Files and documents · MCP server
Haiku.rag: MCP server, setup and security
Haiku.rag is an open-source MCP server published on GitHub that lets an AI agent retrieve multimodal documents locally with hybrid search, reranking and citations. Its repository has 636 stars and its last commit is from October 23, 2026 and it is licensed under MIT.
| Adoption (stars) | 28/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 15/30 |
What Haiku.rag does
According to its repository: “Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Haiku.rag is listed under Files and documents, a category of 55 servers in the directory, where it ranks #7 by stars.
Topics declared by the repository: rag, lancedb, pydantic-ai, docling, ag-ui, agentic-rag.
Installing and connecting Haiku.rag
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Haiku.rag:
- System access: the Files and documents category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on October 13, 2024, the ggozad/haiku.rag repository has 636 stars and 55 forks, with 3 open issues. It has more stars than 89% of the servers in the directory. It received changes this month. Version published in the registry: 0.101.0 (October 23, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Haiku.rag is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Widely followed: 636 stars
- Listed in the official MCP registry
- Permissive licence (MIT)
Avoid if…
- You cannot isolate the agent (sandbox, container)
Alternatives
- Markitdown191.9K ★
- Puter43.9K ★
- Filestash14.8K ★
- RevoGrid DataGrid MCP3.5K ★
- Mu436 ★
- Everything Search367 ★
Learn more
Frequently asked questions
How do I install Haiku.rag?
Haiku.rag is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of ggozad/haiku.rag.
Is Haiku.rag free?
The code is published under the MIT licence and can be used free of charge.
Is Haiku.rag safe?
Points to watch: system access. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by ggozad on GitHub. Check who maintains it before giving it access.
What are the alternatives to Haiku.rag?
In the same category: Markitdown, Puter, Filestash, and RevoGrid DataGrid MCP. Markitdown and Puter score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score