"A search for finding GitHub users on LinkedIn" matching MCP servers:

Lets AI agents publish posts to personal profiles or administered company pages, comment on posts, list recent posts, and retrieve analytics such as impressions, reactions, comments, shares, and clicks.

LinkedIn Ads MCP server with full read/write campaign management, Ad Library competitive search, and Cloud Run team deployment.

MCP server for the GitHub REST API: issues, PRs, repos; read always on, write env-gated.

Enables AI agents to authenticate with LinkedIn via OAuth, look up profiles and organizations, create and manage posts, comments, reactions, and media uploads, and handle ad campaign management, all with dry-run previews for write operations.

Enables AI assistants to securely search your LinkedIn network, contacts, and DMs to find warm leads, intro paths, and hidden opportunities.

An MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

The LinkedIn API and MCP server for AI agents: search, connect, message and enrich on accounts you own, with limits enforced on our server. 20,000+ LinkedIn accounts run on this stack, and under 1% of them have ever been restricted.

A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.

MCP server for the LinkedIn Marketing API — query campaigns, performance, and Lead Gen Forms from Claude in plain English. 19 read-only tools covering ad accounts, campaigns, creatives, performance analytics, demographics, video analytics, budget pacing, period comparisons, conversions, Lead Gen Forms, audiences, and targeting facets. Built for B2B paid social teams.

Enables AI agents to analyze public GitHub repositories directly through tools for repo health scoring, recent commit summaries, good first issue discovery, and semantic Q&A over docs and issues.

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

Released 3.0.0: 22 MCP tools, guided offline setup, local stdio, Chrome and manual login. No hosted deployment or job-research brief. Writes need opt-in, reviewed preview and human approval. Unofficial; provider compatibility, first-use cohorts, coordinated erasure and Windows privacy proof remain unverified. No mandatory paid service.

Enables autonomous AI agents and developers to interact with the GitHub REST API for repositories, pull requests, issues, actions, releases, tags, and user/org data through MCP tools. It uses token-efficient response summaries and optional 3-tier read-only safeguards to keep interactions safe and context-window friendly.

Enables AI assistants to search LinkedIn Sales Navigator contacts and accounts by driving a real logged-in browser and capturing Sales Navigator's own search API responses.

MCP server that wraps GitHub REST API to allow AI agents to search repositories, get repository details, list issues, and read READMEs.

Universal LinkedIn MCP server for profile editing, rich posting (media, polls), messaging threads, network growth, and analytics with stealth browser automation and strict account guardrails.

github-projects-mcp

Provides LinkedIn automation via a real browser session using your own cookie, enabling profile, company, job, and post search and reading, plus sending messages and connection requests with rate limiting.