Haiku RAG is an agentic retrieval-augmented generation (RAG) server that integrates various AI tools for document management, search, question answering, and research workflows.
From the registry: Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
Please install the `haiku-rag` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.12+** — Haiku RAG requires Python 3.12 or newer (https://python.org)
- **Install haiku.rag** — Install via pip Run: `pip install haiku.rag` (https://pypi.org/project/haiku.rag/)
- **Embedding provider** — Configure an embedding provider (Ollama, OpenAI, VoyageAI, etc.) (https://ggozad.github.io/haiku.rag/installation/)
Canonical MCP server config (stdio transport):
- command: `haiku-rag`
- args: ["serve","--mcp","--stdio"]
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
MCP Toolbox for Databases enables your agent to connect to your database.
MCP Toolbox for Databases enables your agent to connect to your database.