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sumo-mcp

by droyad
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JavaScript
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sumo-mcp

Sumo Logic을 위한 단일 search_logs 도구를 제공하는 최소한의 MCP 서버입니다.

빌드

npm install
npm run build

Related MCP server: Graylog MCP Server

Claude Code에서 구성

API 키

Sumo에서:

  • 사용자 이름을 클릭하고 Personal Access Keys를 선택합니다.

  • Add New Access Key를 클릭합니다.

  • 이름(예: Claude Local)을 입력합니다.

  • 범위(scope)에서 Custom을 선택합니다.

  • Log Search 섹션에서 Run Log Search를 체크합니다.

  • 키를 저장합니다.

설치

claude mcp add --scope user sumo `
  --env SUMO_ACCESS_ID=<your-access-id> `
  --env SUMO_ACCESS_KEY=<your-access-key> `
  --env SUMO_ENDPOINT=https://api.us2.sumologic.com `
  -- node C:\Source\SumoMcp\dist\index.js

SUMO_ENDPOINT는 https://api.*.sumologic.com과 일치해야 합니다. Sumo 배포 지역(US2, EU, AU 등)에 맞는 호스트를 선택하세요.

도구

search_logs(query, from?, to?, max_results?, timezone?)

  • query — Sumo 검색 표현식

  • from / to — ISO 8601 또는 Sumo 상대 시간(-15m, -1h, now). 기본값 -15m / now

  • max_results — 기본값 100, 최대 1000으로 제한

  • timezone — IANA 이름, 기본값 UTC

_messageTime, _sourceCategory, _sourceHost, _sourceName, _raw가 포함된 메시지의 JSON 배열을 반환합니다.

하드 타임아웃은 60초입니다. 타임아웃이 발생하면 시간 범위나 쿼리를 좁히십시오.

설계

docs/superpowers/specs/2026-05-07-sumo-mcp-design.md를 참조하세요.

Available Tools

1 tool
search_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.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesSumo Logic search expression (e.g. `_sourceCategory=prod/api error`).
fromNoStart time. ISO 8601 (e.g. "2026-05-07T10:00:00") or Sumo relative ("-15m", "-1h", "-1d", "now"). Default "-15m".
toNoEnd time. Same format as `from`. Default "now".
max_resultsNoMax messages to return. Default 100, capped at 1000.
timezoneNoIANA timezone name for the search (e.g. "UTC", "Europe/London"). Default "UTC".

TDQS

A4.4/5.0
Behavior4/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters3/5

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.

Purpose5/5

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.

Usage Guidelines5/5

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.

  1. 1 tool updatev0.1.0
    • First observedsearch_logs
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no potential for ambiguity. The single tool is clearly defined and cannot be confused with any other.

Naming Consistency5/5

The single tool name 'search_logs' follows a clear verb_noun pattern, which is consistent and predictable.

Tool Count2/5

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.

Completeness2/5

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

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • MCP Sumo Logic Server

    samwang0723
    F
    license
    Not graded
    quality
    D
    maintenance
    Integrates with Sumo Logic's API to enable log search with configurable queries and time ranges, supporting error handling and easy deployment via Docker.
    6 npm
    11
    -

  • Graylog MCP Server

    PrinceGupta1999
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to query and analyze logs from Graylog instances using universal search with relative or absolute time windows, supporting both full result retrieval and lightweight count-only queries.
    10 npm
    1
    MIT