Agent Interoperability
AI agents are only as useful as the tools they can access and the agents they can talk to. MCP lets agents use tools. A2A lets agents talk to each other. We implement both — because interoperability is the future and we've been building it since day one.
Protocol Capabilities
Model Context Protocol (MCP)
The standard for connecting AI models to external tools and data sources. We implement MCP servers and clients so your agents can use databases, APIs, file systems, and any tool with a well-defined interface.
Agent-to-Agent (A2A)
Google's protocol for agent interoperability. Agents from different vendors and platforms communicate, delegate tasks, and share results. We implement A2A so your agents play well with the ecosystem.
Function Calling & Tool Use
Structured tool use with OpenAI, Claude, and open-source models. Agents that call APIs, query databases, and execute actions — reliably and safely.
Agent Discovery
Agents that can discover and use other agents automatically. Agent cards, capability declarations, and dynamic routing.
Cross-Platform Communication
Your agents need to talk to each other across Slack, email, your website, and internal tools. We build the communication fabric.
Security & Governance
Authentication, authorization, audit trails, and rate limiting for agent-to-agent and agent-to-tool communication. Enterprise-grade controls.
Case studies
Proof we ship
Implement MCP & A2A
Tell us what tools your agents need to access and what agents need to communicate. We'll implement the protocols.
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