Yadulink / Documentation / MCP + ChatGPT

Turn ChatGPT into a sales copilot connected to Yadulink signals.

An MCP connector lets ChatGPT, when a compatible mode is available on your plan, work with authorized Yadulink data instead of manual exports.

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MCP + ChatGPT

First questions to ask

Start with diagnostic questions: who replies, where the sequence leaks, which accepted invitations never received a message, and which visitors deserve a follow-up.

MCP + ChatGPT

Trace decisions

Each recommendation should remain explainable: observed signal, fit, next action, and confidence level before execution.

Verified facts

What this documentation should make explicit.

Purpose

An MCP connector lets ChatGPT, when a compatible mode is available on your plan, work with authorized Yadulink data instead of manual exports.

Workflow proof

Start with diagnostic questions: who replies, where the sequence leaks, which accepted invitations never received a message, and which visitors deserve a follow-up.

Assistant prompt

With Yadulink MCP in ChatGPT, audit my forgotten LinkedIn opportunities and rank actions by impact, risk, and urgency.

Verification method

How to turn the guide into an operational test.

  1. 01 ChatGPT connection Enable connector or developer mode if your ChatGPT workspace provides it.
  2. 02 ChatGPT connection Declare the Yadulink MCP server with its remote URL.
  3. 03 ChatGPT connection Authorize only useful scopes: read, prioritization, sequences, or analytics.

Ask your preferred AI.

ChatGPT Claude Perplexity Codex

Docs linking

Guides to read next.

MCP

Set up Yadulink MCP with Claude, ChatGPT, and AI assistants

Connect Yadulink to Claude, ChatGPT, or an MCP-compatible assistant.

MCP OAuth

Yadulink MCP OAuth permissions: scopes, security, and control

Limit MCP permissions before letting AI act on your LinkedIn data.

AI prompts

AI prompts for Yadulink: prioritize leads, sequences, and LinkedIn signals

Ready-to-adapt prompts for running Yadulink with AI.