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Agents (MCP & A2A)
Goal-driven agents with tools, memory, and guardrails.
We build production agents using the Model Context Protocol (MCP) and Agent-to-Agent (A2A) patterns — with tool use, planning, memory, and human-in-the-loop checkpoints.
MCP
Standards-based
Auditable
Every action logged
HITL
Where it matters
What's included
- MCP servers for your internal tools
- Multi-agent A2A orchestration
- Planner + executor + critic patterns
- Tool calling with strict schemas
- Memory: short-term, long-term, episodic
- Approval gates and audit trails
Frequently asked
What is MCP?+
The Model Context Protocol — an open standard from Anthropic for connecting LLMs to tools, data, and other agents. We build MCP servers and clients.
How do you stop agents going off the rails?+
Strict tool schemas, scoped permissions, action budgets, evals, and human approval on irreversible steps.
Which frameworks do you use?+
MCP, OpenAI Agents SDK, LangGraph, Mastra, and bespoke orchestrators when needed.
Ready when you are
Let's build something intelligent.
Tell us about your project. We'll get back within one business day with a tailored response — not a generic deck.