AI Development
MCP Server Development
We build MCP servers that expose your systems as safe, well-defined tools for AI clients. Expect strict schemas, RBAC, audit logs, and deployment hardening so agents can act without dangerous access or data leakage. Delivery aligned to United Kingdom teams (GBP).
Overview
What this service is
MCP (Model Context Protocol) is a way to expose tools and data sources to AI clients in a structured, consistent format.
We build MCP servers that wrap your internal APIs, databases, and services with strict schemas, permission checks, and audit logs.
Delivery includes deployment hardening and handoff notes so the tool surface stays safe as it grows.
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Benefits
What you get
Expose tools safely for agent workflows
Reduce one-off integrations with standard interfaces
Keep permissions consistent via RBAC and policies
Improve auditability with logs and traceability
Ship tools faster with reusable schemas
Reduce risk of unsafe actions and leakage
Features
What we deliver
Tool schema design
Define tool contracts with stable schemas, validation, and versioning so clients can rely on predictable behavior.
RBAC and permission checks
Role-aware access controls so tool actions and data reads follow your existing security model.
Safe execution + validation
Parameter validation, allowlists, and approval patterns for sensitive actions.
Audit logs + tracing
Traceable tool usage with logs for debugging, compliance, and incident response.
Secrets and environment isolation
Safe secrets management and environment separation so tools don’t leak credentials or cross boundaries.
Deployment hardening
Rate limits, network controls, monitoring, and rollout discipline for production MCP deployments.
Process
How we work
Discovery
Tool inventory and permission model.
Schema design
Contracts, validation, and versioning plan.
Build
Implement MCP server + connectors.
Hardening
Rate limits, logs, and monitoring.
Launch
Rollout + handoff.
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Internal tools as agent actions
Expose business APIs as safe tools for AI agents with permission enforcement and audit trails.
Ops automation tool surface
Wrap operational workflows (refunds, updates, approvals) as constrained tools with validation and approvals.
Data access with safety boundaries
Expose read-only or filtered queries to AI clients while preventing leakage across roles or tenants.
Multi-tool orchestration
Provide a clean tool catalog for AI workflow orchestration across systems.
Enterprise rollout readiness
Add governance, logs, and deployment controls for scalable adoption across teams.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Secure Mobile Solution in Australian Defence Ecosystem
Problem: Secure data workflows were required in a regulated environment with strict access controls.
Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.
Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.
AI Knowledge Base Across 2,000+ Pages
Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.
Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.
Outcome: Reliable answers with <10s response times and measurable improvements on real queries.
Ops Automation with AI + n8n
Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.
Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.
Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.
Explore
Related solutions & technologies
Useful next pages if you’re planning an AI pilot or scaling this into a larger product.
Related solutions
FAQ
Frequently asked questions
APIs are great, but MCP provides a structured tool interface designed for AI clients. We often wrap APIs into MCP tools with better schemas, permissions, and observability.
Yes. Many MCP deployments start read-only, then expand to controlled actions with approvals as confidence grows.
We use allowlists, strict validation, RBAC, approvals, and audit logs—plus eval tests for common failure cases.
Yes. We implement rate limits, secrets isolation, network controls, and monitoring for production posture.
Yes. We deliver tool catalogs, schemas, and runbooks for safe maintenance and extension.
Start with the highest-value read actions (search, lookups) and one controlled write action with approvals.
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Regional
Delivery considerations for your region
Compliance & Data (UK/EU)
For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.
We can work under a DPA (template available on request) and implement practical retention/deletion flows when needed.
- GDPR-first patterns (minimise, restrict, document)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and secure session handling
- PII-safe logging + secure-by-default configuration
- NDA available for early-stage discussions
Timezone & Collaboration (UK/EU)
We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.
We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.
- UK/EU overlap with GMT/BST windows
- Async-first delivery with documented scope
- Weekly milestones and structured demos
- Clear escalation path for blockers
- Tight change control with clear sign-offs
Engagement & Procurement (UK)
We support typical UK procurement flows with clear scopes, change control, and invoice cadence.
If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.
- GBP-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing when appropriate
- Transparent change control and sign-offs
- Vendor onboarding pack on request
Security & Quality (UK/EU)
We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.
Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks (Core Web Vitals-minded)
- Structured release notes and rollback-safe deployments
- Security checklist for auth, roles, and data flows
- Observability hooks (logs + error tracking) ready for production
Want help with MCP server development?
Get a clear plan for United Kingdom teams—scope, timeline, and next steps. GBP-based engagements.
Reply within 2 hours. No-pressure consultation.