mcp-swagger

mcp-swagger

Exposes Swagger/OpenAPI API documentation to AI models, enabling exploration, search, and interaction with endpoints, schemas, and execution of API calls.

Category
Visit Server

README

@awssam/mcp-swagger

MCP (Model Context Protocol) server for exposing Swagger/OpenAPI documentation to AI models like Claude. This tool allows AI assistants to explore, understand, and interact with your API documentation seamlessly.

Features

  • 14 Powerful Tools for exploring API documentation
  • Automatic Caching for fast responses
  • OpenAPI 3.0 Support (Swagger 2.0 compatible)
  • Token-Optimized responses for efficient AI interactions
  • Search & Discovery with intelligent scoring
  • Path Validation with typo suggestions
  • Curl Generation with example payloads
  • Schema Analysis and reference tracking

Installation

npm install -g @awssam/mcp-swagger

Quick Start

Using with Claude Desktop

Add to your Claude Desktop configuration file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "swagger": {
      "command": "npx",
      "args": [
        "@awssam/mcp-swagger",
        "https://petstore.swagger.io/v2/swagger.json"
      ]
    }
  }
}

Using with Claude CLI (Claude Code)

Option 1: Using claude mcp add command (Recommended)

claude mcp add swagger npx @awssam/mcp-swagger https://petstore.swagger.io/v2/swagger.json

Option 2: Manual Configuration

Add to your Claude CLI configuration file:

Location: ~/.config/claude/config.yaml

mcpServers:
  swagger:
    command: npx
    args:
      - "@awssam/mcp-swagger"
      - "https://petstore.swagger.io/v2/swagger.json"

Or if installed globally:

mcpServers:
  swagger:
    command: mcp-swagger
    args:
      - "https://petstore.swagger.io/v2/swagger.json"

After adding the configuration, restart Claude CLI for the changes to take effect.

Using with Environment Variable

export API_URL=https://your-api.com/api-docs
npx @awssam/mcp-swagger

Using as CLI

npx @awssam/mcp-swagger https://your-api.com/api-docs

Available Tools

1. listEndpoints

Lists all available API endpoints with their HTTP methods and tags.

Parameters:

  • tag (optional): Filter by specific tag

Example:

{
  "tag": "users"
}

2. getEndpointDetails

Retrieves complete details of a specific endpoint including parameters, request body, responses, and schemas.

Parameters:

  • path (required): Endpoint path (e.g., /users/{id})
  • method (optional): HTTP method (get, post, put, delete, patch)

Example:

{
  "path": "/users/{id}",
  "method": "get"
}

3. searchEndpoints

Searches for endpoints by keyword in paths, descriptions, and tags. Results are sorted by relevance.

Parameters:

  • query (required): Search term

Example:

{
  "query": "authentication"
}

4. getSchemas

Retrieves data schemas (DTOs) defined in the API. Without parameters, lists all available schemas.

Parameters:

  • schemaName (optional): Specific schema name to retrieve

Example:

{
  "schemaName": "User"
}

5. listTags

Lists all tags used to categorize endpoints in the API.

6. getEndpointsByTag

Retrieves all endpoints associated with a specific tag.

Parameters:

  • tag (required): Tag name

Example:

{
  "tag": "authentication"
}

7. getApiInfo

Retrieves API metadata including title, version, description, servers, contact info, and license.

8. getSecuritySchemes

Lists authentication/authorization schemes available (OAuth2, API keys, Bearer tokens, etc.).

9. getServerUrls

Retrieves available server URLs and their environments (dev, staging, prod, etc.).

10. validateEndpointPath

Checks if an endpoint path exists. If not found, suggests similar paths to help with typos.

Parameters:

  • path (required): Endpoint path to validate

Example:

{
  "path": "/users/{id}"
}

11. getSchemaReferences

Finds all endpoints that use a specific schema. Useful for impact analysis when modifying schemas.

Parameters:

  • schemaName (required): Schema name to search for

Example:

{
  "schemaName": "User"
}

12. generateCurlExample

Generates a curl command example for a specific endpoint, including headers and sample request body.

Parameters:

  • path (required): Endpoint path
  • method (required): HTTP method

Example:

{
  "path": "/users",
  "method": "post"
}

13. getDeprecatedEndpoints

Lists all endpoints marked as deprecated. Useful for migration planning.

14. executeEndpoint

✨ NEW - Executes an API endpoint and returns the actual response. Automatically uses required headers from the Swagger spec. Perfect for testing endpoints and fetching real-time data.

Parameters:

  • path (required): Endpoint path (e.g., /users/{id})
  • method (required): HTTP method (get, post, put, delete, patch)
  • baseUrl (optional): Base server URL (uses Swagger default if not provided)
  • pathParams (optional): Path parameters object (e.g., {"id": "123"})
  • queryParams (optional): Query parameters object (e.g., {"page": 1, "perPage": 10})
  • headers (optional): Custom headers object (e.g., {"Authorization": "Bearer token"})
  • body (optional): Request body for POST/PUT/PATCH

Example:

{
  "path": "/admin/organizations",
  "method": "get",
  "baseUrl": "http://localhost:4000",
  "queryParams": {
    "page": 1,
    "perPage": 10
  },
  "headers": {
    "x-dev-code": "ILoveMom"
  }
}

Response includes:

  • success: Boolean indicating if request succeeded
  • status: HTTP status code
  • statusText: HTTP status message
  • data: Response body (parsed JSON or text)
  • headers: Response headers
  • url: Full URL that was called
  • method: HTTP method used

Project Structure

src/
├── index.js                 # Entry point & server setup
├── config.js               # Configuration management
├── swagger/
│   ├── fetcher.js          # Swagger doc fetching & caching
│   └── parser.js           # Endpoint, schema, and tag parsing
└── tools/
    ├── definitions.js      # Tool schemas & definitions
    └── handlers.js         # Tool request handlers

Configuration

The server accepts the API URL in three ways (in order of precedence):

  1. Command-line argument: npx @awssam/mcp-swagger <URL>
  2. Environment variable: export API_URL=<URL>
  3. Default: http://localhost:3000/api-json

Requirements

  • Node.js >= 18.0.0
  • Valid Swagger/OpenAPI JSON or YAML endpoint

Use Cases

  • API Exploration: Let AI understand and navigate your API
  • Documentation Assistance: Get instant answers about endpoints
  • Code Generation: Generate curl commands and examples
  • Migration Planning: Find deprecated endpoints
  • Impact Analysis: Track schema usage across endpoints
  • Developer Onboarding: Quick API discovery and learning

Development

# Clone the repository
git clone https://github.com/awssam/mcp-swagger.git
cd mcp-swagger

# Install dependencies
npm install

# Run locally
npm start https://petstore.swagger.io/v2/swagger.json

License

MIT

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

Support

  • Issues: https://github.com/awssam/mcp-swagger/issues
  • Author: Awssam Saidi

Related Projects

Recommended Servers

playwright-mcp

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)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

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

Official
Featured
Local
graphlit-mcp-server

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

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

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured