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TaskChampion MCP Server

@GabiUp2

Basic information

Category

Other

License

Apache-2.0

Author

GabiUp2

About TaskChampion MCP Server

TaskChampion MCP Server

TaskChampion MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "taskchampion": {
      "command": "uvx",
      "args": [
        "taskchampion-mcp"
      ]
    }
  }
}

TaskChampion MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is TaskChampion MCP?

TaskChampion MCP is a Model Context Protocol server that lets LLMs read, create, modify, and manage Taskwarrior 3.x tasks and Timewarrior time entries. It wraps the task and timew CLI tools and exposes them as structured MCP tools for any compatible AI assistant. It is for users who self-host TaskChampion and want LLMs to help with project planning, task decomposition, and time tracking.

How to use TaskChampion MCP?

Install via pip install taskchampion-mcp or uv tool install taskchampion-mcp, then configure your IDE’s MCP settings to use the command taskchampion-mcp-server with no arguments. On first run, the server boots in onboarding mode; you must set role and schema/schema_path in ~/.config/taskchampion-mcp/config.toml — either through an LLM-driven walkthrough, the CLI wizard (./dev.sh init), or by hand-editing the config.

Key features of TaskChampion MCP

  • Three cumulative permission roles: CONTRIBUTOR, GENERATOR, MANAGER
  • Bundled task schema presets (minimal, gtd, scrum, kanban, custom)
  • No shell execution – subprocess argument lists only
  • Input sanitization and configurable rate limiting
  • Full audit logging with timestamp and result code
  • Dry-run mode and confirmation tokens for destructive operations
  • Sensitive field redaction in LLM responses

Use cases of TaskChampion MCP

  • Let an LLM assist with project planning and task breakdown.
  • Automate time tracking by having an AI create Timewarrior entries.
  • Delegate task creation and modification while keeping full control.
  • Manage a Taskchampion task database from LLM-powered editors (Neovim, Cursor, VS Code, Windsurf, Claude Desktop).

Frequently asked questions

1

What happens on first run?

On a fresh install with no config, the server boots in onboarding mode. All tools are visible in `tools/list`, but operational tools return structured `schema_unset` errors until you set `role` and `schema`/`schema_path` in `~/.config/taskchampion-mcp/config.toml`.

2

How do I set up roles and schemas?

Set `role` (CONTRIBUTOR / GENERATOR / MANAGER) and `schema` or `schema_path` under the `[server]` section in `config.toml`. You can use the LLM-driven initialization process, the CLI wizard (`./dev.sh init`), or hand-edit the file and then call `reload_configuration`.

3

What permission levels does TaskChampion MCP support?

Three cumulative roles: CONTRIBUTOR (read, annotate, modify), GENERATOR (plus create), and MANAGER (plus complete and delete). Set the role in `~/.config/taskchampion-mcp/config.toml`.

4

Why are tools returning errors after connecting?

If tools return `schema_unset` errors, `~/.config/taskchampion-mcp/config.toml` is missing either `role` or `schema`/`schema_path`. Add both and call `reload_configuration` or restart the MCP server.

5

Is the server secure?

Yes. All CLI calls use subprocess argument lists (never `shell=True`), LLM inputs are sanitized against allowlists, configurable rate limiting caps requests per minute/hour, every operation is audit-logged, and destructive actions support dry-run previews and confirmation tokens.

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