FastMCP Boilerplate

FastMCP Boilerplate is a ready‑to‑use foundation for building and publishing an MCP (Model Context Protocol) server. It addresses the common pain points that arise when developers start from scratch—setting up tooling, ensuring code quality, and establishing a repeatable release process. By providing a curated set of scripts, linting rules, formatting tools, and CI workflows, the boilerplate lets teams focus on crafting custom tools rather than wrestling with infrastructure.

The server itself is a lightweight FastAPI‑powered application that implements the core MCP contract. It exposes a minimal set of endpoints for registering tools, resources, and prompts, as well as handling sampling requests from AI assistants. The boilerplate includes a sample “add” tool that demonstrates how to define input schemas, perform validation, and return structured results. Because the code is written in TypeScript, developers benefit from static typing while still enjoying JavaScript’s flexibility. The built‑in tests cover the tool implementation, giving confidence that new features will not break existing functionality.

Key capabilities of FastMCP Boilerplate include:

• Modular tool registration – Developers can add new tools by simply creating a TypeScript module that conforms to the expected interface.
• Automated linting and formatting – ESLint, Prettier, and TypeScript‑ESLint enforce consistent code style across the project.
• Continuous integration – GitHub Actions runs lint, format, and test jobs on every push and automatically publishes new releases to npm via semantic‑release when version tags are pushed.
• CLI interaction – The script starts the server in development mode, allowing instant feedback through a command‑line interface.

Typical use cases for this boilerplate are:

• Rapid prototyping of MCP servers that integrate with internal APIs or databases.
• Educational projects where students learn how to expose custom functionality to AI assistants without setting up a full CI/CD pipeline.
• Micro‑service architectures where each service implements its own MCP server and is versioned independently on npm.

Integrating FastMCP Boilerplate into an AI workflow is straightforward. Once the server is running, a Claude or other MCP‑compatible assistant can discover its tools via the endpoint and invoke them during conversation. Because the server follows the standard MCP schema, any client that understands MCP can seamlessly interact with it, enabling powerful, context‑aware automation across multiple domains.