MCP server that lets any agent query a remote oG-Memory knowledge base with just OGMEM_API_URL + OGMEM_API_TOKEN
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# oG-Memory RAG MCP [](https://pypi.org/project/ogmem-rag-mcp/) [](https://github.com/PoivronMax/oG-Memory-RAG/actions/workflows/ci.yml) [](LICENSE) An [MCP](https://modelcontextprotocol.io) server that gives any agent a `search_kb` tool over a **remote** [oG-Memory](https://gitcode.com/Maxime_Hao/oG-Memory) knowledge base. Install this MCP, set two environment variables — `OGMEM_API_URL` and `OGMEM_API_TOKEN` — and your agent can query the shared knowledge base directly. **No local oG-Memory install, no vector DB, nothing else.** The knowledge base runs on a server; this is just the thin client that connects your agent to it. ``` agent (Claude Code / Cursor / VS Code / …) └─ ogmem-rag-mcp ──HTTP──► oG-Memory server (search_kb, token-gated) tool: search_kb └─ vector + BM25 retrieval over the KB ``` ## Requirements - [`uv`](https://docs.astral.sh/uv/) on PATH (provides `uvx`). Nothing else — `uvx` fetches and runs the server on demand. - An oG-Memory KB server URL and its team token (ask your admin). ## Configuration (the only two you must set) | Variable | Required | Meaning | |---|---|---| | `OGMEM_API_URL` | ✅ | The KB server, e.g. `http://110.40.165.184:19532` | | `OGMEM_API_TOKEN` | ✅ for shared servers | Team token, sent as the `X-KB-Token` header | | `OGMEM_ACCOUNT_ID` | optional | KB account (default `compatibility-sdk-5.1.1`) | | `OGMEM_USER_ID` | optional | Caller id recorded in retrieval signals | | `OGMEM_TIMEOUT` | optional | Per-request seconds (default `60`) | --- ## Install Every host uses the same command — `uvx ogmem-rag-mcp` — with the two env vars. Pick your host below. ### Cursor [](https://cursor.com/install-mcp?name=ogmem-r…
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