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MCP verified MIT Self-run

Linkedin Mcp Pro

mcp-horizonbymuneeb-linkedin-mcp-pro · by horizonbymuneeb

LinkedIn API for AI agents — 54 MCP tools, ban-safety gates, web UI, install wizard. No Voyager posting. MIT.

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Install

$ agentstack add mcp-horizonbymuneeb-linkedin-mcp-pro

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

LinkedIn MCP Pro

> LinkedIn automation for AI agents — 54 MCP tools, ban-safety gates, full web dashboard, MIT licensed.

[](https://github.com/horizonbymuneeb/linkedin-mcp-pro) [](https://github.com/horizonbymuneeb/linkedin-mcp-pro/releases) [](https://www.python.org/) [](LICENSE) [](https://horizonbymuneeb.github.io/linkedin-mcp-pro/)

📚 Full documentation · Quickstart · API reference · MCP tools


What is it?

LinkedIn MCP Pro is a Model Context Protocol server that gives any AI agent a complete LinkedIn workflow:

  • ✍️ Compose posts (manual / AI / template)
  • 📅 Schedule posts via cron-like queue
  • 💬 Engage with comments, DMs, mentions
  • 🔍 Search jobs with match scoring + auto cover letter
  • 📊 Analytics with engagement heatmaps + A/B testing
  • 🛡 Ban-safety gates on every write path

It ships with a unified web dashboard (15 pages) and 10 CLI commands.


⚡ Quick start

# Install
pipx install git+https://github.com/horizonbymuneeb/linkedin-mcp-pro.git@v2.3.2

# Start dashboard
linkedin-mcp-web --host 0.0.0.0 --port 8080

# Or run as stdio MCP server for AI agents
linkedin-mcp-pro serve

Open for the dashboard, or wire your agent:

linkedin-mcp-install add claude-desktop    # or cursor, cline, windsurf, zed, ...

Full guide: Quickstart


📊 What's inside

| Surface | Count | |---------|-------| | MCP tools | 54 (across 10 families) | | REST endpoints | 60+ | | CLI commands | 10 | | Dashboard pages | 15 (unified Linear+LinkedIn design system) | | Tests | 721 passing |


🖼 Dashboard preview

The dashboard at / is a unified shell — same sidebar, topbar, design tokens across every page:

  • Workspace: Home, Drafts, Schedule, Engage, Jobs, Analytics
  • Account: Connect, Cookies, Profile
  • Configure: LLM, Safety, Audit, Install, Settings, Templates

Design system: Linear dark mode (#5e6ad2 accent) + LinkedIn content cards (#0a66c2 brand).

See Dashboard tour for a walkthrough.


🤖 Agent support

Works with any MCP host:

  • Claude Desktop (macOS / Linux / Windows)
  • Claude Code
  • Cursor
  • Cline (VS Code)
  • Continue.dev
  • Windsurf
  • Zed
  • Open WebUI
  • LibreChat
  • LobeChat

Full setup: Agent setup guide


🛡 Safety

Every write path runs through a ban-safety gate:

  • Daily action caps (per-account configurable)
  • Velocity windows (no more than N actions per hour)
  • Content pattern checks (LinkedIn spam triggers blocked)
  • Duplicate detection (no identical posts within 7 days)
  • Rate-limit backoff when LinkedIn throttles

The gate is always on — there is no --unsafe flag. See safety.md.


📦 What ships

linkedin-mcp-pro/
├── linkedin_mcp/                # Core package
│   ├── static/                  # 16 HTML pages + unified shell
│   ├── jobs/                    # Jobs module (CV, search, apply, tracker)
│   ├── tools/                   # 17 tool modules
│   ├── cli*.py                  # 10 CLI entry points
│   └── web.py                   # FastAPI server
├── tests/                       # 721 tests
├── scripts/
│   └── e2e_test.py             # Full E2E smoke test (64 checks)
├── docs/                        # MkDocs Material documentation
├── mkdocs.yml                   # Docs build config
├── install.sh / install.ps1     # One-line installers
└── README.md                    # This file

🧪 Development

git clone https://github.com/horizonbymuneeb/linkedin-mcp-pro.git
cd linkedin-mcp-pro
pip install -e .
pytest tests/                    # 721 tests
python scripts/e2e_test.py       # E2E smoke (64 checks)

# Build docs locally
pip install mkdocs mkdocs-material pymdown-extensions
mkdocs serve                     # → http://127.0.0.1:8000

📄 License

MIT © horizonbymuneeb

See [LICENSE](LICENSE).


🔗 Links

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.