A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG). It indexes your documents and serves relevant context to Large Language Models via the MCP protocol.
mcp-rag-server is an MCP project maintained in the kwanleefrmvi/mcp-rag-server repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG). It indexes your documents and serves relevant context to Large Language Models via…”. Read the project documentation for the complete scope.
The documented npm package is mcp-rag-server. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares BASE_LLM_API, EMBEDDING_MODEL, VECTOR_STORE_PATH, CHUNK_SIZE. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| embedding_documents | path: string): Index documents under the given path |
| query_documents | query: string, k?: number): Retrieve top k chunks (default 15) |
| remove_document | path: string): Remove a specific document |
| remove_all_documents | confirm: boolean): Clear the entire index (confirm=true) |
| list_documents | ): List all indexed document paths |
{
"mcpServers": {
"rag": {
"command": "npx",
"args": [
"-y",
"mcp-rag-server"
],
"env": {
"BASE_LLM_API": "http://localhost:11434/v1",
"EMBEDDING_MODEL": "nomic-embed-text",
"VECTOR_STORE_PATH": "./vector_store",
"CHUNK_SIZE": "500"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| BASE_LLM_API | Declared in the maintainer’s client configuration. | Check documentation |
| EMBEDDING_MODEL | Declared in the maintainer’s client configuration. | Check documentation |
| VECTOR_STORE_PATH | Declared in the maintainer’s client configuration. | Check documentation |
| CHUNK_SIZE | Declared in the maintainer’s client configuration. | Check documentation |
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