CUSTOM AI AGENTS & MCP SERVERS
AI agents built around your business, not a template.
We design and build bespoke AI agents and MCP servers that connect Claude and other models directly to your data, tools, and workflows. Production software, not no-code demos — the same way we built Meridian, our own SEO agent that runs inside Claude. If it should be secure, reliable, and yours, we build it properly.
What we build
MCP servers
Connect Claude or other assistants to your databases, analytics, and internal APIs so AI can work with your real data safely — the way Meridian connects to Google Search Console.
Workflow agents
Agents that carry out multi-step tasks across your systems: triage, routing, analysis, drafting, reporting — with the right guardrails and human checkpoints.
Internal copilots
Assistants trained on your documentation and processes, so your team can ask questions and act without leaving their tools.
No-code builder or bespoke? An honest answer
We will not pretend you always need custom software. No-code platforms like n8n are genuinely good for simple internal automations, and if that is all you need, we will tell you to use one.
They reach their limit when the agent must connect securely to proprietary data, survive production load, enforce real business rules, or be maintained as your systems change. At that point a bespoke build is more reliable and cheaper to own. That is the line we help you find — and the work we do well.
WE EAT OUR OWN COOKING
Meridian is an MCP server we built and run
Meridian connects Claude to Google Search Console through a production MCP server — 65 analysis tools, per-user authentication, usage-based billing. When we build an agent for you, this is the standard of engineering you get.
See how Meridian works →Common questions
What is a custom AI agent?
A custom AI agent is software that uses a large language model to carry out tasks against your specific data, tools, and rules — for example triaging your email, running analysis on your own database, or executing a workflow across your internal systems. Unlike a generic chatbot, it is built around your business and connected to your real systems.
What is an MCP server and why would my business need one?
An MCP (Model Context Protocol) server is a standard way to connect an AI assistant like Claude directly to your tools and data, so it can read and act on them safely. Businesses use MCP servers to let AI work with their real systems — analytics, databases, internal APIs — instead of being limited to what you paste into a chat window.
Should I use a no-code agent builder or have one built?
No-code builders are excellent for simple, internal automations. They struggle when the agent needs to connect securely to proprietary data, handle real production load, enforce business rules, or be maintained as your systems change. For anything customer-facing or business-critical, bespoke software is more reliable and cheaper to own over time.
Which AI models do you build with?
We are model-agnostic and choose based on the task — including Claude, which our own products are built around. We are not tied to a single provider and will recommend what fits your requirements, budget, and data-privacy constraints.
Have a workflow that should be an agent?
Tell us what it does today. We will tell you what it could do, and what it would take to build.
Discuss your build →