mcp-local-rag
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
A RAG-based web search and deep research model context protocol (MCP) server that runs entirely locally. Features multi-engine research across 9+ search backends with semantic similarity ranking, and requires no API keys.
- Features
- Multi-Engine Deep Research
- Installation
- Run Directly via
uvx - Using Docker (recommended)
- Run Directly via
- Agent Skills
- Security audits
- MCP Clients
- Examples on Claude Desktop
- Result
- Contributing
- License
%%{init: {'theme': 'base'}}%%
flowchart TD
A[User] -->|1.Submits LLM Query| B[Language Model]
B -->|2.Sends Query| C[mcp-local-rag Tool]
subgraph mcp-local-rag Processing
C -->|Search DuckDuckGo| D[Fetch 10 search results]
D -->|Fetch Embeddings| E[Embeddings from Google's MediaPipe Text Embedder]
E -->|Compute Similarity| F[Rank Entries Against Query]
F -->|Select top k results| G[Context Extraction from URL]
end
G -->|Returns Markdown from HTML content| B
B -->|3.Generated response with context| H[Final LLM Output]
H -->|5.Present result to user| A
classDef default stroke:#333,stroke-width:2px;
classDef process stroke:#333,stroke-width:2px;
classDef input stroke:#333,stroke-width:2px;
classDef output stroke:#333,stroke-width:2px;
class A input;
class B,C process;
class G output;
