"Interacting with Grok Shared Links" matching MCP servers:

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

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.

Provides AI clients with safe, structured access to local filesystem, Git repositories, and project contexts, featuring file operations, git status/diff, project management, and built-in code review/bug analysis prompts.

Enables remote MCP connections with GitHub OAuth authentication, providing tools like add, userInfoOctokit, and image generation (restricted) deployed on Cloudflare Workers.

Exposes a secure OAuth2 + SSE Model Context Protocol endpoint that lets Gemini Web read a local project's files, directory trees, search results, git status/diffs, and workspace info on a read-only basis. It also pairs the browser-side automation with a local bridge daemon so prompts and answers flow both ways between Gemini Web and Google Antigravity.

Fetches GitHub pull request information including file changes, diffs, and metadata, then creates analysis summaries in Notion pages.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

Enables ChatGPT Pro web to securely read workspace files, git diffs, and test records through OAuth-protected read-only MCP tools, so it can plan and review while Codex handles execution without uploading the repository.

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.

A production-ready Model Context Protocol (MCP) server that extends GitHub Copilot with GitHub repository management capabilities. Enables AI-driven issue tracking, repository information retrieval, and seamless GitHub integration.

Enables the ChatGPT web app to securely read selected files, git state, and test output from a local workspace through OAuth-protected read-only MCP tools, so TeleAgent retains full execution control.

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.

Quilt gives every AI agent line-level authorship in a shared Git checkout, so multiple agents work in one repo, and each commits only its own lines, with symbol-level claims that block collisions before any bytes change.

sharedoc-mcp is an MCP stdio server that lets AI agents publish, update, search, and revoke shareable Markdown documents as secret GitHub gists or self-hosted password-protected links with expiry, through eight MCP tools and a single interface.

The Token-Curated GitLab MCP Server: 80%+ Context Window Savings. Every time your agent fetches a pipeline with other servers, it wastes 1,600 tokens of avatar URLs, internal links, and HTML fluff. With @sumirati/mcp-gitlab, that drops from 1,840 to 190 tokens.

Enables AI coding agents to retrieve cited git-history explanations for files and tickets, compile a Team Engineering Contract from repository artifacts, and follow guided Understand/Build workflows over MCP stdio. It lets clients such as Grok, Claude Code, Codex, Kiro, and Cursor share the same tools for evidence-backed repository understanding.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Builds an Angular UI library and npm-links it into a consumer app, with support for Git workflows via mhdd24-cli.

An MCP server for interacting with Pagure git forges such as src.fedoraproject.org and pagure.io. It enables repository management, file browsing, and full pull request workflows including commenting and merging.

Code search for AI coding agents over MCP: hybrid retrieval, structural search and shared indexing across Git worktrees.