"A platform for managing and hosting Git repositories" matching MCP servers:

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

Enables Claude to explore and analyze remote Git repositories, providing structured file contents and token estimates.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables AI clients to interact with GitHub repositories, issues, pull requests, and code search through the GitHub REST API.

An MCP server that enables AI agents to inspect and interact with a local Git repository, including managing Git status, logs, branches, commits, and workspace files.

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

Enables local git operations including commit, branch, push, pull, status, and sync with conventional commit enforcement and branch naming conventions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables AI assistants to create conventional Git commits, update changelogs, and optionally push changes to remote repositories.

MCP server that makes git rebase safe for agents by refusing unsafe operations, presenting conflicts as two intents, and verifying the branch's change against its base.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Automatically generates conventional commit messages from staged git changes and checks repository status. Analyzes git diffs to create properly formatted commit messages following conventional commit standards.

Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

A Model Context Protocol server that enables Large Language Models to interact with Git repositories through a robust API, supporting operations like repository initialization, cloning, file staging, committing, and branch management.