mcp-server

Configure a stateless MCP server with FastAPI and SQLModel for per-user task management.

Updated Jan 2, 2026
One-click install
npx skills add https://github.com/omerspac/advanced-to-do-app --skill mcp-server-omerspac
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/omerspac/advanced-to-do-app/tree/main/Phase-3/.claude/skills/mcp-server
Command: npx skills add https://github.com/omerspac/advanced-to-do-app --skill mcp-server-omerspac

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables engineers to rapidly configure a stateless MCP server in FastAPI that exposes five task management tools (add_task, list_tasks, complete_task, delete_task, update_task) with proper user isolation and SQLModel-backed persistence, reducing integration boilerplate.

Core Features & Use Cases

  • Stateless Design: Each request is independent, enabling scalable, cache-friendly operations.
  • User Isolation: All tools enforce owner checks via user_id at query time.
  • Tool Chaining & Async: Tools support chaining and full async execution for responsive flows.
  • Database Integration: SQLModel-backed data persistence with robust error handling.
  • Use Case: Integrate with chatbots to manage per-user tasks across sessions and environments.

Quick Start

Run the MCP startup script to launch the FastAPI server and register all five task tools.

Frequently Asked Questions about mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a stateless MCP server using FastAPI?

Deploy a stateless MCP server using FastAPI by running the startup script to launch the server and register five task management tools. This configures independent, cache-friendly requests backed by SQLModel for data persistence.

How does user isolation work in an MCP server for task management?

User isolation in an MCP server for task management is enforced via owner checks using user_id at query time. This ensures all tools securely manage per-user tasks without cross-user data leakage.

Can I use SQLModel for database persistence in a stateless FastAPI server?

Yes, you can use SQLModel for database persistence in a stateless FastAPI server. It provides robust data storage and structured error handling for task management tools, supporting scalable operations.

What is the best way to manage per-user tasks across chatbot sessions?

The best way to manage per-user tasks across chatbot sessions is a stateless MCP server with FastAPI. It supports full async execution, tool chaining, and strict user isolation for responsive multi-tool workflows.

Does the MCP server support asynchronous tool execution and chaining?

Yes, the MCP server supports asynchronous tool execution and chaining. This enables responsive flows in multi-tool workflows, allowing the five task management tools to operate efficiently without blocking operations.

What task management operations are available in a FastAPI MCP server?

Task management operations in a FastAPI MCP server include add_task, list_tasks, complete_task, delete_task, and update_task. These five tools handle structured error handling with 400-500 status codes for robust deployments.