"MySQL Query Basics and Examples" matching MCP servers:

An MCP server that connects LLMs to CERN GitLab to discover and analyze High Energy Physics code, documentation, and analysis examples. It provides 14 tools for repository browsing, dependency parsing, and CI/CD configuration analysis.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Enables AI agents to query a GitHub user's public profile, repositories, language breakdowns, and README content

Bridges AI coding assistants with the OpenTelemetry ecosystem, providing real-time access to repositories, documentation, examples, semantic conventions, and instrumentation scoring for high-quality observability.

Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.

Provides MCP access to Contribution Compass's evidence catalog, enabling users to query curated open-source project activity, contribution opportunities, and observation histories.

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

Enables AI agents to query project memory by linking code changes to the conversations that produced them, allowing retrieval of past decisions and constraints directly from the codebase.

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

An MCP server that provides tools for interacting with the GitHub API, enabling AI assistants to query repositories, pull requests, issues, commits, users, and more.

Enables AI agents to fetch and pack the most relevant files from any GitHub repository for a given query, within token limits. Works with Claude Desktop, Cursor, Windsurf, and VS Code Copilot.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

MCP server for fast, bounded, read-only Git evidence, enabling AI agents to query commit history, diffs, status, and snapshots by parsing repository storage directly.

Exposes code graphs across multi-program repositories via MCP, enabling humans and agents to query the fleet with evidence.

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.

Ingests any GitHub repository's code into a Neo4j knowledge graph and exposes it as read-only MCP tools, enabling users to query repo structure, dependencies, and function details via natural language.

Enables AI agents to query and manage GitLab projects, issues, merge requests, and file contents via the GitLab REST API v4.