Rivac LabsAgent/MCP Interfaces for Data Products
AI copilots and agents are becoming the way a growing share of your customers and partners actually want to consume data — not through a dashboard they log into, but through an assistant that can query it directly and reason over the answer. This service adds a Model Context Protocol or agent-ready interface on top of any data product you already have, or that we build alongside it, so AI copilots can query, filter, and retrieve from it programmatically and reliably, with the same access controls and rate limits your other interfaces have. We design the interface around how an agent actually calls tools, not a repurposed human-facing API, so responses come back structured and usable rather than something the agent has to guess at. It solves the emerging gap where a data product with no agent-ready interface is invisible to the growing set of buyers who want to plug their AI stack directly into your data rather than build custom integration code.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Assess the existing data product's API and access model to identify what needs to change for reliable agent/MCP consumption
- 2
Pilot an MCP or agent-tool interface against a representative set of real agent queries, checking response structure and reliability
- 3
Review pilot results with your team and any early agent-based users to refine tool definitions and error handling before wider release
- 4
Ship the production interface with documentation, authentication, and rate limits appropriate for both human-built and autonomous agent clients
What You Get
Deliverables from this engagement
- Production MCP or agent-ready interface for your data product
- Documented tool definitions and authentication setup
- Rate limiting and access controls appropriate for agent traffic
- Sample agent integration/reference implementation for your team or customers
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Agent/MCP Interfaces for Data ProductsMost engagements like this start as a $500–$2,500 pilot — see full pricing.