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MCP verified MIT Self-run

Swagger Mcp

mcp-danishjsheikh-swagger-mcp · by danishjsheikh

mcp server which will dynamically define tools based on swagger

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Install

$ agentstack add mcp-danishjsheikh-swagger-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-danishjsheikh-swagger-mcp)

Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

swagger-mcp

[](https://mcpreview.com/mcp-servers/danishjsheikh/swagger-mcp)

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: [](https://www.linkedin.com/posts/danish-j-sheikhmcp-modelcontextprotocol-llm-activity-7300786040389218304-qfNk?utmsource=share&utmmedium=memberios&rcm=ACoAAEGFv8IB3uEbMighmc1gppVW4RcC1OUoSC4)

🙌 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:

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

Run Configuration

To run swagger-mcp directly, use:

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:

{
    "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 ``

  1. Ollama

``sh ollama run llama3.2 ``

  1. MCP Client

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

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! 🚀

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.