generate-mcp-server

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

Updated Feb 23, 2026

Search Tags:#typescript #openapi #mcp #api integration #ai tools #speakeasy

Ready to run

npx skills add https://github.com/berea-ch/bereach-sdk-ts --skill generate-mcp-server-berea-ch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: generate-mcp-server
Source: https://github.com/berea-ch/bereach-sdk-ts/tree/main/.agents/skills/generate-mcp-server
Command: npx skills add https://github.com/berea-ch/bereach-sdk-ts --skill generate-mcp-server-berea-ch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of Model Context Protocol (MCP) servers, enabling AI assistants to directly interact with your API.

Core Features & Use Cases

API to AI Integration: Transforms your OpenAPI specification into an MCP server that AI models can use as tools.
Streamlined Development: Simplifies the process of making APIs accessible to AI assistants like Claude.
Use Case: You have a REST API defined by an OpenAPI spec and want to allow an AI assistant to manage user accounts. This Skill generates the necessary MCP server and tools for the AI to call your API's user management endpoints.

Quick Start

Generate an MCP server for your OpenAPI spec located at './openapi.yaml' with the package name 'my-api-mcp'.

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, use the Speakeasy CLI to transform your specification into a server that exposes API operations as callable tools for AI assistants.

How does Model Context Protocol integration work with REST APIs?▼

Model Context Protocol integration works by transforming your REST API endpoints defined in an OpenAPI specification into callable tools that AI assistants can directly invoke to interact with your API.

Can I configure authentication and scopes when creating an MCP server for AI tools?▼

Yes, you can configure authentication, scopes, and transports for deployment when generating an MCP server from an OpenAPI spec to ensure secure API integration for AI assistants.

What's the best way to make my API accessible to Claude using OpenAPI?▼

The best way to make your API accessible to Claude is by generating an MCP server from your OpenAPI spec, which streamlines development by exposing your API operations as tools the AI assistant can call.

Do I need TypeScript to create an MCP server from my OpenAPI specification?▼

TypeScript is supported when generating an MCP server from your OpenAPI specification using the Speakeasy CLI, facilitating the creation of AI tools and API integrations for assistants.

When do I need an MCP server for my API operations?▼

You need an MCP server for your API operations when you want to automate AI assistant integration, allowing models like Claude to directly manage user accounts or call specific REST API endpoints.