Model Context Protocol (MCP) server for task management, built with FastMCP. Integrate task management capabilities into Claude Desktop.
Model Context Protocol (MCP) server for task management, built with FastMCP. Integrate task management capabilities into Claude Desktop. The taskflow 101 mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 9 defined tools rather than through you.
Everything the assistant can do here goes through one of these:
create_task — Create new tasks with full specificationsupdate_task_status — Update task status and track completionget_task_details — Retrieve comprehensive task informationlist_tasks_by_user — Filter tasks by assignee and statusget_overdue_tasks — Identify overdue items needing attentionsearch_tasks — Search across titles, descriptions, and tagsResources — The Resources tool exposed by this serverPrerequisites — The Prerequisites tool exposed by this serverInstallation — 1. Create and activate conda environment: bash conda create -n mcp-project python=3.10 conda activate mcp-projectmcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. TaskFlow 101's toolset — create_task, update_task_status, get_task_details and 6 more — is a fair guide to whether it matches your workflow. It is maintained by MuthuPalaniappan925; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| create_task | Create new tasks with full specifications |
| update_task_status | Update task status and track completion |
| get_task_details | Retrieve comprehensive task information |
| list_tasks_by_user | Filter tasks by assignee and status |
| get_overdue_tasks | Identify overdue items needing attention |
| search_tasks | Search across titles, descriptions, and tags |
| Resources | The Resources tool exposed by this server. |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | 1. **Create and activate conda environment:** bash conda create -n mcp-project python=3.10 conda activate mcp-project |
{
"mcpServers": {
"TaskFlow": {
"command": "/path/to/your/project/.venv/Scripts/python.exe",
"args": [
"/path/to/your/project/main.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.