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Feature · 07 of 07

The Jemmo MCP, sourcing inside your AI.

The MCP — Model Context Protocol — is the open standard that lets any AI assistant call external tools. Connect Jemmo in 2 minutes: your AI sources across the FRK pool and 25M public profiles, in natural language, without leaving its window.

claude.ai · connecteur jemmolive
You
Find me 3 senior fullstack devs available within 2 weeks, and keep them in a shortlist.
Claude
I'm discovering the Jemmo tools via MCP — I call jemmo.search then jemmo.shortlist.
Jemmo
3 prioritized profiles added to your shortlist. Availability and market openness computed in real time.
What it does

One protocol. All your AIs.

The MCP standardizes how an AI discovers and calls tools. Jemmo exposes all of its sourcing behind that standard.

a.

An open standard

MCP (Model Context Protocol) is an open protocol for connecting AI assistants to external tools and data. No proprietary format, no lock-in.

b.

Compatible with every AI

Claude, ChatGPT, Cursor, Windsurf, and any MCP-compatible client. The same Jemmo endpoint works everywhere, with no adaptation.

c.

Zero code

You paste a URL into your AI's connector settings with your API key. No SDK, no IT department, no deployment.

How it works

From the protocol to your first shortlist

01.

What is an MCP?

The Model Context Protocol is a standard layer between an AI and external tools. Instead of coding one integration per tool, the AI discovers the available capabilities and calls them itself.

Jemmo exposes its sourcing — search, signals, shortlist, similar profiles — as an MCP server. Your AI sees these tools and uses them whenever your request calls for it.

The MCP flowYou talk to your AI in natural language.
1The AI discovers the tools exposed by Jemmoauto
2It picks and calls the right toolsMCP
3Jemmo returns a justified shortlistinstant
02.

Connect it in 2 minutes.

Get your MCP endpoint and API key from the Jemmo app, paste them into your assistant's connector settings. That's it.

API key per workspace, full audit, revocable at any time from the app.

Your MCP endpointhttps://app.jemmo.io/api/mcp
1Paste the URL into your AI's connectors
2Paste your API key — you're connected
03.

Your AI orchestrates Jemmo.

Once connected, your AI chains the Jemmo tools on its own: it searches, filters on signals, expands to similar profiles, builds the shortlist — from a single prompt.

You stay inside your work tool. No copy-paste, no tab switching.

cursor · jemmo orchestréorchestration
You
Expand to profiles similar to the best candidate and exclude the ones already contacted.
Claude
I call jemmo.similar then apply your exclusion rules.
Jemmo
8 new profiles close to the top match, 3 excluded (already in pipeline).
Where to use it

The same endpoint, everywhere.

The Jemmo MCP works in every compatible client. A few concrete examples.

Assistant

Claude & ChatGPT

Source in conversation from Claude Desktop or the ChatGPT connectors. Ideal for briefing in natural language.

"Find me a senior Lead Data in Paris, available within the month."
IDE

Cursor & Windsurf

Source without leaving your editor. Handy for tech teams that hire continuously.

"List 5 embedded Rust freelancers for the automotive project."
Agents

Your internal assistants

Connect the Jemmo MCP to your in-house agents. Sourcing becomes a capability of your internal workflows.

"For every open role in the ATS, pre-source 3 profiles."
Comparison

MCP vs manual integration.

CriterionManual integrationJemmo MCP
SetupCode + deploymentCopy-paste a URL
Supported AI clientsOne per integrationEvery MCP client
Tool discoveryDocumented by handAutomatic
Multi-tool orchestrationTo be codedThe AI chains on its own
MaintenanceOn every API changeTransparent
Go further

Related features.

Connect Jemmo to your AI in 2 minutes.

Copy the MCP URL, paste it into your assistant, authorize. 2-week free trial.