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FastMCP Server Development

Free

Build production-ready MCP servers with FastMCP 3.0.

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Free · Opens the source repo

What FastMCP Server Development does

FastMCP Server Development provides a comprehensive guide for building Model Context Protocol (MCP) servers using the FastMCP 3.0 framework. This Python-based framework is designed to facilitate the integration of large language models (LLMs) with various tools and data sources. By leveraging FastMCP, developers can create robust servers that support a wide array of functionalities, from authentication and authorization to middleware and telemetry.

The skill is particularly useful for developers looking to implement new MCP servers or enhance existing ones with additional tools and resources. FastMCP supports various authentication methods, including OAuth and OpenID Connect, ensuring secure access to server resources. It also offers advanced features like dependency injection, background tasks, and context management, enabling developers to build complex applications with ease.

In addition to its core functionalities, FastMCP provides extensive documentation and examples to help users get started quickly. Whether you are creating a simple tool or a full-fledged server, the skill covers essential concepts such as defining tools, resources, and templates, as well as managing server lifecycles and logging. The references included in the package serve as a valuable resource for understanding the framework's capabilities and best practices.

FastMCP Server Development is ideal for Python developers and designers who are looking to create or upgrade MCP servers. Its focus on ease of use and comprehensive coverage makes it a practical choice for anyone working with AI models and external integrations.

When to use it

Use this skill when starting a new MCP server project or enhancing an existing one with advanced features and integrations.

When not to use it

This skill may not be suitable for developers not working with Python or those who do not require the specific capabilities of FastMCP.

What you can build with it

Creating a New MCP Server

Developers can use FastMCP to quickly set up a new MCP server in Python, leveraging built-in tools and resources.

Implementing Authentication

Integrate secure authentication methods like OAuth or OIDC into your MCP server to manage access to resources.

Upgrading from FastMCP 2.x

Use the provided upgrade guide to transition your existing FastMCP 2.x applications to the new features and improvements in 3.0.

How to install FastMCP Server Development

View source

1. Install with the skills CLI

npx skills add davila7/claude-code-templates/fastmcp-server --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by davila7

FastMCP 3.0 Server Development

Complete reference for building production-ready MCP (Model Context Protocol) servers with FastMCP 3.0 - the fast, Pythonic framework for connecting LLMs to tools and data.

When to use this skill

Use FastMCP Server when:

  • Creating a new MCP server in Python
  • Adding tools, resources, or prompts to an MCP server
  • Implementing authentication (OAuth, OIDC, token verification)
  • Setting up middleware for logging, rate limiting, or authorization
  • Configuring providers (local, filesystem, skills, custom)
  • Building production MCP servers with telemetry and storage
  • Upgrading from FastMCP 2.x to 3.0

Key areas covered:

  • Tools & Resources (CORE): Decorators, validation, return types, templates
  • Context & DI (CORE): MCP context, dependency injection, background tasks
  • Authentication (SECURITY): OAuth, OIDC, token verification, proxy patterns
  • Authorization (SECURITY): Scope-based and role-based access control
  • Middleware (ADVANCED): Request/response pipeline, built-in middleware
  • Providers (ADVANCED): Local, filesystem, skills, and custom providers
  • Features (ADVANCED): Pagination, sampling, storage, OpenTelemetry, versioning

Quick reference

Core patterns

Create a server with tools:

from fastmcp import FastMCP

mcp = FastMCP("MyServer")

@mcp.tool
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b

Create a resource:

@mcp.resource("data://config")
def get_config() -> dict:
    """Return server configuration"""
    return {"version": "1.0", "debug": False}

Create a resource template:

@mcp.resource("users://{user_id}/profile")
def get_user_profile(user_id: str) -> dict:
    """Get a user's profile by ID"""
    return fetch_user(user_id)

Create a prompt:

@mcp.prompt
def review_code(code: str, language: str = "python") -> str:
    """Review code for best practices"""
    return f"Review this {language} code:\n\n{code}"

Run the server:

if __name__ == "__main__":
    mcp.run()

# Or with transport options:
# mcp.run(transport="sse", host="0.0.0.0", port=8000)

Using context in tools

from fastmcp import FastMCP, Context

mcp = FastMCP("MyServer")

