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sumo-mcp

by droyad
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JavaScript
Remote

sumo-mcp

极简的 MCP 服务器，为 Sumo Logic 提供了一个 search_logs 工具。

构建

npm install
npm run build

Related MCP server: Graylog MCP Server

在 Claude Code 中配置

API 密钥

在 Sumo 中：

  • 点击您的用户名并选择 Personal Access Keys

  • 点击 Add New Access Key

  • 输入名称，例如 Claude Local

  • 在作用域下选择 Custom

  • 在 Log Search 部分勾选 Run Log Search

  • 保存密钥

安装

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_ENDPOINT 必须匹配 https://api.*.sumologic.com。请选择您 Sumo 部署区域（US2、EU、AU 等）对应的主机。

工具

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

  • query — Sumo 搜索表达式

  • from / to — ISO 8601 格式或 Sumo 相对时间（-15m、-1h、now）。默认值为 -15m / now

  • max_results — 默认 100，上限 1000

  • timezone — IANA 时区名称，默认 UTC

返回一个包含消息的 JSON 数组，字段包括 _messageTime、_sourceCategory、_sourceHost、_sourceName 和 _raw。

硬超时限制为 60 秒 — 如果遇到超时，请缩小时间范围或优化查询。

设计

请参阅 docs/superpowers/specs/2026-05-07-sumo-mcp-design.md。

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

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    Integrates with Sumo Logic's API to enable log search with configurable queries and time ranges, supporting error handling and easy deployment via Docker.
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  • Graylog MCP Server

    PrinceGupta1999
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    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.
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