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Bruno MCP

by hungthai1401
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Бруно MCP Сервер

значок кузнеца

Сервер MCP (Model Context Protocol), который позволяет запускать коллекции Bruno. Этот сервер позволяет LLM выполнять тесты API с использованием Bruno и получать подробные результаты через стандартизированный интерфейс.

Функции

  • Запуск коллекций Bruno с помощью Bruno CLI

  • Поддержка файлов окружения

  • Поддержка переменных среды

  • Подробные результаты испытаний, включая:

    • Общий статус успеха/неудачи

    • Итоги теста (всего, сдано, не сдано)

    • Подробная информация об отказе

    • Сроки выполнения

Related MCP server: bruno-mcp

Установка

Установка через Smithery

Чтобы автоматически установить Bruno MCP Server для Claude Desktop через Smithery :

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

Ручная установка

# Install dependencies
npm install

# Build the project
npm run build

Конфигурация

Добавьте сервер в файл конфигурации рабочего стола Claude по адресу ~/Library/Application Support/Claude/claude_desktop_config.json :

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

Доступные инструменты

запуск-коллекция

Запускает сбор данных Бруно и возвращает результаты теста.

Параметры:

  • collection (обязательно): Путь к коллекции Бруно

  • environment (необязательно): Путь к файлу среды

  • variables (необязательно): переменные среды как пары ключ-значение

Пример ответа:

{
  "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
  }
}

Пример использования в Клоде

Вы можете использовать сервер в Claude, попросив его запустить коллекцию Bruno:

«Запустите коллекцию Бруно по адресу /path/to/collection.bru и сообщите мне, все ли тесты пройдены»

Клод будет:

  1. Используйте инструмент для сбора данных

  2. Проанализируйте результаты теста

  3. Предоставьте понятное резюме выполнения

Разработка

Структура проекта

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

Проведение тестов

# Run tests
npm test

# Run tests with coverage
npm test:coverage

Здание

# Build the project
npm run build

# Clean build artifacts
npm run clean

Лицензия

Массачусетский технологический институт

Available Tools

1 tool
run-collectionC

Run a Bruno Collection using Bruno CLI

ParametersJSON Schema
NameRequiredDescriptionDefault
collectionYesPath to the Bruno collection
environmentNoOptional path to environment file
variablesNoOptional environment variables

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Run' which implies execution, but fails to describe critical behaviors like whether it's read-only/destructive, requires specific permissions, has side effects (e.g., file changes), or handles errors. This leaves significant gaps for an execution tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized and front-loaded, clearly stating the core action without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of running a collection (an execution tool with potential side effects), no annotations, and no output schema, the description is incomplete. It lacks details on behavior, output format, error handling, or dependencies, making it inadequate for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so the schema already documents all parameters (collection path, optional environment file, optional variables). The description adds no additional meaning beyond what the schema provides, such as format examples or usage context, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Run') and resource ('a Bruno Collection using Bruno CLI'), making the purpose understandable. However, it doesn't differentiate from siblings since there are none, so it can't achieve the full 5 points for sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool, such as prerequisites (e.g., Bruno CLI installation), alternatives, or specific contexts. It only states what the tool does without usage instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedrun-collection
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool 'run-collection' has a single, clearly defined purpose that cannot be misselected against other tools.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'run-collection' follows a verb-noun pattern, and there are no other tools to compare it against for inconsistency.

Tool Count2/5

A single tool is generally too few for most server purposes, as it limits functionality and may indicate an incomplete or overly narrow scope. While it could be appropriate for a very specific task, it often feels thin and lacks the breadth needed for typical agent workflows.

Completeness1/5

With only one tool, the surface is severely incomplete. There are obvious gaps, such as the inability to create, list, update, or delete collections, which are typical operations in a collection management domain. This will likely cause agent failures when trying to perform basic tasks beyond running a collection.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

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  • bruno-mcp

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  • bruno-headless

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