@mcp.tool
def process_data(uri: str, ctx: Context) -> str:
    """Process data with logging and progress"""
    ctx.info(f"Processing {uri}")
    ctx.report_progress(0, 100)
    data = ctx.read_resource(uri)
    ctx.report_progress(100, 100)
    return f"Processed: {data}"

Authentication setup

from fastmcp import FastMCP
from fastmcp.server.auth import BearerAuthProvider

auth = BearerAuthProvider(
    jwks_uri="https://your-provider/.well-known/jwks.json",
    audience="your-api",
    issuer="https://your-provider/"
)

mcp = FastMCP("SecureServer", auth=auth)

Key concepts

Tools

Functions exposed as executable capabilities for LLMs. Decorated with @mcp.tool. Support Pydantic validation, async, custom return types, and annotations (readOnlyHint, destructiveHint).

Resources & Templates

Static or dynamic data sources identified by URIs. Resources use fixed URIs (data://config), templates use parameterized URIs (users://{id}/profile). Support MIME types, annotations, and wildcard parameters.

Context

The Context object provides access to MCP features within tools/resources: logging, progress reporting, resource access, LLM sampling, user elicitation, and session state.

Dependency Injection

Inject values into tool/resource functions using Depends(). Supports HTTP requests, access tokens, custom dependencies, and generator-based cleanup patterns.

Providers

Control where components come from. LocalProvider (default, decorator-based), FileSystemProvider (load from Python files on disk), SkillsProvider (packaged bundles), or custom providers.

Authentication & Authorization

Multiple auth patterns: token verification (JWT, JWKS), OAuth proxy, OIDC proxy, remote OAuth, and full OAuth server. Authorization via scopes on components and middleware.

Middleware

Intercept and modify requests/responses. Built-in middleware for rate limiting, error handling, logging, and response size limits. Custom middleware via @mcp.middleware.

Using the references

Detailed documentation is organized in the references/ folder:

Getting Started

  • getting-started/installation.md - Install FastMCP, optional dependencies, verify setup
  • getting-started/upgrade-guide.md - Migrate from FastMCP 2.x to 3.0
  • getting-started/quickstart.md - First server, tools, resources, prompts, running

Server

  • server/server-class.md - FastMCP server configuration, transport options, tag filtering
  • server/tools.md - Tool decorator, parameters, validation, return types, annotations
  • server/resources-and-templates.md - Resources, templates, URIs, wildcards, MIME types

Context

  • context/mcp-context.md - Context object, logging, progress, resource access, sampling
  • context/background-tasks.md - Long-running operations with task support
  • context/dependency-injection.md - Depends(), custom deps, HTTP request, access tokens
  • context/user-elicitation.md - Request structured input from users during execution

Features

  • features/icons.md - Custom icons for tools, resources, prompts, and servers
  • features/lifespans.md - Server lifecycle management and startup/shutdown hooks
  • features/client-logging.md - Send log messages to MCP clients
  • features/middleware.md - Request/response pipeline, built-in and custom middleware
  • features/pagination.md - Paginate large component lists
  • features/progress-reporting.md - Report progress for long-running operations
  • features/sampling.md - Request LLM completions from the client
  • features/storage-backends.md - Memory, file, and Redis storage for caching and tokens
  • features/opentelemetry.md - Distributed tracing and observability
  • features/versioning.md - Version components and filter by version ranges

Authentication

  • authentication/token-verification.md - JWT, JWKS, introspection, static keys, custom
  • authentication/remote-oauth.md - Delegate auth to upstream OAuth provider
  • authentication/oauth-proxy.md - Full OAuth proxy with PKCE, client management
  • authentication/oidc-proxy.md - OpenID Connect proxy with auto-discovery
  • authentication/full-oauth-server.md - Complete built-in OAuth server

Authorization

  • authorization.md - Scope-based access control, middleware authorization, patterns

Providers

  • providers/local.md - Default provider, decorator-based component registration
  • providers/filesystem.md - Load components from Python files on disk
  • providers/skills.md - Package and distribute component bundles
  • providers/custom.md - Build custom providers for any component source

Version history

v1.0.0 (February 2026)

  • Initial release covering FastMCP 3.0 (release candidate)
  • 30 reference files across 7 categories
  • Complete coverage of tools, resources, context, auth, providers, and features

Frequently asked questions about FastMCP Server Development

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