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HezziCode
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mcp-server-tools

Build MCP servers with FastMCP and schema-validated tool APIs.

1|Updated Dec 9, 2025
Search Tags:#database#mcp#fastmcp#tool-server#schema-validation#ai-tools#lifespans
One-click install
npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill mcp-server-tools
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server-tools
Source: https://github.com/HezziCode/spec-driven-devlopment-hackathone/tree/main/phase-2-fullstack-todo/.claude/skills/mcp-server-tools
Command: npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill mcp-server-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide AI agents with access to tool APIs via MCP servers using FastMCP with schema validation and optional database integration.

Core Features & Use Cases

  • Basic MCP Server with Tools: create MCP servers that expose tools to agents with typed input/output using FastMCP.
  • Tool Lifecycle & Database Integration: support tool definitions, optional database lifespans, and transport layers for scalable agent workflows.
  • Use Case: Build an AI assistant that can query and update a task database through defined MCP tools without exposing raw DB access.

Quick Start

Start a FastMCP-based server, register tools with decorators, and run the server with a suitable transport.

Frequently Asked Questions about mcp-server-tools

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

FAQPage Schema
How do I expose tool APIs to AI agents using MCP servers?▼

You can expose tool APIs to AI agents by building an MCP server with FastMCP, defining typed tool schemas, and configuring a transport layer for agent communication. This provides structured, validated tool access without exposing raw underlying systems.

How does FastMCP handle schema validation for tool servers?▼

FastMCP enforces schema validation by requiring typed inputs and outputs for registered tools. This ensures safe, robust tool access by validating data structures before execution and applying structured error handling for invalid payloads.

Can I integrate a database with an MCP tool server for scalable agent workflows?▼

Yes, you can integrate a database with an MCP tool server using lifespan management. This allows AI agents to query and update a task database through defined MCP tools without exposing raw database access directly.

What is the best way to manage resource lifespans in FastMCP tool servers?▼

Managing resource lifespans in FastMCP involves configuring optional database lifespans during server startup and teardown. This ensures scalable agent workflows maintain persistent connections safely and release resources cleanly when the server stops.

Do I need raw database access to let AI agents update a task database?▼

No, you do not need raw database access for AI agents. By defining MCP tools with schema validation on a FastMCP server, agents can securely query and update the task database through controlled API endpoints.

Why does my MCP tool server need structured error handling?▼

Structured error handling is needed in an MCP tool server to ensure safe, robust tool access. It catches schema validation failures and lifespan management issues, preventing unpredictable agent behavior during scalable workflow execution.

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