Yadulink / Documentation / MCP + Claude

Connect Yadulink to Claude to analyze LinkedIn signals without copy-paste.

When your Claude environment supports a remote or custom MCP connector, Yadulink can become an action and context source for prioritizing leads, lists, and sequences.

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MCP + Claude

Most useful use case

Ask Claude to summarize warm signals, rank contacts by priority reason, and suggest a next action tied to LinkedIn context.

MCP + Claude

Reduce risk

Keep permissions separated between reading, analysis, and action. A first connection should prove data quality before any sequence activation.

Verified facts

What this documentation should make explicit.

Purpose

When your Claude environment supports a remote or custom MCP connector, Yadulink can become an action and context source for prioritizing leads, lists, and sequences.

Workflow proof

Ask Claude to summarize warm signals, rank contacts by priority reason, and suggest a next action tied to LinkedIn context.

Assistant prompt

With Yadulink MCP in Claude, list the LinkedIn leads to contact today, explain each signal, and suggest a careful action.

Verification method

How to turn the guide into an operational test.

  1. 01 Claude connection Check that your Claude workspace or Claude Code environment allows adding an MCP connector.
  2. 02 Claude connection Add the Yadulink MCP server URL from the integration page.
  3. 03 Claude connection Use OAuth and limit authorizations to the target workflow.

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.