"GitHub Copilot" matching MCP servers:

Connects your LinkedIn professional profile to AI assistants (Claude, GitHub Copilot) via LinkedIn's official Member Data Portability API, enabling read-only access to résumé data, activity, and recent changes.

Official MCP server for twitterapi.io — Twitter/X data access (search tweets, users, followers, replies, trends) via Claude Desktop, Cursor, VS Code Copilot, or any MCP-compatible client. 12 read-only tools, stdio transport.

Enables users to look up a person's public GitHub, Bluesky, personal site, Substack, and X profiles from their full name and company domain, with status and confidence per platform and no emails or phone numbers.

Generates multi-platform release announcements (X, Reddit, GitHub profile, awesome-list, MCP directory) and a publish-readiness checklist for any public GitHub repository.

Lets Claude or any MCP client publish signed, plain-text commits to /dev/null on your behalf, using an SSH key already on your GitHub account, without any login. It also reads public user profiles and commits.

Enables querying GitHub repos and stats, and managing DEV.to articles (list, create, update) through natural language.

A headless local stdio server that gives an MCP-compatible assistant durable relationship memory for LinkedIn contacts — resumable ingestion into SQLite, source-backed labels, organizations, opportunities and follow-ups, plus revision-checked draft preparation held in an outbox. It enables evidence-based classification and reply drafting from your own approved LinkedIn API access without any automatic sending, browser automation, or telemetry.

Connects Claude to read-only GitHub activity so it can draft LinkedIn posts in the user's own style, keeping a history of encrypted drafts and redacted site screenshots. The server itself never calls an AI, and handles authentication through OAuth 2.1 with PKCE.

Automates posting articles to Dev.to and sharing posts on LinkedIn via command-line, cron jobs, or Copilot sessions.

Enables models to fetch and compare aggregated hot lists from nine Chinese and global sources—Zhihu, Baidu, Toutiao, Bilibili, sspai, Wallstreetcn, V2EX, Hacker News, and GitHub Trending—through a single interface. Also offers CLI and Python library access plus per-source health checks.

Enables AI agents to submit GitHub repositories, create posts and comments, vote, search communities and posts, and retrieve post details through MCP tools, with repository metadata auto-filled and duplicate repo URLs deduplicated.

Enables users to submit, log, fetch, and analyze advocacy and community-program activities across Google GDE, Microsoft MVP, YouTube, Dev.to, Hashnode, GitHub, AWS, and other programs, with OAuth-secured and encrypted credential storage.

Enables AI assistants to search, read, and transcribe content across 14+ platforms — including GitHub, YouTube, Bilibili, Twitter/X, Reddit, Xiaohongshu, LinkedIn, and general web pages — through 42 tools with automatic URL-based platform detection.

Live X/Twitter and Reddit research. 10 read-only MCP tools, Google/GitHub sign-in. Free tier.

Enables ChatGPT to connect to LinkedIn via OAuth and perform authorized actions like posting, commenting, replying, and analyzing profile/content with user approval.

A Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.

Enables deployment of MCP servers over HTTP, providing ready-to-use tools for text processing, math calculations, and social media content generation, accessible to AI assistants like GitHub Copilot and Claude.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.