Embedded Cloud for AI
Software providers can connect copilots and agents to 270+ live customer data sources.
With Embedded Cloud for AI, powered by the Model Context Protocol (MCP), your customers can ask questions in natural language and make updates across all their data sources directly within your UI.
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Live data access in place
When copilots and agents run on replicated data, answers are stale, incomplete, and untrustworthy.
Give your AI copilots and agents access to live, third-party customer data
- Retain full source semantics and metadata so results reflect the real business context.
- Enable copilots to answer time-sensitive questions without waiting on syncs or jobs.
Keep users in your product with real-time information they can trust and act on immediately.
Deeper data exploration through rich semantics
By flattening data and losing context, most tools reduce copilots to surface-level Q&A, blocking the deep analysis that surfaces the insights that matter most.
Empower copilots with conversational, exploratory analytics
- Expose every field, object, and version of each source system's API for richer analysis and exploration.
- Surface schema and metadata dynamically so AI can interpret the nuances of each source and its structure.
Transform copilots from basic answer-givers into true discovery and decision partners.
AI-driven writebacks
When data connectivity is read-only, users have to switch tools to update records, create tickets, or trigger workflows.
Give copilots and agents the ability to analyze and act
- Execute updates and changes live in source systems, respecting source permissions end-to-end.
- Support secure, governed actions like ticket creation, CRM updates, or ERP transactions.
Empower users to close the data-to-decision-to-action loop without leaving your product.
How Embedded Cloud for AI works
Provide copilots and agents with secure, real-time access to 270+ customer data sources.
1. Embed the connection launcher
Redirect your customer admin to a managed, brandable CData connection page. No need to build connectors—we handle the backend, including API integration, authentication, and credential management.
2. Your customer configures the connection
Admins walk through CData's managed setup to authenticate and connect Salesforce, SAP, Snowflake, and hundreds of other systems.
3. CData establishes the connection
We authenticate, validate, and maintain the connection behind the scenes, managing tokens, refresh logic, and API changes.
4. Copilots use MCP tools at runtime
Your copilots and agents connect through our remote MCP server, using standardized tools (getSchema, runQuery, joinTables, writeback) to retrieve and act on data in real time.
Give customers confidence their data is safe, governed, and always under their control
Ensure tenant access aligns with identity management and source-level roles with passthrough permissions.
Support per-user connections so each user's source-level roles and ACLs are applied natively at the source.
Protect every connector session with full OAuth 2.1 with PKCE, SSO integration, and short-lived tokens.
Encrypt data (AES-256 at rest, TLS 1.3 in transit).
Validate compliance with independent SOC 2, GDPR, and ISO/IEC 27001 certifications.
Ready to see more?
Request a demo or test out CData Embedded Cloud for AI in your tech stack
