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    Swagger Mcp

    mcp server which will dynamically define tools based on swagger

    72 stars
    Go
    Updated Nov 2, 2025

    Table of Contents

    • Overview
    • 📽️ Demo Video
    • 🙌 Support
    • Prerequisites
    • Installation and Setup
    • Run Configuration
    • MCP Configuration
    • Demo Flow
    • Flow Diagram
    • 🛠️ Need Help

    Table of Contents

    • Overview
    • 📽️ Demo Video
    • 🙌 Support
    • Prerequisites
    • Installation and Setup
    • Run Configuration
    • MCP Configuration
    • Demo Flow
    • Flow Diagram
    • 🛠️ Need Help

    Documentation

    swagger-mcp

    Certified by MCP Review

    Overview

    swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.

    📽️ Demo Video

    Check out demo video showcasing the project in action:

    Watch the Demo

    🙌 Support

    If you find this project valuable, please support me on LinkedIn by:

    • 👍 Liking and sharing our demo post
    • 💬 Leaving your thoughts and feedback in the comments
    • 🔗 Connecting with me for future updates

    Your support on LinkedIn will help me reach more people and improve the project!

    Prerequisites

    To use swagger-mcp, ensure you have the following dependencies:

    1. LLM Model API Key / Local LLM: Requires access to OpenAI, Claude, or Ollama models.

    2. Any MCP Client: (Used mark3labs - mcphost)

    Installation and Setup

    Follow these steps to install and run swagger-mcp:

    sh
    go install github.com/danishjsheikh/swagger-mcp@latest
    swagger-mcp

    Run Configuration

    To run swagger-mcp directly, use:

    sh
    swagger-mcp --specUrl=https://your_swagger_api_docs.json

    Main flags:

    • --specUrl: Swagger/OpenAPI JSON URL (required)
    • --sseMode: Run in SSE mode (default: false, if true runs as SSE server, otherwise uses stdio)
    • --sseAddr: SSE server listen address in IP:Port or :Port format (if empty, will use IP:Port from --sseUrl)
    • --sseUrl: SSE server base URL (if empty, will use sseAddr to generate, e.g. http://IP:Port or http://localhost:Port)
    • If both --sseAddr and --sseUrl are set, they are used as-is without auto-complement.
    • --baseUrl: Override base URL for API requests
    • --security: API security type (basic, apiKey, or bearer)
    • --basicAuth: Basic auth in user:password format
    • --bearerAuth: Bearer token for Authorization header
    • --apiKeyAuth: API key(s), format passAs:name=value (e.g. header:token=abc,query:user=foo,cookie:sid=xxx)
    • See main.go for all supported flags and options.

    MCP Configuration

    To integrate with mcphost, include the following configuration in .mcp.json:

    json
    {
        "mcpServers":
        {
            "swagger_loader": {
                "command": "swagger-mcp",
                "args": ["--specUrl="]
            }
        }
    }

    Demo Flow

    1. Some Backend:

    sh
    go install github.com/danishjsheikh/go-backend-demo@latest 
        go-backend-demo

    2. Ollama

    sh
    ollama run llama3.2

    3. MCP Client

    sh
    go install github.com/mark3labs/mcphost@latest
        mcphost -m ollama:llama3.2 --config

    Flow Diagram

    Flow Diagram

    🛠️ Need Help

    I am working on improving tool definitions to enhance:

    ✅ Better error handling for more accurate responses

    ✅ LLM behavior control to ensure it relies only on API responses and does not use its own memory

    ✅ Preventing hallucinations and random data generation by enforcing strict data retrieval from APIs

    If you have insights or suggestions on improving these aspects, please contribute by:

    • Sharing your experience with similar implementations
    • Suggesting modifications to tool definitions
    • Providing feedback on current limitations

    Your input will be invaluable in making this tool more reliable and effective! 🚀

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