Bruno MCP Server
Enables AI coding assistants to discover, inspect, and run API requests in Bruno collections locally, keeping all data private.
README
Bruno MCP Server
A local-first, secure Model Context Protocol (MCP) server that enables AI coding assistants (like Cursor, Claude Desktop, and Aider) to discover, inspect, and run API requests in your Bruno collections entirely locally.
Key Features
- Local-First & Private: Executes API calls locally on your machine using your own local Bruno files and environments. No credentials or source files are sent to a cloud service.
- Universal Connection (MCP): Standardizes how AI coding agents query, analyze, and verify your back-end APIs.
- Tolerant Parsing: Extracts metadata (URL, headers, body types, bearer tokens) from
.brufiles while preserving the exact raw contents. - Process Sandbox: Executes requests by calling your project-local
@usebruno/clidirectly with no shell interpolation, protecting against command injection.
Installation
Prerequisites
- Node.js >= 20.0.0
- A Bruno collection initialized in your workspace.
Running with npx
You can boot the server directly via npx:
npx bruno-mcp-server --project-path /absolute/path/to/your/bruno-collection
Client Configuration
1. Cursor
To configure the server in Cursor, open Settings -> Features -> MCP, click + Add New MCP Tool, and fill in the details:
- Name:
bruno - Type:
stdio - Command:
node /absolute/path/to/bruno-mcp-server/dist/index.js --project-path /absolute/path/to/your/bruno-collection
2. Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"bruno": {
"command": "node",
"args": [
"/absolute/path/to/bruno-mcp-server/dist/index.js",
"--project-path",
"/absolute/path/to/your/bruno-collection"
]
}
}
}
Tool Reference
1. list_bruno_requests
Discovers and lists all .bru request files inside the collection root.
- Inputs:
project_path(string, optional)
- Output:
- A JSON array listing request names, paths, and detected HTTP methods.
2. get_bruno_request_detail
Extracts structured request details (URL, headers, body, auth parameters) and raw content.
- Inputs:
request_name(string, required) - The name (relative path without extension, or unique basename) of the request.project_path(string, optional)
3. run_bruno_request
Runs a request locally through the Bruno CLI and captures status and outputs.
- Inputs:
request_name(string, required)project_path(string, optional)env(string, optional) - Target environment defined in your collection.env_vars(object, optional) - Key-value overrides for environment variables.
Development & Contribution
See CONTRIBUTING.md for local setup, testing, and contribution protocols.
License
MIT License. See LICENSE for details.
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