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dev-proxy-tools

dev-proxy-tools

Local
github.com/dev-proxy-toolsDeveloper Tools4Updated 1w ago

About dev-proxy-tools

dev-proxy-tools is an MCP interface to Dev Proxy for AI assistants and developers configuring or using the API simulator. It provides documentation lookup, best practices, and the installed version.

Key features

  1. 01Search Dev Proxy documentation
  2. 02Retrieve configuration best practices
  3. 03Check the installed version

Use cases

  1. 01Find how to simulate API errors
  2. 02Consult best practices while creating configurations
  3. 03Check whether a configuration matches the installed version

MCP support

The MCP server exposes Dev Proxy documentation and version information through tools including GetBestPractices, FindDocs, and GetVersion.

Configuration

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

mcp.json · Universal config
{
"mcpServers": {
"dev-proxy-tools": {
"command": "npx",
"args": [
"-y",
"@devproxy/mcp"
]
}
}
}
Run commandnpx -y @devproxy/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@devproxy/mcp0.3.1

Tools

3

Saved tool list · updated 3w ago

This tool takes no parameters.

Details

From the project README

Dev Proxy MCP Server

Install with NPX in VS Code Install with NPX in VS Code Insiders

A Model Context Protocol (MCP) server for Dev Proxy that enables AI assistants to interact with Dev Proxy capabilities using the MCP standard. Use this server to:

  1. Create Dev Proxy configurations using natural language
  2. Get contextual help for working with Dev Proxy
  3. Discover Dev Proxy features and capabilities

Screenshot of Visual Studio Code with GitHub Copilot chat pane open. GitHub Copilot works in assistant mode and uses the Dev Proxy MCP server to retrieve relevant information and create Dev Proxy configuration that matches the specified prompt.

What is Dev Proxy?

Dev Proxy is an API simulator that helps you effortlessly test your app beyond the happy path. It allows you to:

  • Test API error handling: See how your app responds to API errors without changing your code
  • Verify rate limit handling: Simulate API rate limits to improve user experience
  • Test slow API responses: See how your app handles slow APIs to implement necessary affordances
  • Create mock APIs: Quickly stand up mock APIs without writing code you won't ship

Dev Proxy works with any type of app and tech stack as it intercepts network requests at the proxy level.

What This Package Does

This package provides a Model Context Protocol (MCP) server interface to Dev Proxy. It allows AI assistants and other MCP-compatible clients to:

  1. Find Dev Proxy documentation using natural language queries
  2. Get the installed Dev Proxy version

Prerequisites

Usage

To set up and use the MCP server, refer to the instructions for your MCP host, such as Visual Studio Code. The Dev Proxy MCP server is published on npm under @devproxy/mcp.

Use the following values:

  • Type: stdio
  • Command: npx
  • Arguments:
    • -y
    • @devproxy/mcp
  • Environment: none

Tip

If you want to test the preview version of the server using @devproxy/mcp@next.

Connect with an MCP Client

This MCP server exposes the following tools:

GetBestPractices

Gets a list of best practices for configuring and using Dev Proxy. Call it for any code generation or operation involving Dev Proxy. These best practices do not change so once it has been called during the current session, you do not need to invoke it again.

_Best practices in markdown_
FindDocs

Finds relevant Dev Proxy documentation related to a specific query.

{
  "query": "How to simulate API errors"
}
GetVersion

Gets the currently installed Dev Proxy version. This is useful to ensure that the generated configuration is compatible with the installed version of Dev Proxy.

{}

Development

# Clone the repository
git clone https://github.com/waldekmastykarz/dev-proxy-mcp.git
cd dev-proxy-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Run the server
npm start

# Run with MCP inspector for debugging
npm run inspect

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Related Projects

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.