fastmcp-server

FastMCP 3.0 Server Development

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "fastmcp-server" with this command: npx skills add davila7/claude-code-templates/davila7-claude-code-templates-fastmcp-server

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

senior-data-scientist

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

senior-backend

No summary provided by upstream source.

Repository SourceNeeds Review
-1.2K
davila7
Coding

senior-frontend

No summary provided by upstream source.

Repository SourceNeeds Review