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., "@Amazing Marvin MCP Servershow me my tasks for today"
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.
Amazing Marvin MCP Server
π Hosted on Smithery - Install-free access to Amazing Marvin through Claude and other MCP clients
A high-quality Model Context Protocol (MCP) server that connects AI assistants to Amazing Marvin, the powerful task management and productivity system. Built with FastMCP and deployed on Smithery for hosted, zero-installation access.
β¨ What's New in v2.0 (Smithery)
Complete migration to Smithery for hosted deployment:
π Hosted Infrastructure: No local installation, Python, or dependencies required
π Secure Configuration: API tokens managed through Smithery's session config
π Usage Monitoring: Track server usage and performance
π Auto-deployment: Push to GitHub β Automatic deployment
π Auto-scaling: Handle multiple concurrent users
πͺ Same Power: All 10 tools with identical functionality
Technical improvements:
FastMCP framework with
@smithery.server()decoratorPydantic V2 validation with session config schemas
Context-aware API authentication
Dual response formats (Markdown/JSON)
Enhanced error handling with actionable guidance
Quick Start
For Users
Get your Amazing Marvin API token
Visit https://app.amazingmarvin.com/pre?api=
Copy your
API_TOKEN
Connect via Smithery
Visit: https://smithery.ai/server/amazing-marvin-mcp
Click "Connect"
Paste your API token when prompted
Use in Claude Desktop or other MCP clients
Start using
"Show me my tasks for today" "Create a task to review Q4 budget tomorrow" "What categories do I have?"
For Developers
See SMITHERY_DEPLOYMENT.md for deployment guide.
Local testing:
uv venv
uv pip install -r requirements.txt
uv run playgroundFeatures
This MCP server provides 10 powerful tools for Amazing Marvin:
π Task Management
marvin_add_task - Create tasks with full support for scheduling, labels, time estimates, and Amazing Marvin shortcuts
marvin_get_todays_tasks - View all tasks scheduled for today or a specific date
marvin_mark_done - Mark tasks as complete (idempotent)
marvin_get_due_tasks - See all tasks due today or overdue with smart overdue indicators
ποΈ Organization
marvin_get_categories - List all your projects and categories with IDs
marvin_get_labels - View all available labels with IDs
marvin_get_children - Browse tasks within a specific project, category, or unassigned area
β±οΈ Time Tracking
marvin_start_tracking - Start time tracking on a task
marvin_stop_tracking - Stop the currently running timer
π¨ Response Formats
All list operations support two output formats:
Markdown (default): Human-readable with headers, emojis, and formatting
JSON: Structured data for programmatic processing
Usage Examples
Creating Tasks
"Create a task called 'Review Q4 budget' due tomorrow with a 2-hour time estimate"
"Add a task 'Call dentist' with 15 minute estimate and schedule it for Friday"
"Create a task 'Finish presentation slides #Work @urgent ~120 +2024-03-20'"Amazing Marvin shortcuts in task titles:
#ProjectName- Assign to project@label- Add a label~60- Time estimate (60 minutes)+2024-03-15- Set due date^1- Set priority
Viewing Tasks
"Show me my tasks for today"
"What tasks are due today or overdue?"
"List all tasks in my Personal category"
"Show me tasks for March 15, 2024 in JSON format"Managing Tasks
"Mark task task_abc123xyz as complete"
"Start tracking time on task task_abc123xyz"
"Stop the timer"Organizing
"Show me all my categories and projects"
"What labels do I have?"
"List all unassigned tasks"Technical Details
Architecture
Smithery Deployment:
Python 3.12+ runtime
FastMCP framework with
@smithery.server()decoratorContext-aware authentication via
ctx.session_configHTTP/SSE transport (not STDIO)
Configuration:
class AmazingMarvinConfig(BaseModel):
api_token: str = Field(
...,
description="Your Amazing Marvin API token. Get it from: https://app.amazingmarvin.com/pre?api=",
min_length=10
)Package Structure:
src/amazing_marvin_mcp/
βββ __init__.py # Package initialization
βββ server.py # Main server with toolsKey Features
Pydantic V2 Validation: Robust input validation with detailed constraints
Agent-Centric Design: Tools optimized for AI workflows, not just API wrappers
Dual Response Formats: Markdown (human-readable) and JSON (machine-readable)
Character Limits: Intelligent handling of large responses (25,000 char limit)
Tool Annotations: Proper hints for read-only, destructive, and idempotent operations
Comprehensive Docstrings: Detailed documentation with examples for every tool
Error Handling
The server provides actionable error messages:
401 Unauthorized: Guides to check API token configuration
404 Not Found: Suggests verifying IDs and item existence
429 Rate Limit: Advises waiting before retry
500 Server Error: Indicates Amazing Marvin service issues
All errors include specific next steps for resolution.
Development
Local Setup
# Clone repository
git clone https://github.com/LucaDeLeo/amazing-marvin-mcp.git
cd amazing-marvin-mcp
# Create virtual environment
uv venv
# Install dependencies
uv pip install -r requirements.txtTesting
# Use Smithery playground (ngrok port-forwarding)
uv run playground
# Or run in development mode
uv run devBuilding Package
# Build distribution
python -m build
# Verify build
ls dist/
# Should show: amazing_marvin_mcp-2.0.0-py3-none-any.whl and .tar.gzDeployment
See SMITHERY_DEPLOYMENT.md for complete deployment guide.
Quick deploy:
Push to GitHub:
git push origin mainGo to https://smithery.ai/new
Connect repository
Click "Deploy"
API Reference
This server uses Amazing Marvin's Limited Access API:
API Documentation: https://github.com/amazingmarvin/MarvinAPI/wiki
Help Center: https://help.amazingmarvin.com/
API Base URL:
https://serv.amazingmarvin.com/api
Endpoints used:
GET /api/categories - List all categories/projects
GET /api/labels - List all labels
GET /api/children - Get items in category
GET /api/todayItems - Get scheduled tasks
GET /api/dueItems - Get due/overdue tasks
POST /api/addTask - Create task
POST /api/markDone - Complete task
POST /api/track - Start/stop timerSecurity Notes
API Tokens: Stored encrypted in Smithery's session config, never in code
HTTPS Only: All communication over TLS 1.2+
Input Validation: Pydantic models prevent injection attacks
Limited Access API: Additional security layer vs Full Access
Contributing
Potential future enhancements:
Document update/delete operations (
/api/doc/update,/api/doc/delete)Project creation tool (
/api/addProject)Goals integration (
/api/goals)Habit tracking (
/api/habits,/api/updateHabit)Reminders management (
/api/reminder/set)Time blocks viewing (
/api/todayTimeBlocks)Tracked item status (
/api/trackedItem)Reward points system
When adding features, follow the same patterns: Pydantic model β @mcp.tool decorator β ctx: Context parameter β shared utilities β comprehensive docstring.
Support
Server Issues:
GitHub Issues: https://github.com/LucaDeLeo/amazing-marvin-mcp/issues
Smithery Platform:
Email: support@smithery.ai
Discord: https://discord.gg/Afd38S5p9A
Amazing Marvin API:
Email: support@amazingmarvin.com
License
MIT License - See LICENSE file
Acknowledgments
Built with FastMCP
Deployed on Smithery
Powered by Amazing Marvin
Version: 2.0.0 (Smithery Deployment) Repository: https://github.com/LucaDeLeo/amazing-marvin-mcp Smithery: https://smithery.ai/server/amazing-marvin-mcp