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Glama

Documentation Search MCP Server

semantic_search

Perform semantic searches across multiple libraries to retrieve relevant results ranked by relevance scores, leveraging context for enhanced precision in documentation search.

Instructions

Enhanced semantic search across one or more libraries with relevance ranking. Args: query: The search query. libraries: A single library or a list of libraries to search in. context: Optional context about your project or use case. Returns: Enhanced search results with relevance scores and metadata, ranked across all libraries.

Input Schema

NameRequiredDescriptionDefault
contextNo
librariesYes
queryYes

Input Schema (JSON Schema)

{ "properties": { "context": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Context" }, "libraries": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "title": "Libraries" }, "query": { "title": "Query", "type": "string" } }, "required": [ "query", "libraries" ], "title": "semantic_searchArguments", "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/anton-prosterity/documentation-search-mcp'

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