MCP
Set up Yadulink MCP with Claude, ChatGPT, and AI assistants
Yadulink MCP guide for connecting Claude, ChatGPT, or compatible assistants to LinkedIn searches, lists, priorities, and sequences.
Read the guide →Documentation
API, MCP, webhooks, n8n, Make, Zapier, and AI prompts: guides that turn Yadulink into an automation layer for LinkedIn signals.
Documentation overview
Review the API, MCP, webhook, no-code, and AI-assistant overview before opening the detailed setup guides.
Verified facts
Scope
API, MCP, webhooks, n8n, Make, Zapier, and AI prompts: guides that turn Yadulink into an automation layer for LinkedIn signals.
Coverage
The documentation hub groups 34 public guides, including Set up Yadulink MCP with Claude, ChatGPT, and AI assistants, Get started with the Yadulink AI agent for LinkedIn prospecting, Use Yadulink MCP with Claude, Use Yadulink MCP with ChatGPT.
Workflow bridge
The hub links setup guides to integrations, public API docs, MCP permissions, and LinkedIn signal workflows.
Verification method
Pick the surface
Start with API, MCP, webhook, no-code, or AI-assistant documentation based on the workflow to verify.
Check permissions
Read the relevant guide for OAuth, scopes, allowed actions, dry-run behavior, and logging expectations.
Connect the implementation
Move from the guide to the matching integration, feature, or public API page before implementing.
Public guides
MCP
Yadulink MCP guide for connecting Claude, ChatGPT, or compatible assistants to LinkedIn searches, lists, priorities, and sequences.
Read the guide →AI agent
Yadulink AI agent getting-started guide: target, offer, LinkedIn signals, human approvals, preview, MCP, and meeting measurement.
Read the guide →MCP + Claude
Guide for connecting Yadulink MCP to Claude or a Claude MCP client, with OAuth, permissions, and first sales prompts.
Read the guide →MCP + ChatGPT
Guide for connecting Yadulink MCP to ChatGPT or a compatible connector, then analyzing LinkedIn leads, sequences, and opportunities.
Read the guide →MCP + Codex
Yadulink MCP guide for using a compatible coding agent to audit SEO, sequences, workflows, and LinkedIn data.
Read the guide →MCP + Cursor
Guide for connecting Yadulink MCP to Cursor with project configuration, remote server setup, OAuth, prompts, and execution checks.
Read the guide →MCP + VS Code
Guide for adding Yadulink MCP to VS Code, choosing user/workspace config, managing server trust, resources, and sandboxing.
Read the guide →MCP + Perplexity
Guide for using Yadulink MCP in a Perplexity workflow or compatible client to verify LinkedIn signals and sources.
Read the guide →MCP + Gemini
Guide for framing a Yadulink MCP workflow with Gemini or a compatible client, with LinkedIn signals, scopes, and human control.
Read the guide →MCP + Grok
Guide for preparing a Yadulink MCP workflow with Grok or a compatible client while keeping context, signals, and validation under control.
Read the guide →MCP + Claude Code
Guide for using Yadulink MCP with Claude Code to turn sales, SEO, and workflow signals into verified changes.
Read the guide →MCP + Windsurf
Guide for connecting Yadulink MCP to Windsurf or Cascade, with sales context, permissions, and SEO change verification.
Read the guide →MCP OAuth
Understand Yadulink MCP OAuth permissions, scopes to restrict, and checks to apply before authorizing an AI assistant.
Read the guide →API
Understand Yadulink API authentication, scopes, key security, and authorized use cases for LinkedIn automation.
Read the guide →Webhooks
Yadulink webhook guide for sending replies, acceptances, reads, visits, and warm signals to CRM, n8n, or AI agents.
Read the guide →LinkedIn data
Guide for using authorized LinkedIn data in Yadulink through API, webhooks, and MCP: leads, signals, lists, and CRM enrichment.
Read the guide →Lead generation
Guide for structuring LinkedIn lead generation with Yadulink: intent signals, qualified lists, CRM, MCP, and guardrails.
Read the guide →Inbound leads
Guide for handling inbound LinkedIn leads in Yadulink: messages, comments, visits, qualification, CRM, and replies.
Read the guide →LinkedIn limits
Yadulink guide to LinkedIn anti-ban limits: volumes, pauses, preview, errors, exclusions, monitoring, and human review.
Read the guide →LinkedIn outreach
Guide for framing LinkedIn outreach with Yadulink: warm signals, invitations, messages, follow-ups, CRM, preview, and analytics.
Read the guide →LinkedIn API
SEO guide to understand unofficial LinkedIn APIs, their limits, and frame a Yadulink alternative with API, MCP, webhooks, and guardrails.
Read the guide →MCP tools
Overview of Yadulink MCP tools for prioritizing contacts, auditing sequences, analyzing messages, and creating LinkedIn lists.
Read the guide →Outreach dry-run
Guide for previewing a Yadulink outreach search, list, or sequence before import, sending, or execution.
Read the guide →Multi-account
Multi-account LinkedIn guide for organizing several accounts with Yadulink: workspaces, permissions, signals, CRM, and guardrails.
Read the guide →LinkedIn guardrails
LinkedIn guardrails guide for controlling Yadulink automation: limits, required signals, human review, webhooks, and audit.
Read the guide →LinkedIn autopilot
Guide for framing LinkedIn autopilot campaigns with Yadulink: warm signals, preview, validation, follow-ups, and reporting.
Read the guide →Webhook events
List of Yadulink webhook events to connect to CRM or n8n: LinkedIn reply, accepted invite, profile visit, read message, and warm lead.
Read the guide →CRM sync
Yadulink CRM sync guide for sending warm LinkedIn leads, replies, signals, and follow-ups to HubSpot, Pipedrive, or Salesforce.
Read the guide →n8n
n8n recipes for connecting Yadulink to CRM, webhooks, Slack alerts, and LinkedIn prospecting workflows.
Read the guide →Make
Make guide for connecting Yadulink to LinkedIn signals, webhooks, CRM, Slack, Google Sheets, and prospecting workflows.
Read the guide →Zapier
Zapier guide for connecting Yadulink to webhooks, CRM, Slack, and no-code LinkedIn prospecting workflows.
Read the guide →AI providers
Guide for choosing ChatGPT, Claude, Perplexity, Gemini, Grok, or Codex with Yadulink MCP based on sources, reasoning, cost, and human control.
Read the guide →LLM costs
Guide for estimating the LLM cost of a Yadulink MCP workflow: calls, context, tokens, human validation, errors, and budget guardrails.
Read the guide →AI prompts
ChatGPT, Claude, Perplexity, and Codex prompts for analyzing Yadulink signals, prioritizing warm leads, and improving LinkedIn sequences.
Read the guide →