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MCP Server from OpenAPI

MCP Server from OpenAPI

Local
github.com/rajeshm7910Developer Tools0Updated 73w ago

About MCP Server from OpenAPI

A Python implementation that builds an MCP server from an OpenAPI specification. It supports SSE and streaming modes, with client examples for MCP and ADK agents.

Key features

  1. 01Generate endpoints from OpenAPI specs
  2. 02SSE and streaming modes
  3. 03MCP and ADK client examples
  4. 04Configure with environment variables

Use cases

  1. 01Expose an OpenAPI-defined API to MCP clients
  2. 02Test API calls through SSE or streaming
  3. 03Connect ADK agents to generated endpoints

MCP support

Generates an MCP server from an OpenAPI specification and exposes API operations to MCP clients. It includes SSE and streaming server and client implementations.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server from OpenAPI

A MCP server implementation from OpenAPI specifications, supporting both SSE (Server-Sent Events) and streaming responses.

Prerequisites

  • Python 3.x
  • pip (Python package manager)
  • Anthropic API key (for MCP clients)
  • Google API key (for ADK agents)

Installation

  1. Create and activate a virtual environment:
python3 -m venv venv
source venv/bin/activate
  1. Install dependencies:
pip install -r requirements.txt

Server Setup

The server can be run in two modes:

SSE Mode
python server/mcp_server_sse.py --spec server/httpbin_openapi.yaml --name httpbin --base-url https://httpbin.org
Streaming Mode
python server/mcp_server_stream.py --spec server/httpbin_openapi.yaml --name httpbin --base-url https://httpbin.org

Client Setup

MCP Clients
  1. Create a .env file in the project root and add your Anthropic API key:
ANTHROPIC_API_KEY=your_api_key_here
  1. Run the client of your choice:
    • For SSE client:
    python client/sse_client.py
    
    • For streaming client:
    python client/stream_client.py
    

Example usage with either MCP or streaming client:

MCP Client Started!
Type your queries or 'quit' to exit.

Query: Get Headers

I'll help you get the headers using the api_call function.
[Calling tool api_call with args {'kwargs': '{"action": "get_headers"}'}]
Here are the headers from the response:

```json
{
    "Accept": "*/*",
    "Accept-Encoding": "gzip, deflate",
    "Content-Type": "application/json",
    "Host": "httpbin.org",
    "User-Agent": "python-httpx/0.28.1",
    "X-Amzn-Trace-Id": "Root=1-683fecc4-674af7e9323b027c4b9bc740"
}
ADK Agents
Prerequisites
  1. Install ADK:
pip install google-adk
Setup Steps
  1. Important: Streaming mode workaround

    • Download the latest mcp_session_manager.py from Google ADK repository
    • Replace the existing file in your ADK installation:
      # Typical path (adjust Python version as needed)
      cp mcp_session_manager.py venv/lib/python3.13/site-packages/google/adk/tools/mcp_tool/
      
  2. Navigate to the Clients directory:

cd client
  1. Configure the environment:

    • Add the following to .env file in both httpb_sse_agent and httpbin_stream_agent directories:
    GOOGLE_GENAI_USE_VERTEXAI="False"
    GOOGLE_API_KEY="your_google_api_key_here"
    
  2. Start the ADK web interface:

adk web

Features

  • OpenAPI specification-based endpoint generation
  • Support for both SSE and streaming responses
  • Multiple client implementations (MCP and ADK)
  • Easy configuration through environment variables

Troubleshooting

ADK Streaming Mode Issues

If you encounter issues with ADK agents in streaming mode:

  1. Verify you've replaced the mcp_session_manager.py file
  2. Check your Google API key is correctly set in the .env files
  3. Ensure you're using the latest version of ADK

License

This project is licensed under the Apache 2.0 License.

Comments

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