Connect AI to every tool in your stack
We build custom MCP servers that give AI agents secure, real-time access to your APIs, databases, and internal tools. One open protocol, any model, any tool. First server live in 2-4 weeks.
How we de-risk this: free architecture review → paid discovery sprint (half up front, half on spec delivery - you own the spec) → then the full build.
The AI stack we build on
97M+
MCP package downloads/month
10K+
Community MCP servers available
1
Protocol to connect every tool
2-4 wk
First server live
Why Businesses Choose MCP Integrations
Standardised AI-Tool Communication
MCP replaces fragile, one-off integrations with a single open protocol. Build one MCP server per tool and every compatible AI client - Claude, Cursor, Windsurf, custom agents - can use it immediately. No more maintaining separate connectors for each model or framework.
Any Model, Any Tool
MCP is model-agnostic and tool-agnostic. Whether you run Claude, GPT, Gemini, or open-source models, and whether your tools are Salesforce, PostgreSQL, Jira, or a proprietary internal API - MCP provides the universal bridge. Swap models without rewriting integrations.
Real-Time Tool Use
MCP servers give AI agents live, two-way access to your systems. Agents can query databases, create tickets, update CRM records, trigger deployments, and pull fresh data mid-conversation. No stale exports or batch syncs - your AI works with the same live data your team does.
Secure by Design
MCP servers run inside your own infrastructure, so sensitive data never leaves your environment. The protocol supports granular permission scoping, transport-level authentication, and audit logging of every tool call. Role-based access controls ensure AI agents only reach what they are authorised to use.
Composable Agent Architecture
MCP servers are composable building blocks. Connect your CRM, database, project tracker, and communication tools as separate servers, then let AI agents orchestrate across all of them in a single workflow. Pair with our workflow automation services to build fully autonomous multi-step agent pipelines.
Future-Proof Investment
MCP is backed by Anthropic and adopted by major platforms including Block, Apollo, Replit, and Sourcegraph. As the ecosystem grows, every MCP server you build today becomes more valuable - instantly compatible with new AI clients, tools, and capabilities as they emerge.
Get a free architecture review - we will map your tools and show you which MCP servers would unlock the most value.
Book consultationHow We Build Your MCP Servers
- 1
Tool & API Audit
We map every tool, database, and API in your stack - CRMs, project trackers, internal services, cloud infrastructure - and identify which systems would deliver the most value as MCP servers. You get a prioritised integration roadmap with estimated timelines.
- 2
Server Architecture & Design
We design the MCP server schema for each integration - defining tools, resources, and prompts that AI agents will use. Authentication flows, permission scoping, and error handling are planned upfront. You review and approve the specification before any code is written.
- 3
Build & Test
Each MCP server is built using the official SDKs with full TypeScript type safety. We test every tool call against your live systems in a sandboxed environment, validating input handling, error responses, and edge cases. Automated test suites ensure reliability across AI client implementations.
- 4
Deploy & Iterate
MCP servers are deployed into your infrastructure - on-premises, cloud, or hybrid. We connect them to your AI clients (Claude Desktop, custom agents, IDE integrations) and validate end-to-end workflows. Post-launch, we monitor usage analytics, add new tools as needs evolve, and keep servers aligned with upstream API changes.
MCP Integration vs Custom API Integration
| Feature | MCP Integration | Custom API Integration |
|---|---|---|
| Protocol | Open standard, one interface for all tools | Bespoke code per tool per model |
| Model compatibility | Any MCP-compatible client works instantly | Tied to one model or framework |
| Adding new tools | Deploy a new server, all agents see it | Rewrite integration layer for each agent |
| Security model | Built-in auth, scoping, and audit logging | Custom security per integration |
| Maintenance | Update one server, all clients benefit | Update every point-to-point connector |
| Ecosystem | Growing library of community servers | Build everything from scratch |
MCP Integration Use Cases
CRM & Sales Intelligence
DevOps & Infrastructure
Project Management & Ticketing
Database & Analytics
Document & Knowledge Systems
Internal Tooling & Custom APIs
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Frequently Asked Questions
Let us map your stack to MCP
In a free 30-minute architecture review we will audit your tools, APIs, and databases and show you exactly which MCP servers would give your AI agents the biggest impact.
- Free demo on your real data - no commitment
- Paid discovery phase - half up front, half on spec delivery. You own the spec.
- Only then do we commit to the full build
Not ready for a call? Tell us where to reach you - we’ll reply with 3 tailored ideas for your business. No follow-up sequence, no spam.