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3 days ago
glama

mcp-semantic-search

Enables semantic search over local markdown specs, RFCs, and docs using Ollama and LanceDB, allowing AI agents to find relevant information by meaning rather than exact keywords.

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// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: GEMINI_API_KEY. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 1 credential: GEMINI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCLAUDE_PROJECT_DIR
configDB_PATHproject>/.mcp-search Where LanceDB index is stored
configEMBEDDING_BACKENDollama Vector provider: ollama or gemini
🔐 secretGEMINI_API_KEY_(Required)_ Required when EMBEDDING_BACKEND=gemini
configGEMINI_BASE_URL
configGEMINI_EMBEDDING_DIMENSIONS768 Vector width (128–3072)
configGEMINI_EMBEDDING_MODELgemini-embedding-001 Embedding model to use
configMIN_SCORE0.44 Default similarity threshold
configOLLAMA_BASE_URL
configOLLAMA_EMBEDDING_MODELqwen3-embedding:0.6b Embedding model to use
configSPECS_DIRproject>/specs Absolute path to markdown specs
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lemuelflores-spec-search-mcp-08kmsk)](https://m8ven.ai/mcp/lemuelflores-spec-search-mcp-08kmsk)
commit: 85e8131fd5fef8547d9108bfb9591cb5af228a9e
code hash: 059acb820cf51ffe356de7ae14a0997f94c381dc5d18dce82affde30eff3f1af
verified: 7/28/2026, 9:10:58 AM
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