LinkedInSAFE
A MCP server for LinkedIn to seamlessly apply for jobs🚀
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://smithery.ai/server/@Hritik003/linkedin-mcp)
A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.
This uses Unoffical Linkedin API Docs for hitting at the clients Credentials.
Features
- Profile Retrieval
Fetch user profiles using get_profile() function Extract key information such as name, headline, and current position
- Job Search
- Advanced job search functionality with multiple parameters:
- Keywords
- Location
- Experience level
- Job type (Full-time, Contract, Part-time)
- Remote work options
- Date posted
- Required skills
- Customizable search limit
- Feed Posts
- Retrieve LinkedIn feed posts using
get_feed_posts() - Configurable limit and offset for pagination
- Resume Analysis
- Parse and extract information from
resumes (PDF format) - Extracted data includes:
- Name
- Phone number
- Skills
- Work experience
- Education
- Languages
Configuration
After cloning the repo, adjust the `` accordingly
{
"linkedin":{
"command":"uv",
"args": [
"--directory",
"",
"run",
"linkedin.py"
]
}
}
Usage
I have been testing using MCP-client and found as the best one for testing your MCP-Servers.
b7dfce2dc012OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add linkedin-mcp --env LINKEDIN_PASSWORD=${LINKEDIN_PASSWORD} -- uvx linkedin-mcp{
"mcpServers": {
"linkedin-mcp": {
"command": "uvx",
"args": [
"linkedin-mcp"
],
"env": {
"LINKEDIN_PASSWORD": "${LINKEDIN_PASSWORD}"
}
}
}
}Exposed tools (2)
2 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
get_feed_posts | read | |
get_profile | read |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
Gates applied: no_behavioural_pass, no_license.
b7dfce2dc012full audit observations/trust-audit/mcp-server/hritik003__linkedin.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | b7dfce2dc012 | SAFE | B | 89 | first audit |
Questions
What is the LinkedIn MCP server?
A MCP server for LinkedIn to seamlessly apply for jobs🚀
What tools does LinkedIn expose?
2 in total: 2 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is LinkedIn safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does LinkedIn need?
It reads LINKEDIN_PASSWORD from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does LinkedIn run?
It speaks stdio, so it runs as a local process your client starts. It is published on PyPI as linkedin-mcp.
How current is this page?
The grade is for one exact copy of the source (b7dfce2dc012), read on 2026-10-08. The repository is watched and re-audited when it changes.