MCP Server for LinkedIn
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 asname,headline, andcurrent 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 <LOCAL_PATH> accordingly
{
"linkedin":{
"command":"uv",
"args": [
"--directory",
"<LOCAL_PATH>",
"run",
"linkedin.py"
]
}
}
Usage
I have been testing using MCP-client and found as the best one for testing your MCP-Servers.
Metadata
Release files for iflow-mcp_hritik003_linkedin-mcp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iflow_mcp_hritik003_linkedin_mcp-0.1.0.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iflow_mcp_hritik003_linkedin_mcp-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 kB
Release files / iflow_mcp_hritik003_linkedin_mcp-0.1.0.tar.gz
| Download URL | iflow_mcp_hritik003_linkedin_mcp-0.1.0.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1815f9944eb3e39cefc53189baa9b7f048b95940923eef3874382129d625a212
|
|
BLAKE2b-256 checksum How to use checksums |
78ff85a0172259bb98388c2c2b092f2e039f89b2257984eeb7212972128ce6bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.8
|
Release files / iflow_mcp_hritik003_linkedin_mcp-0.1.0-py3-none-any.whl
| Download URL | iflow_mcp_hritik003_linkedin_mcp-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
32cbf5d1cad7bfc6a80f3d2cbbfd788be4e8bcd4a5f95df1d2a7a1afd1b68f89
|
|
BLAKE2b-256 checksum How to use checksums |
299877fed35a4822c930d57135e2fb043e4793ccd2cccf9d8ec5a40a194cd560
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.8
|