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bruno-api-mcp

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MCP that allows us to load our bruno collection and have AI call it on our behalf

1 stars TypeScriptAI & Machine Learning Updated Jul 17, 2025

Documentation

Bruno API MCP Server

A Model Context Protocol (MCP) server that exposes Bruno API collections as MCP tools. This server allows you to interact with your Bruno API collections through the MCP protocol, making your API collections accessible to AI agents and other MCP clients.

Why This Matters: Source Code and Data Working Together

When developers need to integrate APIs, they typically face three core challenges:

1. Debugging across system boundaries: Diagnosing issues across separate code and data environments requires constant context switching, making troubleshooting inefficient.

2. Creating custom tooling: Each third-party API integration requires building and maintaining custom tooling, causing development overhead and technical debt.

3. Building service UIs: Developing user interfaces for every backend service adds significant complexity and maintenance costs.

This server solves these precise problems by collocating your source code with your data. It transforms Bruno API collections into Model Context Protocol tools, enabling you to:

  • Debug across previously separate environments with complete context
  • Turn any API into an agent-ready tool without additional custom development
  • Build headless services that can be controlled through AI interfaces

For development teams that need to accelerate API integration while reducing maintenance overhead, this approach fundamentally changes what's possible - making previously complex integrations straightforward and accessible.

Features

  • Automatic conversion of Bruno API collections to MCP tools
  • Environment management for different API configurations
  • HTTP with SSE transport
  • Cross-origin support
  • Built-in tools for API collection management

Usage

1. Install dependencies:

code
npm install

2. Start the server with your Bruno API collection:

code
node --loader ts-node/esm src/index.ts --bruno-path /path/to/bruno/collection [--environment env_name] [--include-tools tool1,tool2,tool3] [--exclude-tools tool4,tool5]

Options:

    Both formats are supported for the tool filtering options:

    code
    --include-tools tool1,tool2,tool3    # Space-separated format
       --include-tools=tool1,tool2,tool3    # Equals-sign format

    3. Connect from clients:

      Predefined Scripts

      The repository includes several predefined npm scripts for common use cases:

      bash
      # Start the server with default settings
      npm start
      
      # Start with CFI API path
      npm run start:cfi
      
      # Start with local environment
      npm run start:local
      
      # Start with only specific tools included
      npm run start:include-tools
      
      # Start with specific tools excluded
      npm run start:exclude-tools

      Development

      Running Tests

      Run all tests:

      bash
      npm test

      Run specific test file:

      bash
      npm test test/bruno-parser-auth.test.ts

      Debugging

      The server uses the `debug` library for detailed logging. You can enable different debug namespaces by setting the `DEBUG` environment variable:

      bash
      # Debug everything
      DEBUG=* npm start
      
      # Debug specific components
      DEBUG=bruno-parser npm start    # Debug Bruno parser operations
      DEBUG=bruno-request npm start   # Debug request execution
      DEBUG=bruno-tools npm start     # Debug tool creation and registration
      
      # Debug multiple specific components
      DEBUG=bruno-parser,bruno-request npm start
      
      # On Windows CMD:
      set DEBUG=bruno-parser,bruno-request && npm start
      
      # On Windows PowerShell:
      $env:DEBUG='bruno-parser,bruno-request'; npm start

      Available debug namespaces:

      • `bruno-parser`: Bruno API collection parsing and environment handling
      • `bruno-request`: Request execution and response handling
      • `bruno-tools`: Tool creation and registration with MCP server

      Tools

      List Environments

      Lists all available environments in your Bruno API collection:

      • No parameters required
      • Returns:
        • List of available environments
        • Currently active environment

      Echo

      Echoes back a message you send (useful for testing):

      • Parameter: `message` (string)

      Bruno API Collection Structure

      Your Bruno API collection should follow the standard Bruno structure:

      code
      collection/
      ├── collection.bru       # Collection settings
      ├── environments/       # Environment configurations
      │   ├── local.bru
      │   └── remote.bru
      └── requests/          # API requests
          ├── request1.bru
          └── request2.bru

      Each request in your collection will be automatically converted into an MCP tool, making it available for use through the MCP protocol.

      Using Custom Parameters with Tools

      When calling tools generated from your Bruno API collection, you can customize the request by providing:

      Environment Override

      You can specify a different environment for a specific request:

      json
      {
        "environment": "us-dev"
      }

      This will use the variables from the specified environment instead of the default one.

      Variable Replacements

      You can override specific variables for a single request:

      json
      {
        "variables": {
          "dealId": "abc123",
          "customerId": "xyz789",
          "apiKey": "your-api-key"
        }
      }

      These variables will be substituted in the URL, headers, and request body. For example, if your request URL is:

      code
      {{baseUrl}}/api/deal/{{dealId}}

      And you provide `{ "variables": { "dealId": "abc123" } }`, the actual URL used will be:

      code
      https://api.example.com/api/deal/abc123

      Query Parameters

      You can add or override query parameters directly:

      json
      {
        "query": {
          "limit": "10",
          "offset": "20",
          "search": "keyword"
        }
      }

      This will add these query parameters to the URL regardless of whether they are defined in the original request. For example, if your request URL is:

      code
      {{baseUrl}}/api/deals

      And you provide `{ "query": { "limit": "10", "search": "keyword" } }`, the actual URL used will be:

      code
      https://api.example.com/api/deals?limit=10&search=keyword

      This approach is cleaner and more explicit than using variables to override query parameters.

      Custom Body Parameters

      You can also provide custom parameters in the request body:

      json
      {
        "body": {
          "name": "John Doe",
          "email": "john@example.com"
        }
      }

      Complete Example

      Here's a complete example combining all four types of customization:

      json
      {
        "environment": "staging",
        "variables": {
          "dealId": "abc123",
          "apiKey": "test-key-staging"
        },
        "query": {
          "limit": "5",
          "sort": "created_at"
        },
        "body": {
          "status": "approved",
          "amount": 5000
        }
      }

      License

      MIT

      Frequently asked questions

      What is bruno-api-mcp?

      bruno-api-mcp is MCP that allows us to load our bruno collection and have AI call it on our behalf

      How do I install bruno-api-mcp?

      Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

      Is bruno-api-mcp open source?

      Yes — it is hosted on GitHub at https://github.com/djkz/bruno-api-mcp and has 1 stars.

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