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Glama

Knowledge MCP Server

by sven-borkert

search_knowledge

Quickly locate technical details and related content across project documents using intelligent keyword search with result grouping. Ideal for researching before creating new content or verifying existing documentation.

Instructions

Search project knowledge documents for keywords with intelligent result grouping.

When to use this tool:

  • Finding information across multiple documents

  • Locating specific technical details

  • Discovering related content

  • Checking if topic is already documented

  • Researching before creating new content

Key features:

  • Case-insensitive full-text search

  • Searches document body, titles, and content

  • Groups results by document

  • Returns matching chapters with context

  • Space-separated keyword support

You should:

  1. Use specific keywords for better results

  2. Try multiple search terms if needed

  3. Search before creating new documents

  4. Use 2-3 word phrases for precision

  5. Review all results before concluding

  6. Consider variations of technical terms

  7. Check both titles and content matches

DO NOT use when:

  • Know exact document and chapter

  • Need complete document listing

  • Searching for project main content

Returns: {success: bool, total_documents: int, total_matches: int, results: [...], error?: str}

Input Schema

NameRequiredDescriptionDefault
project_idYesThe project identifier
queryYesSpace-separated keywords to search for

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "project_id": { "description": "The project identifier", "maxLength": 100, "minLength": 1, "type": "string" }, "query": { "description": "Space-separated keywords to search for", "maxLength": 200, "minLength": 1, "type": "string" } }, "required": [ "project_id", "query" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sven-borkert/knowledge-mcp'

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