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Caipi

by pietz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Caipi

A workspace your AI builds into. Connect Caipi to ChatGPT, Claude, or any AI app that speaks MCP. Ask for notes, a page to share, or a small app, and it lands in your own space. Open it on any device, and pick it up again from any connected chat.

  • Any AI app. One MCP connector works in Claude, ChatGPT, Claude Code, Codex, Cursor, and anything else that supports remote MCP.

  • Plain files. Markdown, HTML, and SQLite. Nothing proprietary, and you can take everything with you.

  • Small apps with a real database. A folder with index.html and manifest.json becomes an app. The page calls named SQL operations you declare; it never sends raw SQL.

  • Private by default. Share a single page, a folder, or an app at its own address when you want to.

Use it hosted at caipi.ai (free), or run your own.

Self-hosting

cp .env.example .env    # set CAIPI_OWNER_PASSWORD and CAIPI_PUBLIC_URL
docker compose up -d

Your AI app connects to https://your-domain/mcp from its own cloud, so the server needs a public HTTPS address. A VPS behind Caddy works, and so does a machine at home behind Cloudflare Tunnel or Tailscale Funnel. The full guide, including HTTPS, a separate domain for shared pages, backups, and upgrades, is in docs/self-hosting.md.

Related MCP server: Mnela MCP Server

Development

Requires Python 3.13 and uv.

uv sync
uv run uvicorn caipi.main:app --reload --port 8765
uv run pytest

The app is a Starlette server (caipi/) with an MCP server built on the official Python SDK, SQLite or Postgres for metadata, and plain files on disk for workspaces. Pages are server-rendered with Jinja; there is no frontend build step.

License

AGPL-3.0. You can run, modify, and self-host Caipi freely. If you offer a modified version to others as a service, you must publish your changes under the same license.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

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