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Rivac AI Labs
Specialized & Cross-Industry Services

MCP Builder

An AI agent is only as useful as the systems it can actually reach, without a connection to your internal tools, databases, and workflows, it's stuck reasoning over whatever gets pasted into a chat window. This service builds custom Model Context Protocol (MCP) servers that give agents structured, secure access to your specific systems: internal APIs, databases, ticketing tools, proprietary data sources. It's for teams that have picked an AI coding or agent platform and are now hitting its limits because their actual tools aren't connected. You get a working MCP server, purpose-built for your systems, that turns a general-purpose agent into one that can actually see and act on your data.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose which internal systems and tools the agent needs access to and what data or actions matter most.

  2. 2

    Build and pilot an MCP server connecting one high-value system, tested against real agent tasks.

  3. 3

    Review agent performance with the new connection against the baseline, and identify what to add next.

  4. 4

    Build out the full MCP server with proper auth, error handling, and documentation for your engineering team.

What You Get

Deliverables from this engagement

  • A custom MCP server connecting your agent to specified internal systems
  • Authentication and permission scoping for secure agent access
  • Documentation for extending the server to additional tools
  • Source code delivered to your team, not locked to a vendor

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Setup

  • Target System Access Requirements
  • Manual API Credential Setup
  • Basic MCP Server Scaffold

Pilot

  • One System Connected via MCP
  • Local Test Harness
  • Agent Task Test Run

Rollout

  • Engineering Review Session
  • Auth and Permission Scoping Added
  • Documentation for Extension
  • Source Code Handoff

Lean Tooling

  • Shared Spreadsheet Tracker
  • MCP Server Template Repo

Cloud-Native / Managed Services Architecture

Client Layer

  • AI Agent Client
  • MCP Client SDK
  • Managed Hosting Platform

Server Layer

  • Managed MCP Server
  • Tool and Resource Handlers
  • Engineer Review Queue

Backend Systems

  • Internal API Gateway
  • Client Database
  • Ticketing System Connector

Presentation Layer

  • Server Health Dashboard
  • Usage Reporting Portal
  • Automated Error Alerting

Event-Driven & Automation-First Architecture

Triggers

  • Agent Tool Call Request
  • Internal System Webhook Event
  • Scheduled Health Check Trigger

Automation Pipeline

  • Request Queue
  • MCP Server Orchestrator
  • Tool Handler Worker

Human Checkpoint

  • Engineer Reviews Failed Tool Call
  • Fix and Redeploy Loop

Delivery

  • Automated Response Returned to Agent
  • Tool Usage Tracking Event
  • Slack Alert on Server Error
  • Usage Metrics Store Update

Enterprise-Grade & Compliance-Ready Architecture

Governance

  • Engineering Governance Board
  • Permission Scope Approval Gate
  • Role Based Access Control

Secure Processing

  • Encrypted MCP Transport Pipeline
  • Engineer Sign Off with Audit Trail
  • Internal System Access with Logging

Redundant Infrastructure

  • Primary MCP Server Cluster
  • Failover MCP Server Cluster
  • Automated Config Backup

Audit and Reporting

  • Immutable Tool Call Audit Log
  • Compliance Reporting Dashboard
  • Engineering Lead Sign Off

AI-Augmented, Human-in-the-Loop Architecture

Data and Signal Layer

  • Historical Tool Call Data
  • Internal System Schema Metadata
  • Agent Task Success Signals

AI Planning Layer

  • Tool Selection and Parameter Model
  • AI Drafted Tool Call Plan
  • Confidence and Risk Scoring

Human Approval Gate

  • Engineer Reviews High Risk Tool Call
  • Edits and Permission Adjustments Captured

Publish and Learn

  • Approved Tool Call Executed
  • Task Outcome Capture
  • Feedback Loop into Tool Selection Model
  • Rejected Call Blocked and Logged

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems of Record

  • Client Internal APIs
  • Client Ticketing Tool
  • Client Data Warehouse

Integration Layer

  • Two Way Sync Middleware
  • API Gateway
  • Identity and Access Sync

MCP Operations

  • MCP Server Fleet
  • MCP Builder Workflow
  • Usage Metrics Store

Shared Reporting

  • Unified Engineering Dashboard
  • Slack and Email Notifications
  • Engineering Scorecard

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Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about MCP Builder

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call