"Burp Suite" matching MCP servers:

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Unified air-gapped Model Context Protocol server exposing 9 deterministic developer appliances: PR anti-hallucination guard, AST token pruner (-70% tokens), Dockerfile bloat auditor, SQL anonymizer, and FinOps blast radius.

Provides 28 MCP tools across 16 analysis engines for comprehensive Python code quality assessment, including complexity scoring, security scanning, dead code detection, dependency auditing, and test quality analysis.

An MCP security toolkit that integrates Burp-style HTTP proxying, AI-driven vulnerability hunting, source code auditing, and reporting into AI coding agents, enabling authorized security testing of web applications and source code.

Provides comprehensive React Native development assistance with expert-level automated code remediation, security vulnerability fixes, performance optimization, and production-ready code generation. Includes testing suite generation, dependency management, and accessibility compliance tools.

Enables backend test quality analysis for GPA e-commerce, including coverage analysis, reverse engineering, architecture mapping, and test suite generation.

A comprehensive MCP server suite for Red Hat's automation ecosystem, enabling AI assistants to interact with Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation with secure domain validation.

Bridges local LLMs running in LM Studio with MCP clients like Claude Desktop to perform reasoning and analysis tasks while keeping sensitive data private. It features a suite of tools for local code review, privacy scanning, and content transformation using auto-discovered local models.

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

A Windows-optimized MCP suite with an interactive CLI hub for local stdio execution, enabling Excel, Word, workspace exploration, and TypeScript diagnostics, along with extensible user plugins.

Enables critique-only analysis of Playwright test-suite hygiene through MCP tools that scan a repository, review pasted code snippets, explain individual rules, and list rules—always returning findings, open questions, and disclaimers rather than an approval.

Enables an LLM to run a project's real test suite and SonarQube scan against on-disk projects using throwaway, socket-proxied containers without granting raw shell access.

A developer tool suite for Claude Code that automates the creation of CLAUDE.md files, project rules, and specialized AI agent definitions. It also provides advanced features for generating n8n workflows, performing security audits, and creating automated test cases.

Enables automated analysis of test suite traces to identify timing races and state pollution, helping developers mitigate flaky tests through MCP-compliant clients.

A zero-cost, multi-server MCP suite that provides a unified gateway and LangGraph-based automated PR-review agent, enabling code analysis, GitHub operations, and documentation generation via free-tier APIs.

Provides a suite of 35 developer utility APIs including code formatting, data conversion, and infrastructure generation. It enables AI agents to perform tasks like JSON validation, Dockerfile creation, and network lookups directly through natural language.

An MCP server suite that optimizes prompt context by reducing tokens up to 98.8%, acting as persistent long-term memory and codebase scanner to save API costs.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

Integrates multiple Android APK security analysis tools into MCP standard APIs for automated static and dynamic analysis and vulnerability detection.

Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.