"Running MySQL Queries Through a MySQL Socket" matching MCP servers:

A comprehensive MySQL interface for the Model Context Protocol that enables database management, SQL execution, and performance analysis. It features a robust Git-style version control system with automatic backups, secure permission management, and precise rollback capabilities for all data operations.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Zero-dependency stdio MCP server for token-aware prompt version diffs. Compare prompts or files and get machine-readable token delta reports with confidence labels.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

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.

Enables AI assistants to interact with Azure DevOps Server 2022 through natural language, enabling queries and operations on pipelines, pull requests, builds, and repositories.

Connects AI assistants to GitLab to interact with merge requests, reviews, discussions, pipelines, and test results through natural language queries. Supports viewing MR details, responding to comments, checking test summaries, and analyzing job logs.

Connects AI assistants to GitLab, allowing users to manage merge requests, view reviews, and interact with discussions through natural language queries.

Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems through API calls and natural language queries.

An MCP server that transforms repositories into queryable knowledge by combining static code analysis with git history tracking. It allows users to investigate codebase structure, identify fragile files based on churn, and receive risk assessments through natural language queries.

Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

A MCP server that provides access to GitHub trending repositories and developers data through a simple API interface.

Enables AI assistants to interact with Git repositories via MCP, supporting status checks, diffs, staging, commits, branch management, and log queries.

Enables checking git repository status and viewing recent commit history through natural language queries. Supports error handling for non-git directories and allows specifying custom directory paths.

A Node.js server that allows browsing Git repositories through MCP, providing tools to view directory structures and read important files from repositories.

A server that allows you to explore the GitHub GraphQL schema and execute GraphQL queries through MCP client tools, enabling efficient data retrieval from GitHub with reduced token consumption.

Automates task delivery by providing tools for running delivery workflows, creating merge requests, updating Jira issues, and generating release notes.