MCP Servers

Apitomy Data Models MCP

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

README

Apitomy Data Models MCP

An MCP (Model Context Protocol) server that wraps the @apitomy/data-models library, making it easy for AI coding agents to query, validate, and edit OpenAPI and AsyncAPI documents.

Supported Specifications

OpenAPI 2.0 (Swagger)
OpenAPI 3.0.x
OpenAPI 3.1.x
AsyncAPI 2.x
AsyncAPI 3.x

Quick Start

Install from npm

npm install -g @apitomy/data-models-mcp

Configure in Claude Code

The easiest way is to use the claude mcp add command:

claude mcp add apitomy-data-models apitomy-data-models-mcp

Tool Catalog

The server provides 102 tools across 5 categories: session management (7), document querying (16), document editing (76), validation (1), and transformation (2).

See the full tools reference for detailed documentation on every tool and its parameters.

MCP Resources

URI Pattern	Description
`api://{session}/info`	Document metadata
`api://{session}/paths`	List of paths/channels
`api://{session}/schemas`	List of schema definitions

Usage Examples

Load and inspect an existing API

> Load /path/to/petstore.yaml into session "petstore"
> What paths does the petstore API have?
> Show me the GET /pets operation
> Validate the document

Create a new API from scratch

> Create a new OpenAPI 3.0 document called "widgets"
> Set the title to "Widget API" and version to "1.0.0"
> Add a path /widgets with GET and POST operations
> Add a Widget schema with id, name, and color properties
> Save it to ./widget-api.yaml as YAML

Transform a Swagger document

> Load my swagger.json as "legacy"
> Transform it to OpenAPI 3.0
> Validate the transformed document
> Save it to openapi3.json

Development

npm install          # Install dependencies
npm run build        # Compile TypeScript
npm test             # Run tests
npm run test:watch   # Run tests in watch mode
npm run lint         # Run linter

Contributing

See CONTRIBUTING.md for guidelines on how to contribute to this project.

License

This project is licensed under the Apache License 2.0.

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured