Productivity · Local MCP server

haiku.rag

Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval.

Visit haiku.rag's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.ggozad/haiku-rag
Version
0.92.0
Status
Active
Category
productivity
Transport
stdio (local process)
Package
PyPI
Published
2026-10-02
Updated
2026-10-02
Publisher
ggozad (GitHub)
Website
ggozad.github.io/haiku.rag/
Repository
github.com/ggozad/haiku.rag
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxhaiku-rag0.92.0stdioNone declared

How to connect haiku.rag

haiku.rag runs locally from a Python package published to PyPI: haiku-rag version 0.92.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx haiku-rag.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "haiku-rag": {
      "command": "uvx",
      "args": [
        "haiku-rag"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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