+limit is 10000. Default 0. | |
| phrase | No | Include only mentions matching this search query. | |
| country | No | Filter by country code(s), comma-separated. Use 'missing' to include mentions with no country assigned. | |
| date_to | No | Exclude mentions published after this ISO 8601 timestamp. Defaults to 3000-01-01T01:01:01.000Z. | |
| tags_id | No | Include mentions tagged with at least one of the specified tag ids, comma-separated. | |
| language | No | Filter by language code(s), comma-separated (e.g. 'en' or 'en,de'). | |
| date_from | No | Exclude mentions published before this ISO 8601 timestamp (e.g. '2024-01-01' or '2024-01-01T08:00Z'). | |
| sentiment | No | Filter by sentiment: -1 (negative), 0 (neutral), 1 (positive), -99 (no sentiment). | |
| searches_id | No | Comma-separated list of search ids. Use '0' for all searches, a folder id for all searches in a folder, or specific search ids. | 0 |
| media_segment_id | No | Filter by media segment id(s), comma-separated. Available values: * 2 (Blogs) * 3 (News) * 4 (Social Networks) * 5 (Microblogs) * 6 (Web) * 7 (Forums) * 10 (Press Releases) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses pagination, sorting, and the return value structure (total count, list with fields). However, it omits any mention of rate limits, authentication requirements, or side effects. Overall, good but not exhaustive.
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 two sentences long with no fluff. The first sentence states the purpose, and the second encapsulates the key features. It is well-structured and front-loaded.
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 has 11 parameters and no output schema, the description covers the main use case and return values. It could be more explicit about how filters combine (e.g., AND logic) but is largely complete for a listing 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 description coverage is 100%, so every parameter is documented in the schema. The description adds no parameter-specific meaning beyond listing some filter examples, which is already covered. Baseline 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 the tool fetches media mentions and lists many filter options, making the purpose specific and distinct from the only sibling tool (current_date_and_time) which is unrelated.
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?
The description explains what the tool does and its capabilities but does not provide explicit guidance on when to use it versus alternatives or when not to use it. Given the absence of relevant siblings, it is adequate but lacks exclusions.
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.
2 tool updates
v1.0.2- First observed
current_date_and_time - First observed
fetch_mentions
TDQS
The two tools serve completely different purposes: one provides current date/time, the other fetches media mentions with many filters. There is no overlap or ambiguity.
Both tool names follow a consistent verb_noun pattern using snake_case ('current_date_and_time', 'fetch_mentions'), making them predictable and easy to understand.
With only two tools, the server feels thin for a media monitoring prototype. The inclusion of a generic date/time utility alongside a specialized mentions fetcher suggests a lack of focused scope, but it is not extreme.
The fetch_mentions tool is comprehensive with many filters, but there are no tools for creating, updating, or managing mentions. The date/time tool is unrelated to the core domain, leaving significant gaps for a full media monitoring workflow.
Maintenance
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