Productivity · Local MCP server
haiku.rag
Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval.
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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | haiku-rag | 0.92.0 | stdio |
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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