S

Semantic Context Mcp

@zishengwu

A Model Context Protocol (MCP) server that leverages a vector database to efficiently index and query the codebase.

Memory & Knowledge #semantic-context-mcp #code-search #vector-database

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Server config

{
  "mcpServers": {
    "Semantic Context MCP Server": {
      "command": "fastmcp",
      "args": [
        "run",
        "your_code_base/semantic-context-mcp/vector_search/fast_mcp_server.py:mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your_api_key",
        "OPENAI_BASE_URL": "your_api_base_url",
        "OPENAI_MODEL_NAME": "your_embedding_model_name"
      }
    }
  }
}

Basic information

Transports: stdio
Publisher: zishengwu
Submitted by: william cris

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