linkedin-mcp
Related Servers
Alternatives to linkedin-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables Claude AI to interact with LinkedIn through browser automation, including profile reading, people and job search, company research, post publishing, and profile editing.MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.179,695 PyPI3,456Apache 2.0
- AlicenseAqualityBmaintenanceLets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.10037 npm1MIT
- FlicenseAqualityDmaintenanceEnables AI assistants to read and edit LinkedIn profiles including headline, about section, work experience, education, and skills through OAuth 2.0 authentication.16-
- AlicenseBqualityBmaintenanceEnables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.19MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural language interaction with LinkedIn, including profile retrieval, job searching, messaging, and post engagement.3Apache 2.0
TDQS
Scored across 41 tools
Most tools have clearly distinct purposes, but some overlap could cause confusion (e.g., linkedin_get_recent_posts vs linkedin_get_feed, or multiple search tools). However, descriptions are sufficiently detailed to disambiguate in most cases.
All tools follow a uniform linkedin_verb_noun convention in snake_case, making it easy to infer function from name. No mixing of styles or inconsistent patterns.
41 tools is on the high side but justified by LinkedIn's broad feature set covering profile management, search, messaging, and posts. However, some tools (e.g., many individual add_* tools) could potentially be combined without sacrificing clarity.
Covers most core LinkedIn operations: profile CRUD, search, messaging, posts, and connections. Minor gaps exist such as no tool to delete or update a post, but the overall surface is comprehensive.