AGI MCP Server

search_memories_similarity

Find related memories by comparing embedding vector similarities on the AGI MCP Server, enabling AI systems to retrieve relevant past experiences based on a defined threshold and limit.

Instructions

Search memories by vector similarity

Input Schema

Name	Required	Description
`embedding`	Yes	Query embedding vector
`limit`	No	Maximum number of results
`threshold`	No	Minimum similarity threshold

Input Schema (JSON Schema)

{
  "properties": {
    "embedding": {
      "description": "Query embedding vector",
      "items": {
        "type": "number"
      },
      "type": "array"
    },
    "limit": {
      "default": 10,
      "description": "Maximum number of results",
      "type": "integer"
    },
    "threshold": {
      "default": 0.7,
      "description": "Minimum similarity threshold",
      "type": "number"
    }
  },
  "required": [
    "embedding"
  ],
  "type": "object"
}

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/QuixiAI/agi-mcp-server'

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