OpenAPI Swagger
Solve AI context window limits for API docs | Convert any Swagger/OpenAPI to searchable MCP server | AI-powered endpoint discovery & code generation | Works with Cursor, Claude, VS Code
What is OpenAPI Swagger?
OpenAPI Swagger is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to solve ai context window limits for api docs | convert any swagger/openapi to searchable mcp server | ai-powered endpoint discovery & code generation | works with cursor, claude, vs code
Solve AI context window limits for API docs | Convert any Swagger/OpenAPI to searchable MCP server | AI-powered endpoint discovery & code generation | Works with Cursor, Claude, VS Code
This server falls under the APIs and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Solve AI context window limits for API docs | Convert any Sw
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx openapi-mcp-swaggerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use OpenAPI Swagger
OpenAPI MCP Swagger (swagger-mcp-server) converts any Swagger or OpenAPI JSON specification into a searchable MCP server that AI assistants can query on demand, solving the problem of massive API docs exceeding AI context windows. Instead of pasting huge JSON specs into chat, your AI client calls the MCP server to search endpoints by natural language, retrieve full schema details, and generate working client code — all without hitting context limits. It works with Claude, Cursor, and VS Code Copilot, and supports offline use with local Swagger files as large as 10 MB or more.
Prerequisites
- Python 3.11 or later
- pip for dependency installation
- A Swagger/OpenAPI JSON file for the API you want to work with
- An MCP-compatible client such as Claude Desktop or Cursor
Clone the repository
Clone the openapi-mcp-swagger repository from GitHub and change into the project directory.
git clone https://github.com/salacoste/openapi-mcp-swagger.git
cd openapi-mcp-swaggerInstall Python dependencies
Install all required packages listed in requirements.txt into your Python environment.
pip install -r requirements.txtObtain your Swagger/OpenAPI JSON file
Download the API specification you want to work with. Many APIs expose it at common paths. Save it into the swagger-openapi-data directory inside the project.
curl -o swagger-openapi-data/your-api.json "https://api.example.com/swagger.json"Convert the Swagger file to an MCP server
Run the convert command to transform your OpenAPI spec into an MCP-ready server directory. Use a meaningful name so you can identify it later.
python -m swagger_mcp_server convert swagger-openapi-data/your-api.json --name your-apiStart the MCP server
Change into the generated server directory and start serving. By default it listens on port 8080.
cd mcp-server-your-api
python -m swagger_mcp_server serveAdd the server to your MCP client config
Register the running MCP server with Claude Desktop or Cursor so the AI can call it during conversations.
{
"mcpServers": {
"openapi-swagger": {
"command": "python",
"args": ["-m", "swagger_mcp_server", "serve"],
"cwd": "/path/to/mcp-server-your-api"
}
}
}OpenAPI Swagger Examples
Client configuration
Claude Desktop configuration for openapi-mcp-swagger running as a local Python process.
{
"mcpServers": {
"openapi-swagger": {
"command": "python",
"args": ["-m", "swagger_mcp_server", "serve"],
"cwd": "/Users/yourname/openapi-mcp-swagger/mcp-server-your-api"
}
}
}Prompts to try
Example prompts to use once your API spec is loaded into the MCP server.
- "Search for all endpoints related to user authentication in the API"
- "Show me the full request schema for POST /users including all required fields"
- "Generate a TypeScript client function to call GET /orders/{id} with error handling"
- "List all endpoints that return paginated results"
- "What are the available response codes for the payment endpoints?"Troubleshooting OpenAPI Swagger
Context window exceeded error when trying to load a large Swagger file directly
Do not paste the Swagger JSON into the chat. Convert it first with the convert command, then start the MCP server. The AI queries only the relevant endpoint information on demand.
Server fails to start with import errors after pip install
Make sure you are running Python 3.11 or later and that you installed dependencies inside the project directory with pip install -r requirements.txt. Consider using a virtual environment to avoid package conflicts.
Endpoint search returns no results for known API paths
Verify the Swagger JSON is valid OpenAPI 2.0 or 3.x format. Try opening the file in a browser or running it through an online validator. Some APIs export non-standard Swagger that may need minor cleanup before conversion.
Frequently Asked Questions about OpenAPI Swagger
What is OpenAPI Swagger?
OpenAPI Swagger is a Model Context Protocol (MCP) server that solve ai context window limits for api docs | convert any swagger/openapi to searchable mcp server | ai-powered endpoint discovery & code generation | works with cursor, claude, vs code It connects AI assistants to external tools and data sources through a standardized interface.
How do I install OpenAPI Swagger?
Follow the installation instructions on the OpenAPI Swagger GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with OpenAPI Swagger?
OpenAPI Swagger works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is OpenAPI Swagger free to use?
Yes, OpenAPI Swagger is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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