Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Fastmcp Server Builder

    1

    Scaffold, test, and ship MCP servers in Python with FastMCP. Use when wrapping an API, database, or file workflow as Model Context Protocol tools, or when a new

    Free

    2 installsSecurity scanned
    Fastmcp Server Builder

    Fastmcp Server Builder

    Example session with this skill installed

    Create a FastMCP server in Python that wraps a weather API. It needs one tool to get the current temperature for a city and must be validated using the CLI.

    • Read your context and instructions
    • Compiled the fastmcp server builder

    I've scaffolded weather_server.py using FastMCP. It includes the get_weather tool with proper type hints and docstrings. You can validate it by running fastmcp run weather_server.py and calling fastmcp call get_weather --param city=London in your terminal.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Building MCP servers manually often leads to schema mismatches, broken tool discovery, and tedious debugging cycles between the server and the LLM client. Hand-writing boilerplate for stdio communication and resource templates is prone to error and slows down API-to-tool integration.

    What it does

    • Scaffolds Python-based MCP servers using the FastMCP framework for high-value API, database, or file wrappers.
    • Defines decorated tool functions with typed parameters and JSON-safe returns that auto-generate schemas.
    • Configures MCP resources and prompt templates for reusable data access and instruction sets.
    • Provides a local validation workflow using FastMCP CLI to call and inspect tools without needing a live LLM client.
    • Exports servers for deployment via stdio or HTTP transports to clients like Claude Desktop or Cursor.

    Frameworks & tools

    Python, FastMCP SDK, HTTPX, and FastMCP CLI.

    Why this beats prompting it yourself

    General-purpose LLMs often hallucinate MCP schemas or use outdated stdio patterns. This skill enforces the specific FastMCP v2+ decorative patterns, ensures docstrings are optimized for agentic discovery, and mandates local CLI validation to catch errors before deployment.

    Use cases

    • Expose a private REST API as a set of callable tools for Claude Desktop.
    • Wrap a SQLite database schema into read-only MCP resources for data analysis.
    • Build a document triage pipeline with reusable prompt templates and file system access.
    • Smoke-test tool definitions locally using stdio mocks before production rollout.

    Known limitations

    Requires Python environment with FastMCP 2.0+ and HTTPX installed. It does not handle client-side connection logic for existing servers.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    2 installs

    Downloaded by developers to date

    Free forever

    No account required to browse

    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Free to download with an account

    Listed1 month ago
    Updated21 days ago

    What's inside

    Frequently Asked Questions