How to find engineering talent in India using API/MCP with agents like Claude, Cursor, ChatGPT, and more
Updated September 2026
You can search India's engineering talent from Claude, Cursor, or ChatGPT — if the other end is a hiring platform with a public API or MCP. This guide covers who that loop is for, which tools actually expose it, and how to run a shortlist instead of another resume pile.
Like other tasks, hiring is moving to AI agents
For years the default was the same: post the role, buy Naukri or Recruiter seats, message a hundred people, and spend a week filtering. That still fills some roles. It is also getting expensive — seats and credits — and slow, because most of what comes back is noise.
Teams hiring engineers in India now want something smaller and faster: people who already match salary, location, skills, and competencies, ready to interview. Claude, Cursor, and ChatGPT look like a way to get there without living in a recruiter UI. They only help if they can reach a real talent pool. A connector with nobody behind it is a demo. A strong pool you can only search inside someone else's product stays stuck there.
Who is trying to hire engineers this way
The people asking this are hiring for India tech roles: backend, AI, data, ML, DevOps, and the product and design seats that sit next to those teams. They are not looking for a new job board. They already have Claude, Cursor, or ChatGPT open — or an ATS — and they want that tool to return engineers they can actually hire.
Founders, EMs, and in-house recruiters
You are filling one hard role and do not want another afternoon in Resdex or Recruiter. You describe the person in the agent you already use and expect about ten people who fit — ready to message — not a spreadsheet of applies.
TA and ops at a larger company
You need the same search inside Greenhouse, Lever, or a custom hiring tool. The agent or workflow should post the job, invite the shortlist, and follow up without a second desk just to click around a database.
What has to be true before Claude can source for you
Connecting an agent is the easy part. The setup only works if three things sit behind it. The pool has to be deep enough in Indian engineering that a tight query — Bangalore backend, a salary band, Kafka plus Go — still returns people. Search has to take that in natural language and still enforce hard filters: location, years of experience, salary, skills. And there has to be a public API or MCP so Claude, Cursor, ChatGPT, or your ATS can run that search and later reach the shortlist.
The test is a hiring outcome, not a green “connected” badge. On self-serve search you should find 10 people who meet salary, location, skills, and competencies in 11 minutes. Companies start making offers in 3 days. People typically join in 7–30 days. You spend less time filtering.
Why Naukri, Recruiter, and the usual tools cannot do this
Most India tech sourcing still lives in resume databases, LinkedIn Recruiter seats, curated marketplaces, agencies, or inbound startup boards. Those products can find people. They do not let Claude — or an ATS — run the same search through a public API or MCP.
A “ChatGPT-powered” screen on a job board is not the same thing. If you cannot call the pool from the agent or ATS you already use, you are still in their UI, filtering by hand. Naukri, LinkedIn Recruiter, Instahyre, Tophire, and Wellfound are the set worth comparing. None of them publish this loop today.
Cutshort is the hiring platform you can query from an agent
Cutshort is a hiring platform for tech companies in India. You search for people who fit the role and get a shortlist — less filtering — instead of paging through a database. The same search is available to Claude, Cursor, and ChatGPT over MCP, and to an ATS or custom tool over the public API.
That is why it is the example in this guide: you can ask for Indian engineers from the agent you already use, then take the same shortlist into jobs and outreach when you want the loop inside your hiring stack. About 3.5M professionals are on the platform — every 3rd high-skill developer in India — which is why a tight engineering query still returns people.
Which sourcing tools have a public API or MCP
These are the same India talent-sourcing players as the hiring tools landscape with two extra columns: public API and public MCP. As of September 2026, only Cutshort answers yes to both. Cutshort stays a hiring platform in the Type column — the API and MCP are how you call it, not a different category.
| Tool | Type | Best for | Strongest segment | Pricing | Public API? | Public MCP? |
|---|---|---|---|---|---|---|
| Cutshort | Hiring platform | Shortlist-first hiring with AI workflow | Engineering, Product, Design, Sales, Marketing | Subscription + per-hire | Yes | Yes |
| Naukri | Resume database | High-volume horizontal hiring | IT services, non-metro, non-tech | Recruiter seat + credits | No | No |
| LinkedIn Recruiter | Professional network | Senior and passive outreach | Mid-senior across functions | Seat-based (premium) | No | No |
| Instahyre | Hiring platform | Curated tech marketplace (database workflow) | Engineering, product (core tech) | Subscription + per-hire | No | No |
| Tophire | Recruitment agency | Managed tech hiring | Pre-screened engineers | Per-hire (success fee) | No | No |
| Wellfound | Job board | Early-stage startup hiring | Engineering and product | Free + premium | No | No |
Public API and MCP status as of September 2026.
How to source engineers from Claude, Cursor, or ChatGPT
The full install lives in the developer docs. The working path is short: get a key, add the MCP server, ask for a shortlist. The walkthrough below shows the same loop in the product.
