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