TaskMateAIは、AIが自律的にタスクを管理・実行するためのシンプルなタスク管理アプリケーションで、MCP (Model Context Protocol)を通じて操作できます。
If you already use TaskMateAI, the taskmateai mcp server is the piece that lets your assistant work with it directly. TaskMateAIは、AIが自律的にタスクを管理・実行するためのシンプルなタスク管理アプリケーションで、MCP (Model Context Protocol)を通じて操作できます。.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
test_task_utils.py — タスクの読み書き、ID生成などの基本機能をテストtest_mcp_tools.py — MCPツールの機能（タスクの作成、更新、完了など）をテストtest_agent_projects.py — エージェントIDとプロジェクト管理機能をテストSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. TaskMateAI's toolset — test_task_utils.py, test_mcp_tools.py, test_agent_projects.py — is a fair guide to whether it matches your workflow. It is maintained by NewAITees; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against TaskMateAI's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| test_task_utils.py | タスクの読み書き、ID生成などの基本機能をテスト |
| test_mcp_tools.py | MCPツールの機能（タスクの作成、更新、完了など）をテスト |
| test_agent_projects.py | エージェントIDとプロジェクト管理機能をテスト |
### MCP構成
MCPで利用するための設定例:
```json
{
"mcpServers": {
"TodoApplication": {
"command": "uv",
"args": [
"--directory",
"/絶対パス/TaskMateAI",
"run",
"TaskMateAI"
],
"env": {},
"alwaysAllow": [
"get_tasks", "get_next_task", "create_task", "update_progress",
"complete_task", "add_subtask", "update_subtask", "add_note",
"list_agents", "list_projects"
],
"defaultArguments": {
"agent_id": "agent_123",
"project_name": ""
}
}
}
}Configuration as documented by the project. Restart the client after saving.
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