Why build custom MCP servers instead of using off the shelf ones?

Off the shelf MCP servers assume public or generic APIs. Enterprise systems (your ERP, ledger, EHR, internal services) need custom tool contracts, least privilege scoping mapped to your IAM, PII handling, and audit trails that satisfy your compliance team. We build servers around your systems and your controls, not a lowest common denominator.

How many MCP servers does an enterprise agent actually need?

It depends on how many system boundaries and permission domains the agent spans, not the number of endpoints. We typically group tools by system of record and trust boundary so each server has a clear owner and audit scope. For Optevo that came to 10 production servers. We scope the right number in the architecture briefing.

How do you keep MCP servers secure and compliant?

Least privilege tool scoping, no raw query composition exposed to the model, human in the loop on state changing actions, immutable audit logs on every call, and deployment inside your VPC with SSO/RBAC. The same architecture we take through enterprise security review for knowledge graph and GraphRAG work.

What does an MCP engagement cost and how fast can you ship?

A fixed scope pilot (architecture plus the first two to three production servers) starts at $75K over 6 to 8 weeks. Broader programs with many systems and compliance sign off scale from there. Every pilot is backed by our guarantee: hit the agreed scope and reliability targets or the pilot is free.

AI & Machine Learning

MCP Server Development for Enterprise AI Agents

Give your AI agents governed, auditable access to your systems through custom MCP servers. Built by the team that shipped 10 production MCP servers for Optevo: deployed in your VPC, in weeks.

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What is MCP server development and why do enterprises need it?

The Answer

MCP (Model Context Protocol) server development builds a governed boundary layer between your AI agents and your internal systems. Instead of handing a model raw API keys, an MCP server exposes scoped, least-privilege tools and logs every call, so compliance can audit exactly what the agent did. We shipped 10 production MCP servers for Optevo, deployed inside their own cloud.

MCP Architecture

Your agents need to act on ten systems. Safely.

Wire a model straight into your systems and you scatter credentials, lose the audit trail, and hand it more access than any one task needs. A governed MCP layer puts every tool behind one boundary you control.

🔐No raw API keys reach the model

🛡Least privilege, per tool

📋Every call audited

One agent, one governed boundary, every tool scoped and audited. Illustrative architecture — your systems and server split are scoped in the briefing.

What you get

Three outcomes we commit to before we start.

Governed tools, not raw API keys

Each MCP server exposes a small, reviewed set of tools with least privilege scoping: the agent can only call what you approved, every call is logged, and there is no path to raw query composition. The controls your security team asks about are built in, not bolted on.

10 servers, shipped in production

We designed and deployed 10 production MCP servers for Optevo: a real reference architecture, not a proof of concept. You get the same delivery discipline: versioned tool contracts, evaluation gates, and a runbook your team owns.

Deployed in your VPC, IP is yours

MCP servers run inside your cloud with SSO/RBAC and your existing IAM. No data egress, no per seat licensing, and the code, contracts, and documentation transfer to your team when we exit.

The Guaranteed Production Pilot

Fixed scope · Written target

A production MCP Servers system in your VPC: audited, documented, owned by your team.

Not a slide deck and not a sandbox demo: a working MCP Servers deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.

Speed

Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.

Zero effort

Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.

Risk reversal

Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.

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