generate-mcp-server

Generate an MCP server from an OpenAPI specification using the Speakeasy workflow.

1.8k|375|Updated Jan 15, 2025
One-click install
npx skills add https://github.com/trycompai/comp --skill generate-mcp-server-trycompai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: generate-mcp-server
Source: https://github.com/trycompai/comp/tree/main/.agents/skills/generate-mcp-server
Command: npx skills add https://github.com/trycompai/comp --skill generate-mcp-server-trycompai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform API specifications into usable AI-ready tooling by generating an MCP server from an OpenAPI spec, enabling AI assistants to invoke API operations as tools.

Core Features & Use Cases

  • Generate an MCP server from an OpenAPI spec
  • Expose API operations as tools for AI assistants like Claude
  • Support Docker deployment and the mcp-typescript workflow for easy integration

Quick Start

Provide the OpenAPI spec and package name, configure the workflow as shown, then run the Speakeasy generator to build and start the MCP server.

Frequently Asked Questions about generate-mcp-server

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

FAQPage Schema
How do I generate an MCP server from an OpenAPI spec?

To generate an MCP server from an OpenAPI spec, provide the OpenAPI document and package name, configure the Speakeasy workflow, and run the generator to build and start the server.

What is an MCP server used for in AI-assisted tool invocation?

An MCP server exposes API operations as tools for AI assistants, enabling AI agents like Claude to directly invoke API operations during testing, prototyping, and deployment scenarios.

Does the Speakeasy MCP workflow support Docker deployment?

Yes, the Speakeasy MCP workflow supports Docker deployment and the mcp-typescript target, allowing you to easily build, configure, and start the generated MCP server for AI integration.

Can I use overlays to manage scopes when generating an MCP server?

Yes, you can use overlays to manage scopes when generating an MCP server, extending the mcp-typescript workflow to customize API operations exposed as tools for AI assistants.

Why expose API operations as tools for AI assistants?

Exposing API operations as tools for AI assistants transforms static API specifications into usable AI-ready tooling, allowing agents to autonomously invoke operations across testing, prototyping, and deployment scenarios.