Bruno MCP Server
Bruno MCP Server is a Model Context Protocol server that provides integration with Bruno CLI for API testing and collection management, supporting functions such as running single requests, complete collections, environment variable verification, and report generation.
rating : 2 points
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What is Bruno MCP Server?
Bruno MCP Server is a Model Context Protocol server that integrates the functionality of the Bruno API testing tool into AI assistants (such as Claude). Through this server, you can directly run API tests, manage test collections, and generate test reports in the conversation without leaving the AI assistant interface.How to use Bruno MCP Server?
After installation and configuration, you can use simple natural language commands through the AI assistant to perform various API testing operations, such as 'Run user API tests', 'Generate test reports', or 'Check all requests in the API collection'.Applicable scenarios
Suitable for developers, test engineers, and DevOps teams to quickly verify API functionality during the development process, integrate into CI/CD pipelines, or quickly run tests during API debugging.Main features
Run a single API request
Execute a specific API request from the Bruno collection, supporting environment variables and authentication.
Run a complete collection
Execute all requests in an entire API test collection or a specific folder.
Multi-format report generation
Generate test reports in JSON, JUnit XML, and HTML formats, supporting CI/CD integration.
Automatic collection discovery
Automatically search for and discover Bruno test collections in the directory.
Environment management
Manage variable configurations for different environments, supporting environment verification.
Dry run mode
Verify the request configuration without actually executing the HTTP call to avoid accidental operations.
Health monitoring
Check the server status, performance metrics, and cache statistics.
Advantages
Seamless AI assistant integration - Run API tests directly in the conversation
Support for multiple report formats - JSON, JUnit, and HTML meet different needs
Environment variable support - Easily manage configurations for different environments
Secure and reliable - Built-in path verification and sensitive information masking
Performance optimization - Request caching and monitoring improve execution efficiency
Easy to configure - Supports global and project-level configurations
Limitations
Depends on the Node.js environment - Requires Node.js 20 or higher
Requires Bruno collections - Must use API test collections in Bruno format
Learning curve - Requires basic knowledge of API testing concepts
Path restrictions - By default, restricts the file system access scope for security reasons
How to use
Install the server
Install Bruno MCP Server globally or locally via NPM.
Configure the AI client
Add server configuration to MCP-supported clients such as Claude Desktop.
Prepare the test collection
Ensure you have an available Bruno API test collection containing the bruno.json file.
Start testing
Use natural language commands through the AI assistant to run API tests.
Usage examples
Quick API verification
Quickly verify whether an API endpoint is working properly during the development process.
Generate CI/CD reports
Generate a JUnit format test report for the continuous integration pipeline.
Environment configuration check
Verify whether the configurations of different environments are correct.
Security pre-check
Verify the request configuration before the official run.
Frequently Asked Questions
Do I need to install Bruno GUI?
Which authentication methods are supported?
Where are the test reports saved?
How to handle sensitive information?
Can it be integrated into CI/CD?
How about the performance?
Related resources
Bruno official website
Official documentation and downloads for the Bruno API testing tool
GitHub repository
Source code and latest version of Bruno MCP Server
MCP protocol documentation
Official technical documentation for the Model Context Protocol
Example collections
Test collections containing getting-started examples and best practices

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