mcp-bruno
Related Servers
Alternatives to mcp-bruno
No user-submitted related servers found.
Related Servers
- MIT
- AlicenseAqualityAmaintenanceA 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.1114 npm1MIT
- AlicenseNot gradedqualityCmaintenanceMCP server that executes requests from Bruno API collections via the Bruno CLI tool, enabling API request execution and collection management.4MIT
- AlicenseBqualityFmaintenanceA Model Context Protocol (MCP) server that enables programmatic creation and management of Bruno API testing collections, environments, and requests through standardized MCP tools.174 npm33MIT
- AlicenseNot gradedqualityCmaintenanceA 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.MIT
- AlicenseAqualityBmaintenanceRead-only MCP server for indexing and searching Bruno API collections. Enables endpoint discovery and contract retrieval without executing requests.814 npmMIT
TDQS
Scored across 7 tools
Tools have distinct primary purposes (listing, running, discovering, reading, validating). However, run-filter-scenarios and run-full-validation overlap in testing disabled query filters, requiring careful reading to choose between targeted filter testing and comprehensive two-phase validation.
All tool names follow a consistent lowercase hyphen-separated verb_noun pattern (list-, run-, discover-, read-), with no mixed casing or verb styles.
Seven tools is well-scoped for a Bruno collection runner/validator; each tool covers a distinct stage (discovery, execution, filtering, validation, artifact reading) without bloat.
The surface covers discovery, execution, filter validation, and artifact reading, which are the core lifecycle for running and validating collections. Minor gaps exist (e.g., no dedicated single-request execution or collection editing), but agents can work around them via run-collection and filter scenarios.