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Kernel AI
Agentic entity data for RevOps
- Sales
About Kernel AI
Resolve entity identities, build hierarchies, increase firmographic accuracy, and turn your CRM into a trusted foundation for territory design.
What Cakewalk Does With Kernel AI
Govern who on your team and which agents can access Kernel AI. AI agents can act inside Kernel AI with the permissions of the person who asked. Cakewalk checks each call against policy, holds risky actions for approval and writes an audit record for every one.
Integration Capabilities
A Connection lets an AI agent act in Kernel AI through Cakewalk instead of with its own API key. The agent operates with the permissions of the person who made the request, only for the duration of that task. Every call is checked against policy and written to the audit log.
Use Cases
| Use Case | Description |
|---|---|
| Let an Agent Handle Kernel AI TasksAgent Connection | A person asks their agent to do something in Kernel AI, like find a record, update a field or pull a report. The agent does it through Cakewalk with that person's own access, not a shared key. |
| Every Action Checked and LoggedAgent Connection | Every agent action in Kernel AI is checked against your access rules and written to the audit log. Safe actions go through, risky ones wait for approval or are blocked. |
MCP Servers (1)
- Kernel AI
https://mcp.kernel.ai/mcpHTTPOAuth
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