mcp-linkedin-post-engager-capture
Related Servers
Alternatives to mcp-linkedin-post-engager-capture
No user-submitted related servers found.
Related Servers
- AlicenseCqualityDmaintenanceEnables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.52MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to discover and fetch LinkedIn posts with engagement metrics (reactions, comments, shares) and author details, returning structured JSON per post.-
- AlicenseNot gradedqualityCmaintenanceEnables reading LinkedIn profiles into structured JSON using your own signed-in session, with no browser automation or API keys.MIT
- FlicenseNot gradedqualityDmaintenanceEnables extraction of comprehensive LinkedIn profile data including experience, education, skills, and contact information through browser automation. Requires manual LinkedIn credentials input and uses anti-detection measures for reliable scraping.5-
- AlicenseCqualityDmaintenanceEnables access to the Fresh Linkedin Profile Data API for scraping LinkedIn profiles, companies, posts, jobs, and other data through a variety of tools.39MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.19Apache 2.0
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity between tools. The purpose is clearly described.
The single tool name follows a descriptive verb_noun pattern and clearly indicates its action and target. Consistency is not a concern with only one tool.
A single tool is on the borderline of being too thin for a server, even if it encapsulates a complex workflow. The tool is comprehensive in scope but represents only one function under the server's 'engage' name.
The tool captures posts and commenters but explicitly lacks reactor identities and has limited comment coverage, despite the server name suggesting engagement capabilities. This leaves significant gaps in the stated purpose of engaging with LinkedIn content.