"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.

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.

Enables LLMs to interact with Bitbucket repositories, primarily focusing on retrieving and reviewing pull request context. It provides a suite of tools for repository operations, allowing users to manage pull requests and explore Bitbucket resources through the Model Context Protocol.

A version management server for MCP skills that enables automated update detection, parallel version testing, and smart merging of custom modifications with official updates. It allows users to safely switch, rollback, and manage local skill versions through a standardized suite of MCP tools.

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.

A comprehensive MCP server suite that enables AI interaction with Gitea for repository management, secure command execution, and Docker monitoring. It provides additional tools for long-term memory, filesystem access, and web searching to support full development cycles.

Enables AI agents to investigate incidents by safely querying PostgreSQL, triaging GitHub issues, retrieving ERP order data, and sending Slack alerts, with AST-validated SQL and human-in-the-loop safeguards.

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.