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CClarity LinkedIn MCP — Launch guide MCP Server
by Công Phan Huy
Low Risk9.7LocalRemoteNew
LinkedIn engagement, analytics, and publishing in Claude, ChatGPT, and Cursor for B2B marketers.
About
CClarity connects your AI assistant to your LinkedIn account so you can research engagement, plan content, and act on warm signals without leaving chat.
After OAuth login, an active subscription, and LinkedIn connection, you get tools for: who reacted or commented on your posts, post performance and viral benchmarks, profile viewers, outbound engagement history, followers, connection invitations, and publishing text posts. Profile, ICP, and writing-style context help assistants tailor outreach and content.
Read tools use synced snapshots (typically 12–24 hours behind LinkedIn). Publishing is live. Built for B2B marketers, founders, and creators doing social selling on LinkedIn.
Quick start: run `npx -y @cclarity-packages/cli@latest init`, restart your IDE, then say "Login me into CClarity".
Security Report
9.7
Low Risk9.7Low RiskValid MCP server (3 strong, 4 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Requires authentication · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1Login me into CClarity
- 2Who engaged with my LinkedIn posts this week?
- 3Show my post performance for the last 30 days
- 4Who viewed my profile recently?
- 5List my pending incoming connection requests
- 6Tool: get_who_engaged — People who reacted, commented, or replied on your posts
- 7Tool: get_viral_post_predictor — Benchmark your posts and score a draft against your history
- 8Tool: linkedin_post_publish — Publish a text post to LinkedIn (confirm required)
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