TaskFlow is an MCP server that provides task management capabilities to Claude Desktop using FastMCP. Built primarily for developers, team leads, and individual contributors managing projects via conversational AI interfaces, it exposes a suite of operations against an in-memory task database. Users can instruct Claude to generate detailed tasks, track assignments across team members, and modify task lifecycles through states like pending, in-progress, completed, and cancelled. In addition to basic creation and editing, TaskFlow provides automated tracking for overdue deadlines, keyword and tag searches across existing task descriptions, and specialized model prompts. These prompts support structured workflows such as breaking down complex project plans into actionable items, generating automated daily standup reports, and reviewing active blockers. The server also exposes dashboard metrics, user portfolios, and task details as direct MCP resources for context-aware project oversight.
Category: Project & Task Management
Tags: planning, productivity, tasks, workflow
bash conda create -n mcp-project python=3.10 conda activate mcp-project 2. Install required dependencies: bash pip install mcp requests pip install --upgrade typer 3. Initialize the project with uv and add MCP CLI support: bash uv init taskflow-mcp cd taskflow-mcp uv add "mcp[cli]" 4. Add the repository source code to your directory structure and install the server: bash uv run mcp install main.py 5. Open your claude_desktop_config.json file and register the server under mcpServers: json { "mcpServers": { "TaskFlow": { "command": "/path/to/your/project/.venv/Scripts/python.exe", "args": [ "/path/to/your/project/main.py" ] } } } 6. Restart Claude Desktop.Part of MCP Servers
TaskFlow is an MCP server built with FastMCP that integrates task management tools, resources, and planning prompts into Claude Desktop, enabling users to manage projects conversationally.
TaskFlow provides tools to create tasks, update statuses, retrieve task details, list tasks assigned to specific users, track overdue tasks, and search tasks by title, description, or tags.
TaskFlow is configured and tested for Claude Desktop, though it can run on any MCP-compliant client that supports local Python-based standard I/O server configurations.
Install Python 3.10, install dependencies like mcp and typer, set up the project files with uv, and register the Python executable path and main.py file in your claude_desktop_config.json configuration.