LinkedIn MCP Assistant
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Alternatives to LinkedIn MCP Assistant
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- AGPL 3.0
- FlicenseNot gradedqualityCmaintenanceEnables AI-powered LinkedIn content creation, profile and company analytics, lead generation, and connection request automation through MCP tools.-
- FlicenseNot gradedqualityCmaintenanceEnables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.-
- AlicenseNot gradedqualityAmaintenanceMCP for what few things LinkedIn allows via API462AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI assistants to interact with LinkedIn, including job search, profile viewing, resume/cover letter generation, and application tracking.MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to access and interact with LinkedIn data—profiles, messaging, jobs, companies, and more—via MCP, with remote or local deployment.222529MIT
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose: profile retrieval, post retrieval, post generation, publishing, scheduling, refreshing, URL setting, and chat analysis. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., generate_linkedin_post, refresh_linkedin_profile). The naming is predictable and uniform, with the only minor outlier being publish_twitter_post, which still adheres to the same pattern.
With 10 tools, the set is well-scoped for a LinkedIn assistant. It covers essential operations without being overwhelming or too sparse. Each tool earns its place.
The tool set covers the core LinkedIn workflows: profile retrieval, post listing, generation, publishing, scheduling, refreshing, and interactive chat. The inclusion of a Twitter publishing tool is a slight extension but does not create a gap in LinkedIn functionality.