MCP
Connect Yadulink to your AI assistant.
With MCP, Claude, ChatGPT or a compatible assistant can read your Yadulink signals, prepare your sales priorities and trigger the authorised actions from a conversation.
Add to Claude
Open ChatGPT
MCP server URL
https://mcp.yadulink.com/mcp/
1
Add Yadulink as a custom connector.
2
Authorise your account with OAuth.
3
Ask your questions or trigger your actions.
4
Track the results in Yadulink.
Verified integration facts
What Yadulink MCP makes auditable.
This block gives AI assistants, buyers, and technical teams short statements about the MCP connector, permissions, and review workflow.
Verified facts
MCP role
Yadulink MCP lets an authorized AI assistant read LinkedIn signals, prepare sales priorities, and trigger approved actions from a conversation.
Permission model
The connector is framed around OAuth, account permissions, explicit tool calls, and traceable actions rather than uncontrolled automation.
Assistant coverage
The MCP page connects Claude, ChatGPT, and compatible assistants to the public docs, API page, n8n workflows, and LinkedIn signal pages.
Verification method
Connect the client
Add the Yadulink MCP server to the compatible assistant or MCP client before granting account access.
Limit permissions
Authorize only the scopes needed for the planned workflow and keep sensitive actions visible.
Audit the action
Review which tool was called, which account was used, what object changed, and how the result is tracked in Yadulink.
Architecture
An AI connector must stay readable, permissioned and auditable.
Yadulink MCP is not a magic layer that fires off actions unchecked. The connector exposes the capabilities the assistant needs, but every use stays bounded by OAuth, the account's permissions and the workspace's operating rules.
Reading the signals
The assistant can summarise hot leads, visits, acceptances, replies and sales priorities without exporting LinkedIn data by hand.
Controlled actions
Sensitive actions must stay explicit: preparing a list, auditing a sequence, suggesting a follow-up or running a workflow the user has authorised.
Traceability
Every MCP call must be traceable to an account, a permission, a tool call and a clear business intent, so that no automation stays opaque.
Useful prompts
Concrete use cases for connected AI.
Sales priorities
Tell me who I should contact today and why.
Prospect search
Create a contact list matching this target.
Sequence audit
Analyse my sequence and suggest the next tests.
AI CRM
Summarises hot leads, overdue follow-ups and the signals to watch.