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CRM integration

Clay MCP integration for AI agents

Insiro connects AI agents to Clay MCP so they can act in it under your rules. Clay MCP is a prospect enrichment service for researching companies and contacts. It runs enrichment providers and Clay functions to return enriched prospect data. Every Clay MCP action runs through Insiro's governed gateway, using each person's own connection (OAuth).

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What can AI agents do with Clay MCP?

With Insiro, agents can create and update contacts, companies and deals, log calls, emails and notes against the record, find stalled or at-risk opportunities and enrich new leads before routing them to an owner, all inside the permissions you set for Clay MCP.

  • Create and update contacts, companies and deals.
  • Log calls, emails and notes against the record.
  • Find stalled or at-risk opportunities.
  • Enrich new leads before routing them to an owner.

A journey through Insiro

Clay MCP logo Clay MCPInsiroGmail

Example: Clay MCP → Insiro → Gmail to log the email thread and update the opportunity. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Clay MCP

Can Insiro AI agents use Clay MCP?

Yes. Insiro connects AI agents to Clay MCP through its governed MCP gateway. Agents can create and update contacts, companies and deals and log calls, emails and notes against the record using each person's own Clay MCP access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Clay MCP?

Clay MCP connects with OAuth. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Clay MCP read-only for agents?

Yes. In Insiro Governance, set Clay MCP to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

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Put Clay MCP to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

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  • 13governance checks on every agent tool call
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