sumo-mcp
The sumo-mcp server exposes a single search_logs tool to query Sumo Logic logs for investigating production systems.
Query logs using Sumo Logic search expressions (e.g.,
_sourceCategory=prod/api error)Specify time ranges via ISO 8601 timestamps, epoch milliseconds, or relative shorthands like
-15m,-1h,-7d, ornow(default:-15mtonow)Control result size with
max_results(default 100, max 1000)Set timezone context using IANA timezone names (e.g.,
UTC,Europe/London), defaulting toUTCRetrieve structured log data including
_messageTime,_sourceCategory,_sourceHost,_sourceName, and_rawlog contentDesigned for real-time log investigation: finding errors, tracing events, and auditing activity; hard timeout of 60 seconds per search
Allows searching logs in Sumo Logic using the search_logs tool, supporting query, time range, max results, and timezone parameters, returning JSON messages with fields such as _messageTime, _sourceCategory, _sourceHost, _sourceName, and _raw.
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., "@sumo-mcpsearch for recent errors in my app logs"
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.
sumo-mcp
Minimal MCP server that exposes a single search_logs tool for Sumo Logic.
Build
npm install
npm run buildRelated MCP server: Graylog MCP Server
Configure in Claude Code
API Key
In Sumo:
Click on your username and select
Personal Access KeysClick
Add New Access KeyEnter a name, e.g.
Claude LocalSelect
Customunder scopeCheck
Run Log Searchunder theLog SearchsectionSave the key
Install
The commands below prompt for the access ID and key interactively so the secrets never appear on the command line or in shell history.
SUMO_ENDPOINT must match https://api.*.sumologic.com. Pick the host for your Sumo deployment region (US2, EU, AU, etc.).
PowerShell
$accessId = Read-Host "Sumo Access ID"
$accessKey = [System.Net.NetworkCredential]::new('', (Read-Host "Sumo Access Key" -AsSecureString)).Password
claude mcp add --scope user sumo `
--env SUMO_ACCESS_ID=$accessId `
--env SUMO_ACCESS_KEY=$accessKey `
--env SUMO_ENDPOINT=https://api.us2.sumologic.com `
-- node C:\Source\SumoMcp\dist\index.js
Remove-Variable accessId, accessKeyBash
read -r -p "Sumo Access ID: " SUMO_ACCESS_ID
read -r -s -p "Sumo Access Key: " SUMO_ACCESS_KEY
echo
SUMO_ACCESS_ID="$SUMO_ACCESS_ID" SUMO_ACCESS_KEY="$SUMO_ACCESS_KEY" \
claude mcp add --scope user sumo \
--env SUMO_ACCESS_ID="$SUMO_ACCESS_ID" \
--env SUMO_ACCESS_KEY="$SUMO_ACCESS_KEY" \
--env SUMO_ENDPOINT=https://api.us2.sumologic.com \
-- node /path/to/sumo-mcp/dist/index.js
unset SUMO_ACCESS_ID SUMO_ACCESS_KEYTool
search_logs(query, from?, to?, max_results?, timezone?)
query— Sumo search expressionfrom/to— ISO 8601 without timezone designator (2026-05-07T10:00:00), epoch milliseconds, or relative shorthandnow/-<N><unit>where unit iss|m|h|d|w(e.g.-15m,-1h,-7d). Relative values are translated to epoch milliseconds before being sent to Sumo. Default-15m/nowmax_results— default 100, capped at 1000timezone— IANA name, defaultUTC(used whenfrom/toare ISO 8601 without an explicit offset)
Returns a JSON array of messages with _messageTime, _sourceCategory, _sourceHost, _sourceName, _raw.
Hard timeout 60s — narrow the time range or query if you hit it.
Design
See docs/superpowers/specs/2026-05-07-sumo-mcp-design.md.
Available Tools
1 toolsearch_logsA
Run a Sumo Logic search and return matching log lines. Use this to investigate production issues, find errors, trace events, or look up activity in logs. Returns trimmed messages with timestamp, source category, host, source name, and raw log line.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Sumo Logic search expression (e.g. `_sourceCategory=prod/api error`). | |
| from | No | Start time. ISO 8601 (e.g. "2026-05-07T10:00:00") or Sumo relative ("-15m", "-1h", "-1d", "now"). Default "-15m". | |
| to | No | End time. Same format as `from`. Default "now". | |
| max_results | No | Max messages to return. Default 100, capped at 1000. | |
| timezone | No | IANA timezone name for the search (e.g. "UTC", "Europe/London"). Default "UTC". |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the return format: 'Returns trimmed messages with timestamp, source category, host, source name, and raw log line.' Since no annotations exist, the description sufficiently informs about the tool's read-only nature and output structure.
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, consisting of only two sentences. The first sentence states the core function, and the second provides use cases and return fields. No redundant 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 has 5 parameters and no output schema, the description covers the purpose, usage timing, and return structure. It is sufficiently complete for an agent to understand when and how to use it.
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 each parameter described. The tool description does not add extra semantic detail beyond the schema; however, the schema descriptions are adequate. 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 'Run a Sumo Logic search and return matching log lines', specifying the exact action and resource. It also lists specific use cases like investigating production issues, finding errors, and tracing events.
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 states when to use the tool: 'Use this to investigate production issues, find errors, trace events, or look up activity in logs.' This provides clear context for usage.
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.
1 tool update
v0.1.0- First observed
search_logs
TDQS
With only one tool, there is no potential for ambiguity. The single tool is clearly defined and cannot be confused with any other.
The single tool name 'search_logs' follows a clear verb_noun pattern, which is consistent and predictable.
A single tool for a logging platform seems insufficient. Typical users would expect additional tools for managing searches, retrieving past results, or listing sources, making the count feel too limited for the domain.
The server only offers a search functionality without supporting operations like listing saved searches, polling search status, or retrieving historical results. This leaves significant gaps for a complete log investigation workflow.
Maintenance
Resources
Unclaimed servers have limited discoverability.
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