Donetick MCP Server
Enables Claude and other MCP-compatible AI assistants to interact with a Donetick chores management instance, providing tools for chore management, label organization, and user management.
README
Donetick MCP
An MCP server that turns your Donetick instance into tools. Create, list, update, complete, and skip chores, manage things, and check circle members and completion history.
Authenticated with a Donetick API token (no username or password). Built with FastMCP.
Run with Docker
You need a Donetick instance and an access token (settings > Advanced > API).
docker build -t donetick-mcp .
docker run -e DONETICK_BASE_URL=https://donetick.example.com \
-e DONETICK_API_TOKEN=your-token \
donetick-mcp
Settings
| name | default | notes |
|---|---|---|
DONETICK_BASE_URL |
- | required, https only |
DONETICK_API_TOKEN |
- | required, from Donetick settings |
LOG_LEVEL |
INFO | |
RATE_LIMIT_PER_SECOND |
10 | |
RATE_LIMIT_BURST |
10 |
Values can come from a .env file in the working directory.
Serve over HTTP
By default the server talks stdio (one process per client). To expose it as an HTTP MCP endpoint behind a gateway (e.g. LiteLLM), set the FastMCP transport env vars - no code change required:
| env | default |
|---|---|
FASTMCP_TRANSPORT |
stdio |
FASTMCP_HOST |
127.0.0.1 |
FASTMCP_PORT |
8000 |
FASTMCP_STREAMABLE_HTTP_PATH |
/mcp |
Example - serve streamable-http on all interfaces:
FASTMCP_TRANSPORT=streamable-http FASTMCP_HOST=0.0.0.0 FASTMCP_PORT=8000 \
donetick-mcp
Tools
Chores: list_chores, get_chore, create_chore, complete_chore, update_chore, delete_chore, update_chore_priority, update_chore_assignee, skip_chore, update_subtask_completion, archive_chore, unarchive_chore, undo_chore, approve_chore, reject_chore, start_chore, pause_chore
Things: list_things, get_thing, get_thing_state, change_thing_state, create_thing, update_thing, delete_thing, get_thing_history
Circle: get_circle_members, list_circles, get_join_requests, accept_join_request, join_circle, leave_circle, change_member_role, delete_circle_member, redeem_points
Projects: list_projects, create_project, update_project, delete_project
History: get_chore_history, get_all_chores_history, get_chore_details
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.