sumo-mcp
sumo-mcp
Minimaler MCP-Server, der ein einzelnes search_logs-Tool für Sumo Logic bereitstellt.
Build
npm install
npm run buildRelated MCP server: Graylog MCP Server
In Claude Code konfigurieren
API-Schlüssel
In Sumo:
Klicken Sie auf Ihren Benutzernamen und wählen Sie
Personal Access KeysKlicken Sie auf
Add New Access KeyGeben Sie einen Namen ein, z. B.
Claude LocalWählen Sie unter Scope
CustomausAktivieren Sie
Run Log Searchim AbschnittLog SearchSpeichern Sie den Schlüssel
Installieren
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.jsSUMO_ENDPOINT muss mit https://api.*.sumologic.com übereinstimmen. Wählen Sie den Host für Ihre Sumo-Bereitstellungsregion (US2, EU, AU usw.).
Tool
search_logs(query, from?, to?, max_results?, timezone?)
query— Sumo-Suchausdruckfrom/to— ISO 8601 oder Sumo-relativ (-15m,-1h,now). Standard-15m/nowmax_results— Standard 100, begrenzt auf 1000timezone— IANA-Name, StandardUTC
Gibt ein JSON-Array von Nachrichten mit _messageTime, _sourceCategory, _sourceHost, _sourceName, _raw zurück.
Harter Timeout 60s — schränken Sie den Zeitbereich oder die Abfrage ein, wenn Sie diesen erreichen.
Design
Siehe 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.
1 tool update
v0.1.0- First observed
search_logs
TDQS
Scored across 1 tool
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
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Related MCP Servers
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