Task Manager MCP Server
Provides tools for interacting with GitHub, including listing repositories, reading file contents, creating issues, managing pull requests, and searching code across GitHub.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Task Manager MCP ServerAdd task 'Buy milk' with description 'Need for breakfast'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
my-mcp-tasks
An MCP (Model Context Protocol) learning project with two custom task manager servers and the prebuilt GitHub MCP server.
Project structure
my-mcp-tasks/
├── reader_server.py # MCP server: read tools (get_tasks, get_task_by_id)
├── writer_server.py # MCP server: write tools (add_task, update_task)
├── mcp_config.json # MCP server config for Claude
├── requirements.txt # Python dependencies
├── tasks.db # SQLite database (auto-created on first run)
├── .env # Your GitHub token (never commit this)
└── .gitignoreRelated MCP server: Project Tracking MCP Server
Installation
1. Create and activate a virtual environment
python3 -m venv venv
source venv/bin/activate2. Install dependencies
pip install -r requirements.txtSetting up the GitHub MCP server
Go to GitHub → Settings → Developer settings → Personal access tokens → Tokens (classic)
Generate a new token with the scopes you need (e.g.
repo,read:user)Open
.envand paste your token:
GITHUB_PERSONAL_ACCESS_TOKEN=ghp_your_token_hereRegistering the servers with Claude
Claude Desktop
Open Claude Desktop → Settings → Developer → Edit Config
Copy the contents of
mcp_config.jsoninto your Claude Desktop configReplace
${workspaceFolder}with the absolute path to this project folderReplace
python3with the full path to your venv Python, e.g.:/Users/yourname/Desktop/Playground/MCP-Project/venv/bin/pythonRestart Claude Desktop
Claude Code (CLI)
Run from inside this project folder with the venv active:
claude mcp add task-reader python3 reader_server.py
claude mcp add task-writer python3 writer_server.py
claude mcp add github npx -- -y @modelcontextprotocol/server-githubTesting the custom task manager tools
Once the servers are registered, try these prompts in Claude:
Add tasks
"Add a task called 'Buy groceries' with description 'Milk, eggs, bread'" "Create a task: title 'Fix login bug', description 'Users can't log in on mobile', status 'in-progress'"
Read tasks
"Show me all my tasks" "Get task number 2"
Update tasks
"Mark task 1 as done" "Update task 3's status to 'in-progress'"
GitHub MCP server — what tools it adds
The prebuilt @modelcontextprotocol/server-github exposes tools for interacting with GitHub via Claude. You don't write any of this code — it runs via npx.
Area | What you can do |
Repositories | List your repos, get repo details, create a new repo |
Files | Read file contents, list directory contents |
Issues | Create issues, list issues, add comments |
Pull requests | List PRs, get PR details, review PR diffs |
Code search | Search across GitHub for code, files, or repos |
Example prompts to try:
"List all my GitHub repositories" "Show me the contents of the README in my repo my-mcp-tasks" "Create a GitHub issue in my-mcp-tasks titled 'Add due date field to tasks'" "Search GitHub for MCP server examples in Python"
How MCP works (the short version)
Each server runs as a separate process. Claude communicates with it over stdin/stdout. Claude sees only the tool names and descriptions — it uses those to decide which tool to call and with what arguments. Your handler code runs, queries the database (or calls the GitHub API), and returns a result that Claude reads and incorporates into its response.
In Python, FastMCP reads the function name as the tool name, the docstring as the description, and the type hints as the input schema — so there's no separate schema definition needed.
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