Custom MCP Servers
The bridge between AI and your business systems. Built for your data, on your infrastructure, under your control.
AI Is Powerful. Connected AI Is Transformative.
An AI model on its own can answer questions and generate text. But it can't check your CRM, search your documents, query your database, or read your emails. It's isolated from the data that makes it useful for your specific business.
Model Context Protocol (MCP) solves this. An MCP server is a secure, controlled bridge that gives AI access to your internal systems. When a recruiter asks "find candidates with Python experience in Leeds", the AI queries your actual ATS database through the MCP server and returns real results.
We build custom MCP servers tailored to your systems, your data, and your security requirements. Every server runs on your infrastructure — no data leaves your network.
What We Connect AI To
If your system has an API or data interface, we can build an MCP server for it.
Databases
SQL Server, PostgreSQL, MySQL, MongoDB, and more. AI queries your data directly with read/write controls, field-level filtering, and rate limiting. No bulk exports, no data duplication.
Document Stores
SharePoint, Google Drive, Dropbox, local file servers, and document management systems. AI searches, reads, and summarises your documents without moving them anywhere.
CRM Systems
Salesforce, HubSpot, Microsoft Dynamics, Zoho, or custom CRMs. AI accesses client records, interaction history, and pipeline data to answer questions and generate insights.
Email Systems
Microsoft Exchange, Outlook, Gmail via IMAP. AI triages incoming mail, drafts responses, extracts action items, and routes messages — all within your mail infrastructure.
Accounting Software
Xero, Sage, QuickBooks, FreeAgent. AI processes invoices, reconciles transactions, and answers financial queries by reading your live accounting data.
ATS & HR Platforms
Bullhorn, JobAdder, Workday, BambooHR, or custom systems. AI screens candidates, searches your talent pool, and generates reports from your recruitment data.
ERP Systems
SAP, Oracle, NetSuite, or industry-specific ERPs. AI accesses operational data for reporting, analysis, and process automation across your business.
Custom APIs & Internal Tools
Any REST or GraphQL API, proprietary systems, legacy applications. If it has an interface, we can connect AI to it. No system is too old or too niche.
Anatomy of a Custom MCP Server
Every MCP server we build has four layers:
Connection Layer
Secure connectors to your systems — database drivers, API clients, file system access. Authenticated, encrypted, and tested.
Permissions Layer
Fine-grained access controls. Define exactly what the AI can read, write, and query. Field-level filtering hides sensitive data. Role-based rules give different users different capabilities.
Logic Layer
Business rules that shape how the AI interacts with your data. Query templates, response formatting, data validation, and error handling specific to your workflows.
Audit Layer
Every request logged: who asked, what was accessed, what was returned, when. Complete audit trail for compliance, security review, and usage monitoring.
Your Data Never Leaves Your Network
This is the fundamental difference between custom MCP servers and third-party AI plugins. Everything runs on your infrastructure:
Zero External Transmission
Data flows between your AI and your systems across your internal network only
No Third-Party Dependencies
No vendor middleware, no cloud relay, no supply chain risk
Airgap Compatible
Works in completely offline environments with zero internet connectivity
Kill Switch
Instantly disable AI access to any system if needed — you're always in control
MCP Servers by Industry
Recruitment
MCP connects AI to your ATS. Recruiters ask "find .NET devs in Manchester" and get real results from your candidate database. See recruitment AI →
Legal
MCP connects AI to your case management system and document store. Solicitors search precedents and draft letters using firm data. See legal AI →
Logistics
MCP connects AI to your TMS and customs software. Declarations auto-populate from commercial invoices. See logistics AI →
Accounting
MCP connects AI to Xero, Sage, or your practice management system. Invoices process automatically, queries answer instantly. See accounting AI →
MCP Servers — Common Questions
An MCP (Model Context Protocol) server is a secure bridge between an AI model and your business systems. It allows AI to query databases, search documents, read emails, and interact with internal tools — all through controlled, auditable channels that you define.
Virtually any system with an API or data interface: SQL and NoSQL databases, CRMs (Salesforce, HubSpot, Dynamics), document stores (SharePoint, Google Drive), email systems (Exchange, IMAP), accounting software (Xero, Sage), ATS platforms, ERP systems, custom internal tools, and REST or GraphQL APIs.
A single-system MCP server typically takes 1-2 weeks. Multi-system integrations with complex permissions and business logic take 3-6 weeks. We deliver working, tested servers — not prototypes.
Yes. Custom MCP servers run entirely on your infrastructure. Data never leaves your network. Every request is logged with full audit trails. You define exactly what the AI can access, down to individual database fields.
Need AI Connected to Your Systems?
Tell us what systems you use and we'll design an MCP architecture that makes AI genuinely useful for your team.
Discuss Your Integration