Local stdio MCP connector for Pullini artifacts (E6, T6).
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# pullini-mcp A local **stdio** [MCP](https://modelcontextprotocol.io) connector that lets an agent create, read, update, delete and share [Pullini](https://github.com/rykhalskyi/pullini) artifacts, and generate self-study quizzes and static Q&A sets about wiki pages or artifacts, over the authenticated artifact REST API. The connector runs on the agent's machine. It reads its configuration from the environment and needs no ASGI or OAuth infrastructure on the Pullini host (decision D-25). ## Install Runs with [uv](https://docs.astral.sh/uv/), no install step required: ```bash uvx pullini-mcp ``` Or install it into an environment: ```bash uv tool install pullini-mcp # or: pip install pullini-mcp ``` ## Configure Two environment variables: | Variable | Description | | --------------- | ------------------------------------------------------------------ | | `PULLINI_URL` | Base URL of your Pullini host, e.g. `https://pullini.example.com`. | | `PULLINI_TOKEN` | A personal access token created at `/settings/tokens/` (`pln_…`). | The token is sent as `Authorization: Bearer <token>`; all resources are scoped to the token's owner. Treat the raw secret like a password. ### MCP client config The client launches the server and passes the two variables. The examples below are for [opencode](https://opencode.ai) (`opencode.jsonc`); adapt the shape to your own MCP client. The same example lives in [`mcp.example.json`](mcp.example.json). **From a local checkout** (before the package is published): point `--directory` at the `mcp/` folder of your clone. ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "pullini": { "type": "local", "command": ["uv", "run", "--directory", "/path/to/pullini/mcp", "pullini-mcp"], "enabled": true, "environment": { "PULLINI_URL": "http://localhost:8000", "PULLINI_TOKEN": "pln_xxxxxxxx_yyyyyyyyyyyyyyyyyyyyyyyy" …
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