ltm-mcp-server
Enables MCP-capable AI to perform read-only semantic search over a local document corpus stored in Postgres with pgvector, using mxbai-embed-large embeddings and optional reranking for confidence-gated results.
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- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
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Install
No one-command install. Set it up from its source.
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What it is
Enables MCP-capable AI to perform read-only semantic search over a local document corpus stored in Postgres with pgvector, using mxbai-embed-large embeddings and optional reranking for confidence-gated results.
When to use it
Enables MCP-capable AI to perform read-only semantic search over a local document corpus stored in Postgres with pgvector, using mxbai-embed-large embeddings and optional reranking for confidence-gated results.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.