mcpField
C
Carrerlift

Carrerlift

Remote
carrerlift.inBusiness & Marketing1Updated 4w ago

About Carrerlift

Carrerlift is an MCP server for finding current Indian jobs and internships, plus international intern and new-graduate roles. Its tools search listings and retrieve application details for people exploring opportunities through AI assistants.

Key features

  1. 01Live Indian job and internship search
  2. 02Filters for keywords, city, and job type
  3. 03Search for international intern and new-grad roles
  4. 04Full listing and application details
  5. 05Current city and job-type filters

Use cases

  1. 01Find recent React internships in Bangalore
  2. 02Search remote data analyst roles for freshers
  3. 03Explore US ML internships at large tech companies

MCP support

Exposes job-search and listing-detail tools to MCP clients through a remote Streamable HTTP endpoint. The service is read-only and requires no sign-up or API key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.carrerlift.in/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

4
ParameterTypeRequiredDescription
pageintegerNo1-based page number. Default 1.
typeenumNoOnly when the user asked for a specific type.Internship | Full-time | Full-time Internship | Apprenticeship
querystringNoKeywords: role, skill or company, e.g. "data analyst" or "react". Omit to browse the newest.
locationstringNoCity, e.g. Bangalore, Delhi NCR, Pune, or Remote. Omit for anywhere.

Details

From the project README

Carrerlift MCP

Fresh Indian jobs and internships, plus international new-grad and intern roles, inside any AI assistant that speaks the Model Context Protocol.

Ask Claude, ChatGPT, Cursor or VS Code things like:

  • "Find React internships in Bangalore posted this week."
  • "Any remote data analyst roles for freshers?"
  • "Show me ML internships in the USA at big tech companies."
  • "Open this listing and tell me how to apply: carrerlift.in/jobs/…"

The assistant searches carrerlift.in live and answers with real listings, each linked to its page.

Endpoint

https://www.carrerlift.in/api/mcp

It's free, needs no sign-up or API key, and is read-only.


Tools

ToolWhat it does
search_jobsSearches live jobs and internships in India, newest first. You can filter by keywords (role, skill or company), city and type (Internship, Full-time, Full-time Internship, Apprenticeship). Returns up to 24 per page.
get_jobReturns one listing in full: the complete description, pay, and how to apply (apply link, HR email or WhatsApp, whichever the employer gave). Takes a slug or a carrerlift.in/jobs/… link.
search_global_jobsSearches internships and new-grad roles abroad, mostly in the USA. The feed is merged from community-maintained GitHub job lists and refreshed a few times a day. You can filter by intern_usa, newgrad_usa, intern_intl, newgrad_intl, and by field (Software, AI/ML/Data, Hardware, Quant, Product, Other).
list_job_filtersLists the cities and job types the Indian listings currently cover.

Indian listings are refreshed every 30 minutes. Closed listings with an apply link are left out.


Connect

Claude (claude.ai and the desktop app)
  1. Go to Settings → Connectors → Add custom connector.
  2. Enter the name Carrerlift and the URL https://www.carrerlift.in/api/mcp.
  3. Enable it in a chat from the tools menu.
Claude Code
claude mcp add --transport http carrerlift https://www.carrerlift.in/api/mcp
ChatGPT
  1. Turn on Settings → Apps & Connectors → Advanced → Developer mode.
  2. Under Settings → Apps & Connectors → Create, add https://www.carrerlift.in/api/mcp and set authentication to No authentication.
Cursor

Add this to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "carrerlift": {
      "url": "https://www.carrerlift.in/api/mcp"
    }
  }
}
VS Code

Add this to .vscode/mcp.json:

{
  "servers": {
    "carrerlift": {
      "type": "http",
      "url": "https://www.carrerlift.in/api/mcp"
    }
  }
}
Clients that only run local (stdio) servers

Bridge to the remote endpoint with mcp-remote:

{
  "mcpServers": {
    "carrerlift": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://www.carrerlift.in/api/mcp"]
    }
  }
}
Try it with curl
curl -s https://www.carrerlift.in/api/mcp \
  -H 'content-type: application/json' \
  -H 'accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_jobs","arguments":{"query":"python","location":"Pune"}}}'

Details

  • Transport: Streamable HTTP. The server is stateless and answers in JSON (no sessions, no SSE stream). GET returns 405.
  • Privacy: there's no login and no personal data. The server doesn't ask for or store anything about you. Links carry a utm_source=mcp tag so we can count visits that come from assistants.
  • Limits: results are paged, and paging stops at page 20. Please use the filters instead of crawling.
  • Where the data comes from: listings are collected and cleaned by Carrerlift. The international feed credits its source lists on carrerlift.in/global.

Feedback

Found a bug or have a tool request? Open an issue, or write to [email protected].

This repository holds the documentation and the MCP Registry manifest (server.json). The server runs as part of carrerlift.in.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.