Add your description here
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file iflow_mcp_hritik003_linkedin_mcp-0.1.0.tar.gz.
File metadata
- Download URL: iflow_mcp_hritik003_linkedin_mcp-0.1.0.tar.gz
- Upload date:
- Size: 2.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1815f9944eb3e39cefc53189baa9b7f048b95940923eef3874382129d625a212
|
|
| MD5 |
7dd4c2cc2b66eeecc4b9d72113ba392c
|
|
| BLAKE2b-256 |
78ff85a0172259bb98388c2c2b092f2e039f89b2257984eeb7212972128ce6bb
|
File details
Details for the file iflow_mcp_hritik003_linkedin_mcp-0.1.0-py3-none-any.whl.
File metadata
- Download URL: iflow_mcp_hritik003_linkedin_mcp-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
32cbf5d1cad7bfc6a80f3d2cbbfd788be4e8bcd4a5f95df1d2a7a1afd1b68f89
|
|
| MD5 |
f31eb40ae9ea394e2ec11e76f1b2c545
|
|
| BLAKE2b-256 |
299877fed35a4822c930d57135e2fb043e4793ccd2cccf9d8ec5a40a194cd560
|