OpenAPI Client Generator MCP
Generates API clients based on OpenAPI specifications using Axios as the HTTP client for making API requests
Uses OpenAPI/Swagger specifications to generate TypeScript API clients for interacting with REST APIs
Generates strongly-typed API clients in TypeScript for improved type safety when interacting with APIs
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OpenAPI Client Generator MCP generate a client from this OpenAPI spec URL for my weather API"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
openapi-client-generator MCP Server
A Model Context Protocol server to generate API clients by using TypeScript.
Features
Resources
Generates an axios based API client that can be used to interact with the API.
It uses OpenAPI / Swagger specs to generate the client.
Prompts
generate_client- Generate a API client for specified OpenAPI specs.
Related MCP server: Emcee
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"openapi-client-generator": {
"command": "node",
"args": [
"< PATH TO >/openapi-client-generator/build/index.js"
]
}
}
}Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Contributing
Feel free to contribute to the project by opening issues or submitting pull requests. We welcome any improvements or new features that align with the project's goals.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Built with Cline
Available Tools
1 toolgenerate_clientB
Generate TypeScript API client from OpenAPI specification
Inputs: input (required), output (required), httpClient (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion. The tool has a clear and singular purpose.
The single tool uses a clear verb_noun pattern ('generate_client'), which is consistent and descriptive.
A single tool feels thin for an OpenAPI client generator. While it may suffice for a minimal use case, most users would expect additional capabilities like validation or endpoint listing.
The tool only generates a client from a specification. Obvious gaps include validating the spec, listing endpoints, or configuring output options, which limits its usefulness.
Related MCP Connectors
Generate a typed SDK, CLI, and MCP server from any OpenAPI or GraphQL spec, and keep them current.
MCP server for AI access to Swagger by SmartBear.
MCP server for generating rough-draft project plans from natural-language prompts.
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that exposes HTTP methods defined in an OpenAPI specification as tools, enabling interaction with APIs via the Model Context Protocol.8MIT
- AlicenseNot gradedqualityBmaintenanceGenerate an MCP server for any OpenAPI documented endpoint.334MIT
- FlicenseNot gradedqualityDmaintenanceAn auto-generated MCP server that enables interaction with the OpenAI API, allowing users to access OpenAI's models and capabilities through the Multi-Agent Conversation Protocol.-
- AlicenseNot gradedqualityDmaintenanceA service that converts OpenAPI specifications into MCP tools, enabling AI assistants to interact with your API endpoints through natural language.MIT