A Model Context Protocol (MCP) server for HotKV, a RESP2/RESP3-compatible in-memory data store with built-in AI and LLM-serving features. Lets AI agents read and write keys, agent memory, prompts and RAG documents.
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# HotKV MCP Server [](https://github.com/hotkv-ltd/hotkv-mcp/actions/workflows/ci.yml) [](LICENSE) A [Model Context Protocol](https://modelcontextprotocol.io) server for [HotKV](https://hotkv.com), a RESP2/RESP3-compatible in-memory data store with built-in AI and LLM-serving features (semantic and prompt caching, agent memory, RAG, feature store, rate limiting, time series and more). It lets an AI assistant or agent (Claude, Cursor, VS Code, your own) read and write keys, keep conversation memory and notes, log events, store prompt templates and search documents in a HotKV server. - A fixed set of 28 tools. There is no tool that runs an arbitrary command, so an agent cannot flush a database, change the server's configuration or read the keys of other tenants. - `--read-only` removes every write tool, so the agent cannot even see them. - `--namespace` confines the agent to one prefix: it can only use and list names under it. - Results are capped (`--max-value-bytes`, `--max-items`), and a cut value is flagged `truncated`, so a huge value cannot flood the model's context. - stdio for local clients, streamable HTTP for shared use. Written against HotKV server 0.3.0 and the official `hotkv-client` Python package. ## Install ```bash pip install hotkv-mcp ``` or run it without installing, with [uv](https://docs.astral.sh/uv/): ```bash uvx hotkv-mcp --url hotkv://localhost:6379 ``` Python 3.10 or newer. ## Connect a client The server speaks stdio by default, so a client launches it as a subprocess. **Claude Code** ```bash claude mcp add hotkv -- uvx hotkv-mcp --url hotkv://localhost:6379 ``` **Claude Desktop, Cursor and other clients that read an `mcpServers` file** ```json { "mcpServers": { "hotkv": { "command": "uvx", "args": ["hotkv-mcp", "--read-only"], "env": { "HOTKV_URL": "h…
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