Jemmo MCP — Source from Claude, ChatGPT, Cursor

01 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.

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.

Compatible with every AI

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

Zero code

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

The tool sorts, scores and justifies. The consultant qualifies and recommends.

02 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 search as an MCP server: search talent, follow a running search, pick the organisation. Your AI sees these tools and uses them whenever your request calls for it.

The MCP flow

You talk to your AI in natural language.

1The AI discovers the tools exposed by Jemmoauto

2It picks and calls the right toolsMCP

3Jemmo returns ranked, justified profilesinstant

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.

Your access stays tied to your Jemmo account and your organisations.

Your MCP endpoint

https://mcp.jemmo.io/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, follows the running search, picks the right organisation — from a single prompt.

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

cursor · jemmo orchestratedorchestration

YouRun the search again in Lyon, for the Acme organisation.ClaudeI call list_organizations then search_talents with your new criteria.JemmoNew shortlist for Acme, ranked by relevance.

03 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, find 3 profiles in the pool."

04 Comparison

MCP vs manual integration.

Hand us a hire

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

05 Go further

Related features.

Feature

The Jemmo MCP,
sourcing inside your AI.