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CData
Bring disparate data into the hands of users 80% faster
- Data & Analytics
About CData
CData Virtuality is an independent semantic layer that bridges the gap in your heterogeneous data landscape through four key pillars: connectivity, modeling, governance, and data product delivery.
What Cakewalk Does With CData
Govern who on your team and which agents can access CData. AI agents can act inside CData 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 CData 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 CData Tasks Agent Connection | A person asks their agent to do something in CData, 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 Logged Agent Connection | Every agent action in CData 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)
- CData
https://mcp.cloud.cdata.com/mcpHTTP Token
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