Naukri MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Naukri MCP ServerFind Data Analyst jobs in Chennai for freshers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Naukri MCP Server š
A Python MCP (Model Context Protocol) server that provides job-search tools, designed to connect with Gemini Spark as a custom Connected App.
Architecture
Gemini Spark (gemini.google.com)
ā
ā MCP protocol over HTTP
ā¼
Your MCP Server (deployed on Render)
ā
ā (future: scraping / API)
ā¼
Naukri.comRelated MCP server: JobSpy MCP Server
Available Tools
Tool | Description |
| Search for job listings by role, location, and experience level |
| Get detailed information about a specific job |
| See trending/in-demand roles in a city |
| View your Naukri profile summary |
Note: Currently uses demo data. Real Naukri integration can be added later.
Quick Start (Local)
1. Create a virtual environment
python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate2. Install dependencies
pip install -r requirements.txt3. Run the server
python server.pyThe server starts at: http://localhost:8000/mcp
4. Test with the MCP CLI (optional)
# In a separate terminal
mcp client http://localhost:8000/mcpThen try calling a tool:
> call search_jobs {"query": "Data Analyst", "location": "Chennai"}Deploy to Render
Option A: One-click deploy (Blueprint)
Push this repo to GitHub
Go to Render Dashboard ā New ā Blueprint
Connect your GitHub repo
Render will detect
render.yamland set everything up automaticallyYour MCP URL will be:
https://naukri-mcp-server.onrender.com/mcp
Option B: Manual setup
Push this repo to GitHub
Go to Render Dashboard ā New ā Web Service
Connect your GitHub repo
Configure:
Build Command:
pip install -r requirements.txtStart Command:
python server.pyPlan: Free
Deploy!
ā ļø Free tier services spin down after inactivity. The first request after idle may take ~30 seconds.
Connect to Gemini Spark
Once deployed, connect your MCP server to Gemini:
Open gemini.google.com on a computer
Go to Settings ā Connected Apps (or Personal Intelligence)
Look for "Custom apps for Spark" or "Other apps"
Click "Add a custom app"
Enter:
Name:
Naukri Job SearchMCP Server URL:
https://naukri-mcp-server.onrender.com/mcp
Save and start chatting!
Example prompts
"Find Data Analyst jobs in Chennai for freshers"
"What are the trending tech roles in Bangalore right now?"
"Show me details for job JOB-123456"
"Review my Naukri profile and suggest improvements"
Project Structure
naukri_mcp/
āāā server.py # Main MCP server with tools
āāā requirements.txt # Python dependencies
āāā Procfile # Start command for Render
āāā render.yaml # Render deployment blueprint
āāā .gitignore # Git ignore rules
āāā README.md # This fileTech Stack
MCP Python SDK ā FastMCP with Streamable HTTP transport
Render ā Free-tier cloud deployment
Python 3.12+
Roadmap
Demo MCP server with mock data
Real Naukri job search (web scraping)
Profile sync from Naukri
Job application tracking
Resume analysis tool
Interview prep tool
License
MIT
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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