"Bruno" matching MCP servers:

Python MCP server for running and inspecting Bruno API collections

A local MCP server that lets clients discover, inspect, and execute Bruno OpenCollection API collections, while delegating request execution, authentication, scripting, assertions, and environment resolution to the Bruno CLI.

MCP Server for running Bruno Collections

MCP server that executes requests from Bruno API collections via the Bruno CLI tool, enabling API request execution and collection management.

Read-only MCP server for indexing and searching Bruno API collections. Enables endpoint discovery and contract retrieval without executing requests.

Enables local enumeration and safe editing of Bruno workspaces, legacy .bru collections, and OpenCollection YAML, with keychain-backed secrets and execution through the official bru CLI.

A headless MCP server for Bruno workspaces, enabling CRUD operations on collections, folders, requests, environments, and dotenv files, plus request execution with scripting, tests, and assertions over HTTP, GraphQL, gRPC, and WebSocket.

Integrates Bruno CLI for API testing, enabling users to run API requests and collections, manage environments, generate test reports (JSON/JUnit/HTML), and validate collection structures through natural language commands.

Enables AI coding assistants to discover, inspect, and run API requests in Bruno collections locally, keeping all data private.

Enables AI agents to create, edit, read, and run Bruno API collections (both .bru and .yml formats) with byte-parity to Bruno's own reader, without requiring the Bruno CLI.

A Model Context Protocol (MCP) server that enables programmatic creation and management of Bruno API testing collections, environments, and requests through standardized MCP tools.

Automatically generates and maintains Bruno API test collections for CRUD JSON APIs. Developers describe endpoint changes and the server creates ready-to-run test suites with environment-driven configuration.

Enables API development directly from MCP clients by creating and editing collections, running requests through the real CLI, generating documentation, and starting mock servers.

Exposes Bruno API collections as Model Context Protocol (MCP) tools, allowing AI agents and MCP clients to interact with your API collections.

Exposes Bruno CLI as tools for AI agents, allowing them to discover, inspect, and execute Bruno API collections through the MCP protocol.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

An MCP server that provides real-time access to Brazilian agricultural data, including commodity prices, crop estimates, climate information, and deforestation rates. It integrates data from 19 public sources like CEPEA, CONAB, and IBGE to enable LLMs to analyze the Brazilian agribusiness sector.

A Model Context Protocol server that exposes real-time AI news intelligence to AI agents and MCP-compatible clients, with 9 deterministic tools for search, trending, signals, and risk analysis.

AI-orchestrated security testing via 6 Python tools (recon, port scan, subdomain hunting, frontend scanning, API fuzzing, and nemesis orchestrator) exposed as MCP tools for use by AI agents.

A remote MCP server implementation that integrates with Stripe, enabling AI assistants to interact with the Stripe API for payment processing functionality.