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.
Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
process.env. You'll be asked to provide them before it can run.LTM_PGHOST— / LTM_PGPORT 127.0.0.1 / 5433 PostgresLTM_PGPORT— LTM_PGHOST / 127.0.0.1 / 5433 PostgresLTM_PGUSER— / LTM_PGDATABASE postgres / brain PostgresLTM_PGDATABASE— LTM_PGUSER / postgres / brain PostgresLTM_EMBED_MODEL— mxbai-embed-large embedding modelLTM_RERANK_PYTHON— / LTM_RERANK_SCRIPT unset (rerank off) cross-encoder workerLTM_RERANK_SCRIPT— LTM_RERANK_PYTHON / unset (rerank off) cross-encoder workerLTM_RERANK_CANDIDATES— 50 rerank pool sizeLTM_RERANK_TIMEOUT_SLTM_LOW_RERANK— / LTM_HIGH_RERANK 3 / 6 confidence gatesLTM_HIGH_RERANK— LTM_LOW_RERANK / 3 / 6 confidence gatesLTM_LOW_COSINELTM_HIGH_COSINELTM_HTTP_HOST— / LTM_HTTP_PORT 127.0.0.1 / 8322 HTTP modeLTM_HTTP_PORT— LTM_HTTP_HOST / 127.0.0.1 / 8322 HTTP modeLTM_PUBLIC_HOST— port-forward. Set to your tunnel hostname so it passes the[](https://m8ven.ai/mcp/mklcapital-ltm-mcp-6ogrme)