MCP
Build & Implementation
AI Implementation
Offering Overview
The Build MCP Services offering focuses on designing and implementing Model Context Protocol (MCP) services that expose your organisation’s data, systems, and capabilities in a way that can be safely and effectively used by AI agents and agent frameworks.
These services can either integrate directly with existing legacy and backend systems, or be implemented as standalone services that introduce new logic and behaviour. In both cases, MCP services act as a controlled interface that makes business functionality discoverable, callable, and automatable by AI-driven systems.
Value
MCP services enable organisations to move beyond isolated AI experiments by making their core systems accessible to a rapidly growing ecosystem of AI agents, tools, and platforms.
Key benefits include:
- Unlocking existing systems by exposing data and functionality through standardised MCP interfaces
- Accelerating automation by allowing AI agents to safely invoke business capabilities
- Reducing integration effort compared to bespoke, point-to-point AI integrations
- Future-proofing services by aligning with an emerging, open ecosystem for agent-based AI
- Extending reach of existing features into new channels, workflows, and automated processes
This approach transforms systems from being human-operated only, into AI-operable platforms, without compromising governance or control.
Approach
Identify which systems, data, and business capabilities should be exposed via MCP.
Design MCP-compliant services, including tool contracts, resources, security, and integration patterns.
Build MCP services that either integrate with existing systems or introduce new standalone logic.
Apply authentication, authorisation, and guardrails to control how AI agents access capabilities.
Validate MCP services with representative agent frameworks and workflows.
Provide clear documentation and guidance to support adoption and future extension.
+ You Will Receive:
- One or more production-ready MCP services aligned to your agreed scope
- Integration with existing legacy or backend systems, or new standalone services where appropriate
- Clearly defined tools, resources, and actions exposed via MCP
- Security and access controls aligned to organisational policies
- Documentation describing capabilities, usage patterns, and constraints
- A foundation that enables AI agents to automate and orchestrate your services