OData and MCP: what's the difference?

The short distinction

OData is a standard for querying structured tables via HTTP. Reporting tools can read metadata, select tables, and use supported query options. MCP standardizes how an AI application discovers and calls context and tools.

At DigiData, both routes continue to exist side by side. The existing OData feed remains intended for Power BI and Excel. DigiData MCP adds a separate, read-only AI route without replacing the OData connection of existing reports.

Same synchronized base

DigiData periodically retrieves source data from, for example, Exact Online, Twinfield and Bouw7. The interactive user therefore does not have to wait for a source API for each query.

OData shows the last synchronized tables. MCP uses the same protected tenant data, but packages access as tasks: show available resources, describe a schedule, read selected rows, perform a bounded aggregation, or check synchronization status.

Other authentication and permission

An OData consumer uses the source credentials provisioned for the feed. You don't want to copy a long-lived OData API key for an external AI assistant. DigiData MCP therefore uses OAuth on behalf of a user, with a separate connection and permission per source, table and column.

That permission remains server-side. The access token does not need to contain a complete list of fields and a model cannot change the tenant as an argument. See MCP Security for token, tenant, and revocation checks.

Different form of a question

Power BI builds a data model and retrieves tables upon refresh. The creator determines relationships, transformations and measures. An AI client reasons for each conversation which MCP tool is needed. That is why short tool descriptions, characterized results and hard boundaries are important.

MCP does not accept any arbitrary OData URL or SQL at DigiData. The client sends structured fields, filters and limits. DigiData checks each field against the current allowlist and returns a bounded result with current information.

Which route do you choose?

• Choose OData for a repeatable Power BI or Excel model.
• Choose MCP when an approved external AI assistant needs to query a limited data set.
• Choose DigiData AI for recurring, centrally managed business analytics with richer definitions and channels.

An organization can use all three, as long as roles and data sets are clear. It is not a migration from OData to MCP, but a choice per application.

Summary

OData provides tables for reports; MCP provides limited capabilities to AI clients. DigiData keeps the data layer central and makes authentication, consent and output appropriate for the user. Read the extensive page OData and MCP or compare DigiData AI with external assistants.