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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 it

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

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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