Moatless MCP Server

semantic_search

Search code using natural language queries with vector embeddings. Filter results by code chunk type and retrieve relevant matches efficiently.

Instructions

Search for code using natural language descriptions with vector embeddings

Input Schema

Name	Required	Description
`api_key`	No	Jina AI API key for embeddings (can also be set via JINA_API_KEY env var)
`filter_type`	No	Filter results by code chunk type
`max_results`	No	Maximum number of results to return (default: 10)
`query`	Yes	Natural language description of what to find

Input Schema (JSON Schema)

{
  "properties": {
    "api_key": {
      "description": "Jina AI API key for embeddings (can also be set via JINA_API_KEY env var)",
      "type": "string"
    },
    "filter_type": {
      "description": "Filter results by code chunk type",
      "enum": [
        "class",
        "function",
        "method",
        "class_header",
        "context"
      ],
      "type": "string"
    },
    "max_results": {
      "default": 10,
      "description": "Maximum number of results to return (default: 10)",
      "type": "integer"
    },
    "query": {
      "description": "Natural language description of what to find",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "type": "object"
}

Install Server

HTTP connection URL

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