Custom MCP Servers.
Expose your kernel to the agents.
For companies that need to expose their company.mcp to specific tools, partners, or customers. We design and build MCP servers — governance, access control, observability. The most technical Agents offering.
Custom MCP Servers is a Layer 04 service.
Every service we offer maps to one of four layers. Custom MCP Servers sits in the Agents — the layer that owns ai consulting & co-pilots.
MCP servers that survive production.
The Model Context Protocol is the spine that wires every agent and every interface to one company intelligence. Building an MCP server is straightforward; building one that holds up under production load, hostile inputs, and audit requirements is not.
We design, build, and ship custom MCP servers for companies that need to expose their kernel to specific tools (Claude Desktop, ChatGPT, internal LLMs), partners (channel integrations, customer agents), or customers (the buyer's agent querying your portal directly). Governance is built in. Access control is enforced. Observability is on by default. Compliance is documented from day one.
The process.
Discover · use case + threat model
Map who calls the MCP, what they need, and what they should never see. Define the threat model and access boundaries.
Expose · architecture + governance
Server design. Tool definitions. Auth model. Logging plan. Reviewed and approved before build.
Wire · build + test + deploy
Built against your kernel. Tested under load. Deployed with proper monitoring and alerting.
Operate · audit + iterate
Quarterly audit of usage and access. Schema evolution as the kernel evolves. Compliance review on schedule.
A production-grade MCP server.
Things people ask before booking.
What does an MCP server actually do?
It exposes a defined set of tools and resources to MCP-compatible agents (Claude Desktop, ChatGPT plugins, internal LLM apps, etc.) — letting them query your kernel directly under governance. It's the standard protocol that makes agent integration uniform across vendors.
Why custom instead of a generic connector?
Generic connectors expose too much, lack governance, and break on schema changes. Custom servers are scoped, audited, and built to survive. For consumer-grade use, generic is fine; for production B2B, you need custom.
Can the same server serve multiple agents?
Yes. One MCP server can serve internal Claude Desktop users, ChatGPT plugins, your customer portal, and partner integrations — with different tool subsets per consumer.
How does this connect to Agent Governance?
MCP servers are the technical surface; Agent Governance is the policy layer. Most enterprise engagements pair them — one ships the technology, the other ships the controls.
What does success look like at 90 days?
An agent in production doing measurable work, with guardrails your team can audit. On the Maturity Model this is the L3 → L4 move: the kernel work made the data trustworthy, and now agents act on it. Ninety days proves the pattern; the quarters after it scale it.
See how custom mcp servers fits into The Agents.
Before anyone deploys an agent, the diagnostic answers the only question that matters: is the layer underneath ready? Ninety minutes, your stack on the whiteboard, and a straight call on whether agents come next or kernel work comes first.