AI Development
MCP Server Development
We build MCP servers that expose safe tool catalogs to AI clients: structured schemas, auth and RBAC alignment, audit logs, and deployment hardening for production use.
Overview
What this service is
We design an MCP tool surface that’s safe by default: explicit capabilities, constrained inputs, and validation so AI clients can’t call arbitrary actions.
Authentication and permissions are aligned to your user model so tools respect RBAC boundaries and produce audit-friendly logs.
We deliver deployment-ready infrastructure with rate limits, secrets isolation, monitoring, and change management so MCP stays stable as tool catalogs evolve.
Benefits
What you get
Safer AI tool access
Constrained tools reduce the risk of unintended actions and data exposure.
Faster integration of new capabilities
Add new tools via schemas and versioned contracts without breaking clients.
Audit-ready operations
Tool calls are logged with context so teams can trace and debug behaviour.
Better governance posture
RBAC alignment and allowlists make approvals and policies easier to enforce.
Production hardening
Rate limits, monitoring, and rollout controls keep MCP stable under growth.
Features
What we deliver
Tool catalog design
Define tool boundaries, schemas, and versions aligned to real workflows and permissions.
Schema validation
Strict input validation and output shaping to make tool use predictable and debuggable.
Auth + RBAC mapping
Integrate with your identity model so tool access is permission-aware and auditable.
Rate limiting and abuse controls
Throttle and protect endpoints to prevent misuse and cost spikes in production.
Observability
Logs, traces, and dashboards for tool usage, failures, and latency across the stack.
Deployment hardening
Secrets isolation, environment separation, and change management for safe operations.
Process
How we work
Tool surface definition
We define tools, schemas, permissions, and versioning strategy for safe capabilities.
Server implementation
We build MCP endpoints, validation, auth integration, and core observability hooks.
Hardening
We add rate limits, secrets isolation, monitoring, and rollback-friendly releases.
Handoff
We document tool schemas, operational playbooks, and safe expansion patterns.
Tech Stack
Technologies we use
Core
Tools
Use Cases
Who this is for
AI copilots for internal tools
Expose controlled actions for dashboards, admin tools, and operations workflows.
CRM automation via safe tools
Let AI clients update CRM records only through validated, allowlisted actions.
Knowledge and search tooling
Expose retrieval and document tools that respect access rules and log usage.
Multi-system orchestration
Coordinate actions across multiple internal services through a stable tool catalog.
Governed AI rollouts
Introduce AI actions behind explicit approvals and audit trails for safer adoption.
FAQ
Frequently asked questions
No. MCP complements APIs by providing a governed tool layer for AI clients. The underlying APIs remain your source of truth.
Yes. We align tool permissions to your RBAC model so access is consistent with your platform security rules.
We use strict schemas, validation, allowlists, approvals for sensitive actions, and rate limits—with audit logs for tracing behaviour.
Yes. We implement secrets isolation, monitoring, and environment separation with operational runbooks.
Yes. Tool catalogs are versioned so you can add capabilities without breaking existing clients.
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Regional
Delivery considerations for your region
Compliance & Data (AU)
For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.
We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.
- Privacy Act-aware delivery posture (generic, no legal claims)
- Documented data flows and access boundaries
- Retention/deletion options where required
- PII-safe logging and least-privilege defaults
- NDA and DPA templates available on request
Timezone & Collaboration (APAC)
We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.
We keep momentum with weekly milestones, crisp priorities, and predictable release planning.
- APAC overlap with AEST/AEDT windows
- Async-first updates and written decisions
- Weekly milestone demos and scope control
- Release planning with staged rollouts
- Clear escalation path for blockers
Engagement & Procurement (AU)
We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.
If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.
- AUD-based engagements and invoicing options
- Milestone-based billing for fixed-scope work
- Time-and-materials for evolving scope
- Procurement-friendly documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (APAC)
With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.
We use performance budgets and release checklists so handoffs stay smooth across timezones.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback plan for production launches
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Need safe tool access for AI clients?
Share the systems you want to expose—we’ll design an MCP server with secure tooling and a phased rollout plan.
Security-first tool boundaries.