Back to MCP Trust Indexm8ven
C
Emerging
74/100
9 days ago

MCP Server for LinkedIn

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

→ bartest5/stickerdaniel_linkedin-mcp-server· 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.

How we verified

Code 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

bartest5

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
✅
17 tools verified — handlers match their declared behaviour
14 read-only tools verified — handlers contain no write/delete/exec
✅
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.
// 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.
configPLAYWRIGHT_BROWSERS_PATH
configLINKEDIN_TRACE_MODE
configLINKEDIN_DEBUG_TRACE_DIR
configLINKEDIN_DEBUG_STABILIZE_NAVIGATION
configPYTEST_CURRENT_TEST
configLINKEDIN_MCP_CHECK_FOR_UPDATES
configLINKEDIN_MCP_RUNTIME
configXDG_CONFIG_HOME
configLINKEDIN_DEBUG_SKIP_CHECKPOINT_RESTART
configLINKEDIN_DEBUG_BRIDGE_EVERY_STARTUP
// quality suggestions

All four hints declared on every tool

17/17 tools missing one or more hints — close_session (missing: readOnlyHint, idempotentHint, openWorldHint); get_company_profile (missing: destructiveHint, idempotentHint); get_company_posts (missing: destructiveHint, idempotentHint), +14 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

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/bartest5-stickerdaniel-linkedin-mcp-server-1hk01b)](https://m8ven.ai/mcp/bartest5-stickerdaniel-linkedin-mcp-server-1hk01b)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: b433bd8d98f8380093dee72bcb7039854b28ca77
code hash: 7bc64ae50d0030167d286881743c64e61570bc27a5763e28912c2f16d9f25612
verified: 8/13/2026, 7:52:57 AM
view raw JSON →
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