LifeTracker MCP Server
Click on "Deploy 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., "@LifeTracker MCP Serverlog a 30-minute run"
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.
LifeTracker MCP Server
MCP server for LifeTracker DynamoDB integration.
Files
main.py- FastMCP server with activity logging toolsfastmcp.json- Deployment configurationGSI_SETUP.md- Guide for creating DynamoDB Global Secondary Index
Related MCP server: Amplify Data API MCP Server
Prerequisites
Required DynamoDB GSI
For optimal performance and consistency, create a Global Secondary Index on user_name:
Index configuration:
Index name:
user_name-indexPartition key:
user_name(String)Projection: ALL
See GSI_SETUP.md for detailed setup instructions.
Note: The server will work without the GSI but will fall back to slower Scan operations with ConsistentRead=True.
Local Development
uv run mcp dev main.pyDeployment Issue
⚠️ Current Issue: FastMCP cloud is throwing "Already running asyncio in this thread" errors.
This appears to be a compatibility issue between:
FastMCP HTTP transport
The cloud platform's event loop management
Attempted Fixes
✅ Removed mcp.run()
✅ Lazy DynamoDB initialization
✅ Removed Enum types
✅ Set both AWS_REGION and AWS_DEFAULT_REGION
✅ Created alternative server.py with base MCP Server
Recommended Solutions
Contact FastMCP Support - This error comes from their platform (cli.py:533)
Try Different Platform - Deploy to:
AWS Lambda with API Gateway
Google Cloud Run
Docker container on any host
Use Local/Claude Desktop - Works perfectly with stdio transport
Environment Variables
Required:
AWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAWS_DEFAULT_REGION(use this, not just AWS_REGION)TABLE_PREFIX(optional)
Tools
create_activity_log- Log activitiesget_activity_logs- Fetch activity history
This server cannot be deployed
Maintenance
Related MCP Connectors
Durable background job execution, async task scheduling, and state persistence for AI agents.
Document hosting and encrypted agent memory with multi-tenant persistence.
Immutable event logging and audit trail for agent transactions
Durable, revision-pinned memory storage and retrieval for AI conversations.
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