"Bun" matching MCP servers:

Enables users to benchmark AI models across English, Urdu, and Roman Urdu by running question sets, grading answers, measuring confidently wrong and hedged responses, and producing reports, comparisons, and CSV exports through an MCP client or CLI.

MCP server for Zentao that reads bugs, extracts reproduction steps, and allows AI to update bug status after fixing.

An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.

Enables read-only, time-boxed Postgres queries with SQL validation and PII masking, supporting automated bug triage through Claude.

Enables you to audit your AI agent skills by running each one against an agent that cannot see it, diffing the resulting artifacts, and grading whether each skill genuinely improves, changes nothing, or worsens the output.

Enables visual authoring and testing of MCP tools, resources, and prompts across Bun, Node.js, and Python via standard MCP transports.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Enables managing bugs and test cases in Google Sheets via Claude Code, with tools to list, search, filter failed, and update test cases.

A Bun-based MCP server providing a persistent HTTP request toolset for testing and inspecting JSON APIs. It supports session-aware operations, including cookie persistence, automatic bearer token reuse, and configurable base URLs.

Enables managing TAPD (Tencent Agile Product Development) bugs, requirements, PRD reviews, and test reports directly from IDE via natural language, with cross-project aggregation and built-in workflows.

An AI-powered security audit tool that analyzes codebases for vulnerabilities using real-time MITRE CWE data and npm audit. It enables users to perform comprehensive scans for authentication issues, exposed secrets, and dependency risks with structured remediation steps.

Serves configurable fake service worlds as MCP tools with fault injection, recording every call and enabling seeded pytest assertions on final state.