Connect Your AI to Everything
Custom MCP servers that give your AI access to your databases, APIs, and business tools. One chat interface for all your data. Works with Claude, OpenAI, Gemini, and more.
What We Build
Custom MCP servers tailored to your specific tools and workflows.
API Integrations
Connect your AI to any service with an API. CRMs, databases, project management tools, analytics platforms, and more.
Database Connections
Query your databases directly from your AI assistant. PostgreSQL, MySQL, MongoDB, Supabase, and custom data stores.
File System Access
Read, write, and manage files. Process documents, generate reports, and work with your local or cloud storage.
Custom Business Logic
Build MCP servers that encode your specific workflows, validation rules, and business processes.
Why Build Custom MCP Servers?
One Chat, All Your Data
Stop switching between tools. Connect your CRM, docs, analytics, and databases to a single AI conversation.
Private & Secure
Your MCP server runs in your own environment. Your data never leaves your infrastructure unless you want it to.
No Vendor Lock-in
MCP is an open protocol. Switch models or providers anytime without rebuilding your integrations.
Built for Your Workflow
Custom servers designed around how you actually work, not how software vendors think you should.
How It Works
Discovery Call
We discuss your tools, data sources, and what you want your AI to do. No technical knowledge required.
Architecture & Proposal
We design the MCP server architecture and provide a clear proposal with scope and timeline.
Development
We build your custom MCP server with full testing. You get progress updates throughout.
Deployment & Training
We deploy to your environment and train you on using your AI assistant with your new capabilities.
Example Use Cases
Here's what becomes possible when your AI can access your systems.
"Pull last month's sales data and draft the board report"
Your AI queries your database, pulls the numbers, and drafts a narrative summary in your preferred format.
"Check if this customer has any open support tickets"
Your AI searches your helpdesk and CRM, giving you a complete picture without switching apps.
"Create a new project in Linear based on this Slack thread"
Your AI reads the thread, extracts requirements, and creates a properly formatted project with tasks.
"Summarise all docs in the Q4 Planning folder"
Your AI accesses your file storage, reads the documents, and creates an executive summary.
Frequently Asked Questions
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What is MCP?
Model Context Protocol (MCP) is an open standard that lets AI models connect to external tools and data sources. It's like giving your AI hands to interact with your business systems.
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Which AI providers do you work with?
We're provider-agnostic. We work with Claude, OpenAI (GPT-4), Google Gemini, and other LLMs. MCP is an open protocol, so your integrations work across providers.
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What tools can you connect?
Any tool with an API. This includes CRMs (HubSpot, Salesforce), databases (PostgreSQL, MongoDB), project tools (Notion, Linear), analytics platforms, custom internal tools, and more.
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Is my data secure?
Yes. MCP servers run in your own environment. Data flows directly between your AI and your systems - we don't store or have access to your data after deployment.
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Do I need technical skills to use this?
No. Once deployed, you interact using natural language. We handle all the technical setup and provide training on how to get the most from your new capabilities.
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What happens if I want to change AI providers?
MCP is an open protocol supported by multiple AI providers. Your investment is protected - the same MCP server can work with different models as the ecosystem evolves.
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How long does a typical project take?
Simple integrations can be done in days. More complex multi-system projects typically take 2-4 weeks. We'll give you a clear timeline during the discovery call.
Ready to Connect Your AI to Your Tools?
Book a call to discuss what you want to build. No technical knowledge required.