Key Outcomes
- MCP server architecture — tool descriptions, resource definitions, and capability exposure designed for agent discovery and consumption
- A2A protocol design for agent-to-agent collaboration and multi-agent orchestration across your platform
- API surface redesign optimised for both human developer ergonomics and autonomous agent consumption at scale
- Skills and tools architecture — structured capability definitions that agents can discover, evaluate, and compose
- Connector and integration patterns for agent-native platform interoperability
- Documentation-as-interface system — structured, machine-readable docs that serve as the primary agent onboarding surface
Tools & Technology
Our Approach
The interface layer between platforms and their consumers is being rewritten. Human developers still matter — but they're now joined by AI copilots that need structured context, autonomous agents that need discoverable tools, and multi-agent systems that need standardised protocols to collaborate. Designing for this new reality requires rethinking APIs, documentation, and developer experience from the ground up.
We design agentic interfaces across three layers: the protocol layer (MCP servers for tool and resource exposure, A2A protocols for agent collaboration), the capability layer (skills, tools, and connector definitions that agents can discover, evaluate, and compose into workflows), and the consumption layer (documentation, examples, and onboarding surfaces that work for both humans reading docs and agents parsing structured descriptions).
The engagement moves through three phases: consumption pattern research and protocol architecture (weeks one to three), MCP server design, API surface redesign, and skills architecture (weeks three to six), and implementation with documentation-as-interface and integration testing (weeks six to eight).
What's Included
- Agent consumption pattern research — how do AI agents discover, evaluate, and use platforms today?
- MCP server design with tool descriptions, resource definitions, and capability exposure
- A2A protocol design for multi-agent orchestration and collaboration
- API surface redesign for dual human/agent consumption
- Skills and tools architecture with structured capability definitions
- Connector patterns for agent-native integrations
- Documentation-as-interface system — machine-readable, structured, and agent-optimised
- Implementation with end-to-end agent integration testing