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MCP RAG

by santis84

search_memory

Search through agent memory to retrieve relevant information using semantic similarity matching. Specify queries to find stored data with configurable relevance thresholds and result limits.

Instructions

Search for relevant information in agent memory

Input Schema

NameRequiredDescriptionDefault
agentIdNoFilter by specific agent ID (optional)
limitNoMaximum number of results to return (default: 10)
queryYesSearch query to find relevant memory entries
thresholdNoMinimum similarity threshold (0-1, default: 0.7)

Input Schema (JSON Schema)

{ "properties": { "agentId": { "description": "Filter by specific agent ID (optional)", "type": "string" }, "limit": { "default": 10, "description": "Maximum number of results to return (default: 10)", "type": "number" }, "query": { "description": "Search query to find relevant memory entries", "type": "string" }, "threshold": { "default": 0.7, "description": "Minimum similarity threshold (0-1, default: 0.7)", "type": "number" } }, "required": [ "query" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/santis84/mcp-rag'

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