Model Context Protocol (MCP)
Make your enterprise systems first-class citizens to every LLM.
MCP is the open standard that lets any LLM client (Claude Desktop, Copilot Studio, your own agents) discover and call your tools, resources and prompts. I design and ship MCP servers that meet enterprise bars for security, observability and evals.
What an MCP engagement delivers
- Tool catalog design — which workflows in your ERP, ticketing, GIS, BI and document stores deserve to be tools, and how they should be parameterised.
- MCP server implementation — TypeScript / Python servers exposing tools, resources and prompts, with strict input/output schemas.
- AuthN / AuthZ — OAuth, mTLS, on-behalf-of flows, row/record-level access mirrored from the source system.
- Audit & observability — every tool call logged with prompts, parameters, outputs and user identity for compliance.
- Evaluation & guardrails — golden test sets, regression suites, PII redaction, rate-limits and policy filters.
- Distribution — internal MCP registry, versioning, and onboarding docs for agent builders across the organisation.
Where MCP servers create the most value
- Document & case lookup over an Enterprise Knowledge Graph.
- Ticketing / ITSM actions (create, update, search) for IT and ops copilots.
- BI & analytics — natural-language access to Power BI / SQL / data warehouses with row-level security.
- GIS / field operations — spatial queries, work-order creation, inspection capture.
- HR, finance and procurement self-service that respects policy.
How it fits with your platform
MCP servers sit between your on-premise LLM platform and your systems of record. Agents built with LangGraph, Semantic Kernel or Copilot Studio call MCP tools instead of bespoke plugins — so capability built once is reusable across every assistant you ship.