"Tools for Testing in Python and Java" matching MCP servers:

A Java implementation of the GitHub MCP (Model Context Protocol) Server using Spring AI. This server provides MCP-compatible tools for interacting with the GitHub API.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

An MCP server for BitBucket Cloud operations that enables AI agents to manage repositories, branches, pull requests, and search code.

Provides AI coding assistants with tools to run git status, recent commits, tests, and linter on a real repository.

A local MCP server that gives AI coding assistants read, write, search, and execute capabilities within a specified project directory. This Windows GUI build simplifies setup by eliminating manual Python, Node.js, or Docker installation.

A read-only MCP server providing SQLite querying, port checking, and git diff summary tools for local development.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

A small MCP server for course experiments that provides tools to read recent commits from public GitHub repositories.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

A Python implementation of an MCP server that enables secure, local Bitbucket integration for AI applications, providing tools for repository management, branch creation, file operations, issue tracking, and pull request creation.

This MCP server provides unified diffs of two text inputs using Python's standard library difflib.

Enables ChatGPT to inspect and edit local projects through a secure MCP interface, offering workspace management, file operations, git integration, and safe command execution.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

Gives MCP-compatible AI clients safe, hands-on access to local codebases: file reading/search, multi-file patches, command execution, interactive sessions, Git inspection, and coordination of local agent providers such as Antigravity and OpenCode.

Aggregates GitHub, GitLab, and Figma development tools via MCP, enabling file access, code search, and design inspection. Also supports executing standalone tasks with Claude Code or Codex CLI.

Self-hosted MCP coding server and unified local Control Center for ChatGPT web, enabling file editing, command execution, Git operations, and optional upstream MCP tools with conversation access controls.

Enables AI agents to perform GitHub analytics and management tasks, including repository analysis, PR summarization, issue triage, release notes generation, and contributor statistics.

Enables AI agents to analyze local Git repositories with commit logs, diffs, blame, statistics, and branch analysis using native git commands without requiring a GitHub API.

Enables users to safely read, write, edit, create directories, and list trees within a structured local Windows environment, with strict path validation and Git-based undo/version control.