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 (US)
For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.
We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.
- SOC 2 / ISO-friendly implementation patterns (no certification claims)
- Least-privilege access and permission boundaries
- Security review checklists for auth, payments, and data flows
- PII-safe logging + incident response playbooks (on request)
- Retention and deletion flows where required
- NDA + vendor onboarding docs on request
Timezone & Collaboration (Americas)
We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.
We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.
- Americas overlap with EST/PST-friendly windows
- Async-first updates with written decisions
- Weekly milestone demos + change control
- Fast turnaround on blockers and clarifications
- Clear owner per workstream and escalation path
Engagement & Procurement (US)
US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.
If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.
- USD invoicing and milestone-based payment schedules
- SOW + scope lock options for fixed-scope work
- Time-and-materials for evolving requirements
- Procurement-ready documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (US)
We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.
Expect clean PRs, reviewable changes, and production-ready testing from day one.
- Threat-aware checks for auth, roles, and sensitive data flows
- CI-friendly testing: unit + integration + critical path smoke tests
- Performance budgets (Core Web Vitals-minded) and bundle checks
- Structured logging + error tracking hooks (Sentry-ready)
- Rollback-safe releases and clear release notes
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.