"Information about Git, a version control system" matching MCP servers:

Enables AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.

Enables comprehensive Git and GitHub operations through 30 DevOps tools including repository management, file operations, workflows, and advanced Git features. Provides complete Git functionality without external dependencies for seamless integration with Gitea and GitHub platforms.

A modular MCP server that provides a unified interface for interacting with GitHub and GitLab, including enterprise and self-hosted instances. It enables comprehensive management of repositories, issues, pull requests, and CI/CD pipelines through natural language.

Suggests the latest stable package versions when writing code.

Enables git repository operations through REST endpoints, providing access to repository status, diffs, and commits. Enforces security through configurable root directory allowlists for safe git operations.

A production-grade MCP server with 6 sandboxed tools and an agent orchestration engine for autonomous task completion, featuring an evaluation suite with CI/CD quality gates.

Unified MCP server for Git forge management across GitHub, GitLab, Gitea, and Bitbucket, enabling repository, issue, PR, and CI/CD operations via CLI tools and APIs.

Provides tools for autonomous CVE detection, enrichment, and remediation across managed repositories using GHSA and NVD data. It enables automated triage and pull request creation for dependency fixes based on configurable severity policies.

Enables deterministic detection of pytest config-leakage that corrupts agent-benchmark grading, returning CLEAN/CORRUPTED verdicts and corrected pytest commands.

Enables issue-to-code automation for GitHub and GitLab by connecting AI assistants (Claude Code, Gemini CLI, Codex) via MCP, with slash commands for issue analysis, planning, implementation, testing, documentation, and PR creation.

Connects AI tools to GitHub and local git repositories, enabling natural language management of issues, PRs, code analysis, and workflows.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.

Provides secure, controlled access to GitHub operations through the Model Context Protocol with enterprise-grade security features including secret detection, vulnerability scanning, rate limiting, and full audit trails. Supports repository management, file operations, branch creation, commits, and GitHub Actions workflows.

Enables git-based version control for n8n workflows with automatic credential remapping, allowing AI tools to pull, push, and manage workflows across environments.

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Enables interaction with Azure DevOps, including listing pipelines and runs, viewing logs and artifacts, collecting and normalizing security reports, and triggering pipelines with safety controls.

Mneme exposes a governed Decision Index so MCP clients can propose candidate architectural decisions and query decision state, applicability, and traceability. Proposals remain non-authoritative: accepting or activating protections stays under explicit human control.

Fail-closed merge gate for AI coding agents: verify_repo runs the tests that existed before the change against a git working tree and answers MERGE, BLOCK or INCONCLUSIVE. The agent names what to judge; the operator pins the baseline and the floors.

Multi-zone MCP server for GKE/EKS/AKS: Python tools from git, NeMo guardrails, SSO, autoscaling.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.