MCP integration: Model Context Protocol servers for enterprise AI
Agentic Giants designs, builds, and hardens Model Context Protocol servers the standard interface through which AI agents access enterprise systems with per-tool permissions and full audit trails. Headquartered in Aubrey, Texas.
What is MCP integration?
The Answer
MCP integration is the work of connecting AI agents to your business systems through Model Context Protocol servers. Also sold as MCP consulting, it covers the design, security, and deployment of those servers, the standard interface through which AI agents access your systems with per-tool permissions and full audit logs. You need it when agents must read or act on production data and 'wire the model to raw APIs' would fail your security review. The outcome is agent access your security team signs off on.
What we build
- Custom MCP servers against your internal systems
- Permissioning and data boundaries per tool
- Prompt-injection defense on agent-facing surfaces
- Audit logging and monitoring on every call
- MCP security reviews of servers your team has already built
Six questions to ask about your MCP integration
If you already have MCP servers in production, these are the questions we work through first. Most teams cannot answer all six, and the gaps are consistent.
- 1
Do your tools expose the API surface, or the task surface?
A tool that accepts a query string, filter expression or JSON path is a permission bypass with a schema. Narrow, parameterised tools are the only version that holds.
- 2
Do tool calls execute as the caller, or as a shared service account?
A service account gives every request the same permissions regardless of who asked. Easy to build, impossible to audit, and it fails the first access review.
- 3
Is your authorization doing audience binding, or just token validation?
Checking that a token is valid is not the same as checking it was issued for this server. The specification names RFC 8707 and RFC 9207 for exactly this.
- 4
Have you migrated to the 2026-07-28 specification?
Sessions and the initialize handshake are gone, and SSE stream resumability was removed. A dropped stream now forces a retry, so any non-idempotent tool can double-execute.
- 5
Would your audit trail satisfy a regulator?
Caller identity, tool, parameters, authority, result and approver, on every call. If any one of those is missing, the trail does not reconstruct what happened.
- 6
Do you have an evaluation harness that catches regressions?
Tools that pass unit tests can still be chosen wrongly by the model. Agent-level evaluation is a separate discipline and it is the one most often skipped.
The underlying detail, including what the 2026-07-28 specification changed and the attack classes its security guidance names, is in our MCP security practice.
Production track record
10 production MCP servers shipped for an enterprise client
90 days from kickoff to production, replacing fragmented API integrations and eliminating credential sprawl across the agent stack.
Read the case study →Frequently asked
MCP vs function calling, do we need both?
MCP is the standard protocol; function calling is the LLM-side mechanism. In practice: function calling is how the model asks for a tool; MCP is how the tool exposes itself, with per-tool permissions and audit-log guarantees the model side can't provide. Enterprises use both, the model calls functions, the functions reach systems through MCP servers.
How do you secure an MCP server?
Least-privilege per tool (each capability holds only the permissions it needs), prompt-injection defenses on any user-facing surface, data boundaries so tools can't reach across scope, and immutable audit logging on every call. Our MCP security service covers reviews of servers your team has already built.
How long does a first MCP server take?
A production MCP server against one internal system (permissioning, audit logging, deployed in your VPC) typically ships in three to six weeks. We shipped 10 for an enterprise client in 90 days, so the cadence is real: it depends on how clean the target system's API and auth story already are.
Related reading
The 30-Minute MCP Review
For engineering and security leaders whose agents need production data and whose security review would reject wiring a model to raw APIs. You leave with a written verdict, not a proposal.
The Guaranteed Pilot
If the audit turns into a build, we agree the target in writing before any work starts: a hallucination rate, a latency budget, or a workflow acceptance criterion. Miss it inside six weeks and the pilot is free. Full methodology on /proof.
If two REST endpoints and a scoped token solve your problem, MCP is overhead and we will say so. We would rather lose the engagement than ship you a protocol you did not need.