Linkedin Mcp vs X Use

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Linkedin Mcp logo
🌐 Social Media
X Use logo
X Use
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🌐 Social Media
SummaryLinkedIn for AI assistants over an authenticated browser session — profiles, people/job/company search, feed, messaging, and gated writes (connect, message, post, react, comment) returned as structured JSON, with built-in rate limiting. npx -y linkedin-mcp-tools.Multi-account X (Twitter) automation with no X API key: it drives a real Chrome session using your own cookies. 33 tools for posting, replies, keyword search, engagement, single-tweet reads that return images as MCP content, per-account personas, proxy pools, and a persistent scheduled-action queue. Draft-approval mode is on by default, so write tools return a draft and nothing goes live until you call approvedraft. Listed on the official MCP Registry. Install: pip install x-use-mcp, then x-use init and x-use mcp.
Quality signal45/100 (Fair)49/100 (Fair)
Install pathnpx · highnpx · high
Engagement 2 0 0 7 1 0 0 153
ToolsUses a stealth undetected Playwright Chrome to solve Cloudflare challengesDirect API POST calls for write actions with structured status responsesSafety layer with pacing, daily action budgets, warmup ramp, and circuit breakerLocale-independent data extraction from LinkedIn's Voyager APIPersistent browser session with cookie and challenge clearance across restartsLocal session storage with strict file permissions and no external token exposureNot listed yet
Verified / officialNoNo
Open listingView Linkedin McpView X Use
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