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laurus-mcp
Model Context Protocol (MCP) server for the Laurus search engine. Enables AI assistants such as Claude to index documents and perform searches through the standard MCP stdio transport.
Features
- MCP stdio transport -- Runs as a subprocess; communicates with the AI client via stdin/stdout
- gRPC client -- Proxies all tool calls to a running
laurus-serverinstance - All search modes -- Lexical (BM25), vector (HNSW/Flat/IVF), and hybrid search
- Dynamic connection -- Connect to any laurus-server endpoint via the
connecttool - Document lifecycle -- Put, add, get, delete, and search documents through MCP tools
Architecture
AI Client (Claude, etc.)
└─ stdio (JSON-RPC) ─→ laurus-mcp
└─ gRPC ─→ laurus-server
└─ Index on Disk
Quick Start
# Start laurus-server
# Configure Claude Code
MCP Tools
| Tool | Description |
|---|---|
connect |
Connect to a laurus-server gRPC endpoint |
create_index |
Create a new index with a schema |
get_stats |
Get index statistics (document count, vector fields) |
get_schema |
Get the current index schema |
add_field |
Dynamically add a field to the index |
delete_field |
Remove a field from the schema |
put_document |
Put (upsert) a document |
add_document |
Add a document as a new chunk (append) |
get_documents |
Retrieve all documents by ID |
delete_documents |
Delete all documents by ID |
commit |
Commit pending changes to disk |
search |
Search documents using the Laurus query DSL |
Documentation
License
This project is licensed under the MIT License - see the LICENSE file for details.