Agents & MCP
Agents that can actually reach your content. We build MCP servers and agent workflows that connect AI to the platforms where your documents live.
The Model Context Protocol turned agent access from a demo trick into an architecture. We built a working MCP server for Nuxeo, integrated it with AWS AgentCore, and published the work in the open. If your roadmap says agents, the first question is what they can safely touch. That's the part we engineer.
Your challenges
What brings teams to us
Agents with nothing to hold
The agent strategy is approved. It still can't see the systems where the actual work lives.
Access without guardrails
Giving a model write access to production content without scoping is how pilots become postmortems.
Hyperscale content, tiny context
Millions of documents don't fit in a context window. Retrieval architecture decides whether agents are useful.
Our approach
How we work
Expose the platform safely
An MCP server that scopes what agents can read, write, and trigger, aligned with existing permissions.
Orchestrate the work
Agent workflows for the tasks worth automating: intake, enrichment, review, and reporting.
Prove it in the open
Our Nuxeo MCP server and AI add-ons are public. You can read the code before you trust it.
Public
MCP server and AI add-ons on GitHub
AWS
AgentCore gateway integration, working
Since 2007
Content platform depth behind the agents
Deliverables
What you walk away with
- An MCP server scoped to your content platform and permissions
- Agent workflows for intake, enrichment, and review tasks
- Gateway integration with AWS AgentCore or equivalent
- Runbooks and handover so your team operates it
Explore the technical guidance
Need help with Agents & MCP?
Tell us what you're struggling with, and we'll tell you how we can help you.
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