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MCP is an open protocol that standardises how AI assistants connect to external tools, data sources, and services. It defines a consistent interface so models can discover capabilities and request actions safely.
MCP reduces custom integration work and makes tool-enabled AI systems easier to scale, audit, and maintain across different applications.
A coding assistant uses an MCP server to access repository search, issue tracking, and deployment tooling through one protocol.
Tool Calling
Tool calling is the process where an AI model decides to invoke an external capability, such as search, code execution, or database lookup, to complete a task.
API (Application Programming Interface)
An API is a set of rules and protocols that allows different software applications to communicate with each other. In AI, APIs let developers integrate AI capabilities — like text generation or image analysis — into their own applications without building models from scratch.
Skill
A skill is a reusable capability package that gives an AI assistant domain-specific instructions, workflows, and constraints for a class of tasks.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.