AcademyMCP serversProductivity
Teams with large folders of documents or code who need to find the right file by describing it.
claude mcp add vexor -e VEXOR_API_KEY=sk-... -e VEXOR_CONFIG_JSON={"provider": "gemini", "rerank": "bm25"} -- vexor mcpThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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Searches files and code by what they describe instead of exact words. It builds local indexes, splits code with awareness of its structure, and can rerank results. Embeddings come from an API provider or a fully offline model. It works as a Python API, a CLI and an MCP server.
Teams with large folders of documents or code who need to find the right file by describing it. Searches files and code by what they describe instead of exact words. It builds local indexes, splits code with awareness of its structure, and can rerank results. Embeddings come from an API provider or a fully offline model. It works as a Python API, a CLI and an MCP server.
Run this in your terminal: claude mcp add vexor -e VEXOR_API_KEY=sk-... -e VEXOR_CONFIG_JSON={"provider": "gemini", "rerank": "bm25"} -- vexor mcp
Yes. The code is on GitHub (scarletkc/vexor) under the MIT licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.