Cloud · MODEL CONTEXT PROTOCOL
hungthai1401 bruno mcp
MCP Server for running Bruno Collections
WHAT IT CONNECTS
What hungthai1401 bruno mcp gives an AI Agent
- 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
- `collection` (required): Path to the Bruno collection
- `environment` (optional): Path to environment file
- `variables` (optional): Environment variables as key-value pairs
- Use the run-collection tool
- Analyze the test results
- Provide a human-friendly summary of the execution
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
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.
- 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
To install Bruno MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @hungthai1401/bruno-mcp --client claude# Install dependencies
npm install
# Build the project
npm run buildAdd 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"],
}
}
}Runs a Bruno collection and returns the test results.
Parameters:
collection(required): Path to the Bruno collectionenvironment(optional): Path to environment filevariables(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
}
}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:
- Use the run-collection tool
- Analyze the test results
- Provide a human-friendly summary of the execution
src/
├── index.ts # Entry point
├── server.ts # MCP Server implementation
├── runner.ts # Bruno runner implementation
└── types.ts # Type definitions
# Run tests
npm test
# Run tests with coverage
npm test:coverage# Build the project
npm run build
# Clean build artifacts
npm run cleanMIT
COMMUNITY