Connect Your AI to the Real World with MCP
I build and integrate Model Context Protocol servers so your AI agents can read files, query databases, call APIs, and take real actions.
The Problem
Your AI Is Stuck in a Sandbox
You've seen what AI can do — but your AI assistant only knows what's in its training data. It can't access your customer database, read your internal docs, or take actions in your business systems.
There's a massive gap between a general-purpose chatbot and an AI that actually understands your business. Your data lives in CRMs, databases, spreadsheets, and internal APIs. Your AI can't see any of it.
Without real-time access to your systems, your AI is limited to generic responses. It can't check inventory, look up customer history, or execute the specific actions that would make it genuinely useful for your team.
The Solution
MCP Gives Your AI Superpowers
Model Context Protocol (MCP) is Anthropic's open standard for connecting AI to external tools. It's the bridge between a chatbot and an AI agent that can actually do things in the real world.
I build custom MCP servers that give your AI secure, controlled access to your business systems. Your AI becomes an agent that understands your data and takes actions on your behalf.
Custom MCP Servers
Purpose-built servers that expose your specific tools, databases, and APIs to AI models.
Tool Definitions
Clean, well-documented tool specifications that AI models can understand and use correctly.
Context Injection
Dynamic context providers that give your AI real-time access to business data and state.
Claude Desktop Integration
Full integration with Claude Desktop for seamless AI-powered workflows.
What's Included
Complete MCP Implementation
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Requirements Audit
We map your systems, tools, and use cases to determine the optimal MCP architecture.
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MCP Server Architecture
A secure, scalable design for your MCP implementation with clear tool definitions.
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Build + Testing
Complete development with comprehensive testing across edge cases and failure scenarios.
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Claude/Agent Integration
Full integration with Claude Desktop, custom agents, or your existing AI infrastructure.
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Documentation
Complete technical documentation for maintenance, extension, and team onboarding.
"We gave our Claude agent access to our internal Notion docs and CRM in one afternoon. Avaab built the MCP server, documented every tool, and had us running in under a week. It's the single highest-leverage thing we've done with AI."
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Read article →Frequently Asked Questions
What is MCP (Model Context Protocol)?
MCP is an open standard by Anthropic that lets AI models like Claude connect to external tools, databases, and APIs. Instead of a chatbot that only knows what's in its training data, MCP gives your AI real-time access to your business systems.
Do I need Claude specifically for MCP?
Claude has the best native MCP support, but the protocol is open and other models are adding support. I can advise on the best setup for your use case.
What can an MCP server actually do?
Examples include: reading and writing files, querying your database, calling your internal APIs, browsing the web, sending emails, updating CRMs — essentially giving your AI agent hands.
Is this different from regular API integration?
Yes. Standard API integrations are one-directional and manually coded for each use case. MCP creates a standardized interface so your AI can dynamically decide which tools to use based on context.
How fast can we launch this mcp (model context protocol) development engagement?
Most engagements start with a strategy call, then a scoped execution plan within 3-5 business days. From there, delivery timelines depend on complexity, but we prioritize high-impact milestones first so you can see measurable results early.
Ready to Get Started?
Free discovery call · No commitment