mcp-linkedin-post-engager-capture (mambalabsdev/mcp-linkedin-post-engager-capture) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 1 tool. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

mcp-linkedin-post-engager-capture

Enables capturing recent posts from LinkedIn profiles and company pages, including real reaction and comment counts and publicly visible commenters, without requiring a LinkedIn account, cookies, or credentials.

→ mambalabsdev/mcp-linkedin-post-engager-capture· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

mambalabsdev

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: APIFY_TOKEN. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 1 credential: APIFY_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
🔐 secretAPIFY_TOKEN
// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mambalabsdev/mcp-linkedin-post-engager-capture)](https://m8ven.ai/mcp/mambalabsdev/mcp-linkedin-post-engager-capture)
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commit: 0a9e9d9b514e54c361543f31be900ce75d1967f5
code hash: cd1d8a0734393b8bc7d970e06f87629b86dde8600cf1f84d054f4408bbb63297
view raw JSON →
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