"How to Find People on Twitter by Name" matching MCP servers:

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

This read-only MCP Server allows you to connect to GitHub data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Bitbucket (beta): https://www.cdata.com/download/download.aspx?sku=KJZK-V&type=beta

A read-only MCP server for the Bitbucket Cloud REST API v2.0 that enables AI assistants to browse workspaces, repositories, and review pull requests.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

MCP server for Azure DevOps Server 2022 (on-premises) that enables AI assistants to interact with work items, repositories, builds, and sprints through 29 tools.

Provides a private, managed instance of the official GitHub MCP server hosted on Amazon Bedrock AgentCore with Okta authentication. It allows developers to securely interact with GitHub through MCP-compatible IDEs over a private AWS infrastructure.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

A custom MCP server that lets AI assistants interact with GitHub accounts, offering tools for repository creation, file viewing, code search, and issue management.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Enables phone-issued approve/commit/push/pull commands to control an AI coding agent's git actions by bridging GitHub webhooks and MCP tool calls.

Enables AI agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.

Enables coding agents to receive scored, verified library recommendations, compare repositories side by side, and list trending GitHub repositories by day, week, or month.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

Enables multiple AI agents to collaborate on the same git repository by coordinating work via a shared claims branch, detecting file conflicts before they happen.

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.