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bruno-mcp

MCP.Pizza Chef: hungthai1401

Bruno MCP Server is an MCP server that runs Bruno API test collections through the Bruno CLI, providing LLMs with detailed, structured test results. It supports environment files and variables, delivering comprehensive test summaries, failure details, and execution timings via a standardized interface for seamless integration with AI workflows.

Use This MCP server To

Run Bruno API test collections via MCP for automated testing Retrieve detailed test results including pass/fail status Integrate API testing results into AI-driven workflows Use environment files and variables for test configuration Analyze execution timings for performance insights Automate API test execution triggered by LLM commands

README

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Bruno MCP Server

Bruno MCP server

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An MCP (Model Context Protocol) server that enables running Bruno collections. This server allows LLMs to execute API tests using Bruno and get detailed results through a standardized interface.

Features

  • Run Bruno collections using the Bruno CLI
  • Support for environment files
  • Support for environment variables
  • Detailed test results including:
    • Overall success/failure status
    • Test summary (total, passed, failed)
    • Detailed failure information
    • Execution timings

Installation

Installing via Smithery

To install Bruno MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @hungthai1401/bruno-mcp --client claude

Manual Installation

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Add the server to your Claude desktop configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "bruno-runner": {
      "command": "npx",
      "args": ["-y", "bruno-mcp"],
    }
  }
}

Available Tools

run-collection

Runs a Bruno collection and returns the test results.

Parameters:

  • collection (required): Path to the Bruno collection
  • environment (optional): Path to environment file
  • variables (optional): Environment variables as key-value pairs

Example Response:

{
  "success": true,
  "summary": {
    "total": 5,
    "failed": 0,
    "passed": 5
  },
  "failures": [],
  "timings": {
    "started": "2024-03-14T10:00:00.000Z",
    "completed": "2024-03-14T10:00:01.000Z",
    "duration": 1000
  }
}

Example Usage in Claude

You can use the server in Claude by asking it to run a Bruno collection:

"Run the Bruno collection at /path/to/collection.bru and tell me if all tests passed"

Claude will:

  1. Use the run-collection tool
  2. Analyze the test results
  3. Provide a human-friendly summary of the execution

Development

Project Structure

src/
  ├── index.ts           # Entry point
  ├── server.ts          # MCP Server implementation
  ├── runner.ts          # Bruno runner implementation
  └── types.ts           # Type definitions

Running Tests

# Run tests
npm test

# Run tests with coverage
npm test:coverage

Building

# Build the project
npm run build

# Clean build artifacts
npm run clean

License

MIT

bruno-mcp FAQ

How do I install the Bruno MCP server?
Installation instructions are provided in the GitHub repository, typically involving Bruno CLI setup and server deployment steps.
Can Bruno MCP server handle environment variables?
Yes, it supports environment files and environment variables for flexible test configuration.
What kind of test results does Bruno MCP server provide?
It provides overall success/failure status, test summaries, detailed failure information, and execution timings.
How does Bruno MCP server integrate with LLMs?
It exposes Bruno test execution and results through a standardized MCP interface, enabling LLMs to run and interpret API tests.
Is Bruno MCP server compatible with multiple Bruno collections?
Yes, it can run various Bruno collections as specified by the user through the MCP interface.
What is the benefit of using Bruno MCP server in AI workflows?
It automates API testing and delivers structured results, allowing AI models to make informed decisions based on test outcomes.