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mambalabsdev

mcp-linkedin-post-engager-capture

by mambalabsdev

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
capture_linkedin_posts_and_commentersA

Point it at LinkedIn person profiles or company pages and it returns their recent posts as flat rows, with the real reaction and comment counts on every one, plus the commenters LinkedIn shows publicly. No cookies, no LinkedIn account, no credentials of any kind. One dataset carries three row types told apart by row_type: post, engager and notice, so filter on row_type before loading a table. post_id is the numeric activity URN and is stable across runs and across both permalink spellings, which makes it safe as a primary key and as a have-I-already-seen-this check. Read the limits before relying on the commenters: LinkedIn renders about ten top-level comments to a logged-out visitor whatever the real total, measured whole-run coverage was 3.7 percent, and roughly 30 percent of comment rows carry no timestamp. Reactor identities are not served to a logged-out visitor at all, so every post row carries the real reaction_count and reactors_status says unavailable_without_login. Every row carries degraded and degradation_reason: filter on degraded before you trust an absence. Requires an APIFY_TOKEN and consumes Apify credits. Read only.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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