Custom MCP Servers
Design and build MCP servers that expose your databases, CRMs, internal APIs, and document sources to LLM applications in a controlled way.
Model Context Protocol · Manchester
MCP systems that give AI agents real business context
We design and build Model Context Protocol systems for Manchester and UK businesses that need agents to work with live tools, data, and workflows instead of operating in a sandbox of guesswork.
Scoped tool access · Audited every call · Production from day one
What we build
MCP servers, connectors, and agent workflows
MCP is the connective layer between powerful models and the systems your team actually uses. We focus on practical architecture, security, and production reliability.
Secure Tool Connectors
Connect Claude, OpenAI, and internal agents to live systems with scoped permissions, audit trails, and sensible guardrails around every tool call.
Agent Workflows
Build multi-step workflows where AI agents can inspect data, call business tools, and hand work back to humans without leaking context or overreaching.
Governance & Access Control
Enforce least-privilege access, tenant boundaries, structured logging, and project-level isolation so your AI systems can operate safely in production.
Use cases
Where MCP earns its place
Real operational work for Manchester and UK teams — not demos. Agents that read live data and complete tasks across the systems you already run.
Sales & RevOps
Let agents read CRM records, generate account briefs, draft follow-up actions, and update pipeline notes without manual copy-paste between systems.
Knowledge Operations
Connect document stores, wikis, support content, and SQL sources so agents can answer with live business context instead of stale prompt context.
Ops Automation
Trigger workflows across ticketing, scheduling, onboarding, analytics, and internal operations through MCP-connected tools and approval checkpoints.
The process
How we deliver MCP projects
We do not ship agent tooling as a demo. We build it as operational infrastructure with the right boundaries, observability, and rollback thinking from day one.
01
Discovery workshop
We map systems, permissions, and real operational use cases for your Manchester team.
02
MCP architecture
We design the architecture for your tools, data stores, and approval boundaries.
03
Implementation
We build the server and connectors in TypeScript or Python against your stack.
04
Test & harden
We test against realistic agent tasks and failure scenarios before go-live.
05
Deploy & monitor
We deploy with monitoring and iterative hardening for production use.
Good fit for MCP
Is MCP right for your team?
MCP is powerful when you already run real systems and want AI to operate inside them safely. You are a strong fit if any of these sound like your Manchester business.
Teams already running multiple internal systems and APIs
Businesses that want AI agents to work on live operational tasks
Environments where auditability and scoped access matter
Products that need tool use, retrieval, and action in one workflow
Related services
MCP Systems FAQs
Straight answers on how Model Context Protocol projects work in practice.
Get started
Need MCP built into your AI stack?
We can scope the right MCP architecture for your tools, governance requirements, and live workflows. Free discovery call for Manchester and UK businesses.