CONNECT YOUR LEAD DATA TO LLMS. NO EXPORTING. NO DELAYS.
GENERECT DELIVERS IT.
Most teams spend more time wiring up data than using it.
MCP pipes Generect’s lead intelligence (like job titles, firmographics, even custom signals) into your AI models in real time.
- Your Generect leads become AI-ready context
- LLMs get smart, targeted data on demand
- You save time and boost accuracy instantly
COMPARE THE WORKFLOW: MANUAL VS MCP PROTOCOL
FROM GENERECT TO YOUR LLM IN 3 SIMPLE STEPS
INTEGRATE
MCP into your LLM workflow (OpenAI, Claude, Mistral, etc.)
DEFINE
the lead data you want surfaced (enriched profiles, filters, signals)
PROMPT
the model, and the MCP auto-injects the right context every time
HOW TEAMS ARE GOING TO USE MCP
Here’s how real teams are using Generect + MCP in their AI workflows.
An LLM-powered sales bot fetches real-time Generect leads when reps ask, “Who should I reach out to today?”
No guesswork. No outdated lists.
An email tool uses Generect data to help the LLM write personalized intros based on live job titles, company size, and buyer intent.
Outreach that doesn’t sound generic.
A model scores incoming leads automatically, using Generect’s firmographic and enrichment data in real time.
Reps focus on leads that actually convert.
A support bot can pull up enriched contact info mid-chat using MCP.
“What’s this lead’s role?” — answered instantly.
LLM suggests new leads that match your top-performing customers, using Generect enrichment and MCP-injected context.
No more shooting in the dark.
A tool monitors email replies and triggers prompts like, “Is this person a match?”
The LLM checks Generect data via MCP and flags high-fit leads automatically.
BRING LEAD INTELLIGENCE INTO EVERY PROMPT
What if your LLM could:
Write custom outreach based on real titles and firmographics?
Recommend lookalike leads based on your top clients?
Pull live CRM data during a sales call?
Now it can, with MCP.
MCP (or Model Context Protocol) is a standard that lets LLMs securely pull in external data (like your Generect leads) right when they need it.
Generect uses MCP to make your enriched lead data instantly accessible to AI models like OpenAI, Claude, or Mistral. No syncing, no exporting.
You can power LLM prompts with real-time Generect data: write custom outreach, generate summaries, suggest leads, or score prospects, automatically.
Because MCP automates it: the right data gets pulled into your LLM in real time, so no more spreadsheets, no waiting, no copy-paste.
Not much. Generect gives you a simple API call. Plug it into your prompt pipeline and you’re good to go.
In many cases, yes. Instead of retraining your model, just feed it the right context using Generect + MCP.
Yes. You control the filters, fields, and volume of data included in the context. Only what you approve gets injected.
Any LLM that supports context injection via API: OpenAI GPTs, Claude, Mistral, and frameworks like LangChain or LlamaIndex.
Everything Generect knows you can get through MCP AI integration: email status, job titles, industries, company info, signals, tags, and more.
Yes. The Model Context Protocol standard follows strict access and security standards. All data is encrypted and authenticated through Generect’s API.
Absolutely. You can create AI agents that respond using fresh lead data, like a chatbot that knows your live pipeline.
Nope. The MCP open standard is designed to be fast and lightweight. It pulls only the data you need, on demand.
Yes. You can use a dev token and preview exactly how Generect’s data shows up in your LLM responses.
Go to liveapi.generect.com, grab your key, and follow the quickstart guide. You’ll be up and running in minutes
INJECT LEAD DATA LIVE.
Why export to a spreadsheet when your LLM can pull enriched lead data with MCP = job titles, signals, and more.