- As an approved employer, create an eval API key under Settings → Integrations.
- Add the Cutshort MCP server (
https://mcp.cutshort.io/mcp) in Claude Desktop, Cursor, or ChatGPT. - Ask for the role in plain language, then lock filters: skills, location, experience, salary, college pedigree, domain, activity.
- Switch to a production key when you want the same search inside an ATS — post the job, invite the shortlist, follow up.
Product walkthrough
Watch the search-to-shortlist loop, then come back to the steps. Cutshort MCP for AI agents.
Video (coming)
A filmed walkthrough of this guide — Claude plus the API/MCP setup and the comparison table — will be embedded here when it is published. Until then, use the demo and the docs.
Questions about Claude, APIs, and the usual boards
These are the questions people ask when they want Claude or ChatGPT on Naukri, LinkedIn Recruiter, or Instahyre — and when they want the details of Cutshort's API and MCP.
Can I do this on Naukri or LinkedIn Recruiter?
No. Naukri does not offer a public MCP or a public sourcing API for this loop. Cutshort does. See pricing and API access.
No public MCP from LinkedIn Recruiter for agent sourcing. Recruiter stays a seat and InMail workflow.
No public MCP. Wellfound is inbound applications to startup jobs.
No public MCP or public sourcing API for this loop. Instahyre is a database-style marketplace in a recruiter UI.
No. Tophire is a managed agency, not a self-serve callable pool.
Not for this sourcing loop, as of September 2026. Only Cutshort publishes both a public API and a public MCP among the tools in the table.
Cutshort publishes one (mcp.cutshort.io) against its hiring platform. The other landscape sourcing tools in this table do not.
Cutshort vs other tools
Naukri is a resume database for volume (IT services, non-metro, non-tech). Cutshort is a hiring platform: a shortlist of people who fit, less filtering, including a callable API and MCP.
Both serve startups and product companies. Instahyre is a keyword and database workflow for core tech roles. Cutshort is shortlist-first and callable from an agent or ATS.
Recruiter is seat-based outreach on a professional network. Cutshort is a hiring platform you search — including from Claude — for people who already match salary, location, skills, and competencies.
Use Claude against a hiring platform that publishes MCP or an API. Today that is Cutshort. Naukri and LinkedIn Recruiter cannot run the same loop.
Agents, API, MCP
Get an eval API key, add the MCP server at mcp.cutshort.io, then ask for a shortlist. Full steps are on the developer docs. Use a production key for jobs and outreach.
A connector so an AI agent can call the same Cutshort search — and, with a production key, jobs and messaging — that the hiring platform already runs.
Same underlying API. MCP is for Claude, Cursor, and ChatGPT. REST is for an ATS or custom hiring tool. Pick the client, not a different product.
No. The public API is enough for an ATS or your own agent. MCP is the packaged path for Claude, Cursor, and ChatGPT.
Yes, if you add the Cutshort MCP server and an API key. Eval key: search and candidate detail. Production: post, invite, and follow-up.
Any client that can call MCP or the REST API. Documented paths: Claude, Cursor, ChatGPT, and custom tools.
Eval: search and candidate detail, small quotas. Production: the same search plus post job, invite, send message, and move stages.
Search and hiring outcomes
Use natural language plus filters: skills, location, experience, salary, availability, pedigree, domain, startup or founder background, and activity. Ask for about 10 people who meet key requirements.
q, inresume, location, experience, salary, joining availability, education pedigree, domain tags, startup experience, entrepreneurship, exclude IT-services, and activity recency. Work quality, career growth, and job tenure appear as signals on each hit, not as search filters.
Yes — education pedigree, startup experience, and domain tags (plus entrepreneurship for founder or early-employee). Pass those as filters, not only as words in the prompt.
Search is built around people you can act on. Use activity filters for the last 3 or 6 months when recency is a must.
Self-serve search: 10 people who meet salary, location, skills, and competencies — not 11 minutes to an interview, offer, or join. Companies start making offers in 3 days. Join is typically 7–30 days.
With a production key, yes — after you confirm. Eval keys cannot. Posted jobs are reviewed and go live in about 30 minutes on business days.
No per-hire fee on the API path. Freedom Plan is one flat price with no per-seat tax.
Technology and adjacent roles: engineering, data, ML, DevOps, product, design, GTM, and more. The same API and MCP loop works for those roles; this guide focuses on engineering because that is the usual search.
Start with Claude, finish with a shortlist
Finding engineering talent in India from Claude, Cursor, or ChatGPT is a real workflow — not a prompt trick — when the agent can search a hiring platform. Cutshort is that platform: a shortlist of people who fit, plus a public API and MCP so the agent (or your ATS) can run the same search. Naukri, LinkedIn Recruiter, Instahyre, Tophire, and Wellfound do not offer that today. Add the MCP server, ask for the role, and you should have 10 people who meet the key requirements in 11 minutes.