"Burp Suite" matching MCP servers:

Exposes Burp Suite operations through a local authenticated HTTP server and an MCP stdio bridge, enabling tools like burp_proxy_history via MCP.

AI-powered bug bounty hunting platform that integrates security tools (OWASP ZAP, Caido, Burp Suite) for automated reconnaissance, vulnerability testing, JavaScript analysis, and finding management with PostgreSQL storage.

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.

This MCP server gives AI coding agents structured, scoped access to GitHub issues, a codebase, its docs, and its test suite, enabling issue triage, code search, test execution, and failure analysis in one workflow. It provides deterministic tools for fetching and analyzing issues, searching code, reading documentation, running tests, and summarizing failures.

Wraps testgen's test-suite generation as an MCP tool, enabling AI assistants to generate test suites from requirements via a local HTTP endpoint.

Enables users to check HTTP status codes, find broken same-origin links, review SEO basics, and inspect common security headers with polite, permission-based crawling from any MCP client.

An MCP server that provides a readiness gateway for ISO 20022 payments, offering readiness checks, automated remediation, clearing-profile linting, and bank-response simulation through a single orchestration interface.

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.

Integrates TestRail with Claude Code to enable AI-assisted test management workflows, including project, suite, test case, test run, and result operations.

Enables scanning text for policy and safety issues, generating test suite outlines, and checking the configuration/health of the evaluation setup.

Enables input/output policy validation via MCP, including scanning text for policy and safety issues, generating test suite outlines, and checking configuration health.

Enables AI assistants to interact with SmartBear's suite of testing and monitoring tools including BugSnag, Swagger, Reflect, and more through natural language, allowing querying of testing data, analysis of performance metrics, and management of test automation.

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.

Mobile automation suite of tools including an MCP and libraries for test authoring & execution. Android first, iOS support coming.

Enables rapid analysis of landing pages for SEO compliance, conversion structure, color contrast accessibility, and performance metrics with automated optimization suggestions and code snippets.

Enables agents to browse and retrieve benchmark reasoning tasks, deterministically grade submitted answers, run the evaluation suite against a model provider, and inspect data provenance and the ranking-stability index entry. It also supports scoring stability analysis across repeated runs and prompt variants via its tools.

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.

Generates a pytest suite from acceptance criteria that are withheld from the coding agent, so the tests can disagree with the code. Four tools, and qikly_run never returns the criteria, which a test in the suite enforces.

Lets MCP clients browse benchmark tasks, inspect individual tasks, grade answers, execute the benchmark suite, and fetch provenance metadata.