MCP server for Mnemosyne -- semantic code retrieval with 6-signal hybrid search and AST-aware compression
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# mnemosyne-mcp MCP server for [Mnemosyne](https://github.com/castnettech/mnemosyne) -- a 6-signal hybrid retrieval engine for code, documents, and database schemas. Reduces LLM context waste by 73%. For the full reference, see [MCP.md](../MCP.md) in the repository root. ## Install ```bash pip install mnemosyne-mcp ``` ## Register with Claude Code ```bash claude mcp add mnemosyne -- mnemosyne-mcp ``` Or add to your project's `.mcp.json`: ```json { "mcpServers": { "mnemosyne": { "command": "mnemosyne-mcp", "args": [] } } } ``` ## Tools ### `search` Federated search across code and document partitions. Code results use 6-signal hybrid retrieval (BM25, TF-IDF, symbol matching, usage frequency, predictive prefetch, optional dense embeddings) fused via Reciprocal Rank Fusion. Document results use BM25 + TF-IDF with isolated vocabulary. Returns labeled sections so the LLM can perform cross-type ranking. **Parameters:** - `query` (string, required) -- natural language or keyword query - `budget` (integer, default 8000) -- maximum token budget - `project_root` (string, optional) -- path to project root ### `search_docs` Search the document partition only (PDFs, DOCX, CSVs, logs, and other non-code files). Uses BM25 and TF-IDF with an isolated vocabulary tuned for prose retrieval. **Parameters:** - `query` (string, required) -- natural language query - `budget` (integer, default 8000) -- maximum token budget - `project_root` (string, optional) -- path to project root ### `index` Index or re-index a codebase. Incremental by default (only processes changed files). Indexes both code and document partitions. **Parameters:** - `project_root` (string, optional) -- path to project root - `full` (boolean, default false) -- force full re-index ### `stats` Show index statistics: file count, chunk count, tokens, language breakdown, chunk types. **Parameters:** - `project_root` (string, optional) -- path to project root ### `schema_ingest` …
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