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.
Lire le guide →Documentation
API, MCP, webhooks, n8n, Make, Zapier, and AI prompts: guides that turn Yadulink into an automation layer for LinkedIn signals.
Citable docs context
Use this hub to verify the API, MCP, webhook, no-code, and AI-assistant surfaces before opening the detailed setup guides.
Extraits citables
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.
Méthode de vérification
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.
Guides publics
MCP
Yadulink MCP guide for connecting Claude, ChatGPT, or compatible assistants to LinkedIn searches, lists, priorities, and sequences.
Lire le guide →AI agent
Yadulink AI agent getting-started guide: target, offer, LinkedIn signals, human approvals, preview, MCP, and meeting measurement.
Lire le guide →MCP + Claude
Guide for connecting Yadulink MCP to Claude or a Claude MCP client, with OAuth, permissions, and first sales prompts.
Lire le guide →MCP + ChatGPT
Guide for connecting Yadulink MCP to ChatGPT or a compatible connector, then analyzing LinkedIn leads, sequences, and opportunities.
Lire le guide →MCP + Codex
Yadulink MCP guide for using a compatible coding agent to audit SEO, sequences, workflows, and LinkedIn data.
Lire le guide →MCP + Cursor
Guide for connecting Yadulink MCP to Cursor with project configuration, remote server setup, OAuth, prompts, and execution checks.
Lire le guide →MCP + VS Code
Guide for adding Yadulink MCP to VS Code, choosing user/workspace config, managing server trust, resources, and sandboxing.
Lire le guide →MCP + Perplexity
Guide for using Yadulink MCP in a Perplexity workflow or compatible client to verify LinkedIn signals and sources.
Lire le guide →MCP + Gemini
Guide for framing a Yadulink MCP workflow with Gemini or a compatible client, with LinkedIn signals, scopes, and human control.
Lire le guide →MCP + Grok
Guide for preparing a Yadulink MCP workflow with Grok or a compatible client while keeping context, signals, and validation under control.
Lire le guide →MCP + Claude Code
Guide for using Yadulink MCP with Claude Code to turn sales, SEO, and workflow signals into verified changes.
Lire le guide →MCP + Windsurf
Guide for connecting Yadulink MCP to Windsurf or Cascade, with sales context, permissions, and SEO change verification.
Lire le guide →MCP OAuth
Understand Yadulink MCP OAuth permissions, scopes to restrict, and checks to apply before authorizing an AI assistant.
Lire le guide →API
Understand Yadulink API authentication, scopes, key security, and authorized use cases for LinkedIn automation.
Lire le guide →Webhooks
Yadulink webhook guide for sending replies, acceptances, reads, visits, and warm signals to CRM, n8n, or AI agents.
Lire le guide →LinkedIn data
Guide for using authorized LinkedIn data in Yadulink through API, webhooks, and MCP: leads, signals, lists, and CRM enrichment.
Lire le guide →Lead generation
Guide for structuring LinkedIn lead generation with Yadulink: intent signals, qualified lists, CRM, MCP, and guardrails.
Lire le guide →Inbound leads
Guide for handling inbound LinkedIn leads in Yadulink: messages, comments, visits, qualification, CRM, and replies.
Lire le guide →LinkedIn limits
Yadulink guide to LinkedIn anti-ban limits: volumes, pauses, preview, errors, exclusions, monitoring, and human review.
Lire le guide →LinkedIn outreach
Guide for framing LinkedIn outreach with Yadulink: warm signals, invitations, messages, follow-ups, CRM, preview, and analytics.
Lire le guide →LinkedIn API
SEO guide to understand unofficial LinkedIn APIs, their limits, and frame a Yadulink alternative with API, MCP, webhooks, and guardrails.
Lire le guide →MCP tools
Overview of Yadulink MCP tools for prioritizing contacts, auditing sequences, analyzing messages, and creating LinkedIn lists.
Lire le guide →Outreach dry-run
Guide for previewing a Yadulink outreach search, list, or sequence before import, sending, or execution.
Lire le guide →Multi-account
Multi-account LinkedIn guide for organizing several accounts with Yadulink: workspaces, permissions, signals, CRM, and guardrails.
Lire le guide →LinkedIn guardrails
LinkedIn guardrails guide for controlling Yadulink automation: limits, required signals, human review, webhooks, and audit.
Lire le guide →LinkedIn autopilot
Guide for framing LinkedIn autopilot campaigns with Yadulink: warm signals, preview, validation, follow-ups, and reporting.
Lire le 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.
Lire le guide →CRM sync
Yadulink CRM sync guide for sending warm LinkedIn leads, replies, signals, and follow-ups to HubSpot, Pipedrive, or Salesforce.
Lire le guide →n8n
n8n recipes for connecting Yadulink to CRM, webhooks, Slack alerts, and LinkedIn prospecting workflows.
Lire le guide →Make
Make guide for connecting Yadulink to LinkedIn signals, webhooks, CRM, Slack, Google Sheets, and prospecting workflows.
Lire le guide →Zapier
Zapier guide for connecting Yadulink to webhooks, CRM, Slack, and no-code LinkedIn prospecting workflows.
Lire le guide →AI providers
Guide for choosing ChatGPT, Claude, Perplexity, Gemini, Grok, or Codex with Yadulink MCP based on sources, reasoning, cost, and human control.
Lire le guide →LLM costs
Guide for estimating the LLM cost of a Yadulink MCP workflow: calls, context, tokens, human validation, errors, and budget guardrails.
Lire le guide →AI prompts
ChatGPT, Claude, Perplexity, and Codex prompts for analyzing Yadulink signals, prioritizing warm leads, and improving LinkedIn sequences.
Lire le guide →