C
Emerging
74/100
1 day ago

LinkedIn Data API MCP Server

Enables 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.

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.

How we verified

⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

BACH-AI-Tools

Source: Glama

Is this your MCP?

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: API_KEY
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.
🔐 secretAPI_KEYexport ="your_api_key_here"
// quality suggestions

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// 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.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/bach-ai-tools-bachai-linkedin-data-api-nfgbeu)](https://m8ven.ai/mcp/bach-ai-tools-bachai-linkedin-data-api-nfgbeu)
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commit: 4c345a78a4dc60ae856a8b0915b652a44693ce9f
code hash: c59b534937f7f000e83940e7832b932232971ec15f6465f76f83521467e6911f
verified: 8/18/2026, 3:17:37 AM
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