Connect AI agents to your real systems, securely
Custom built Model Context Protocol servers
bd@findatics.com
What We Deliver

The bridge between your AI agent and your business.

An AI agent is only as useful as what it can reach. Model Context Protocol gives agents like Claude and GPT a standardized way to call your tools, query your data, and take real action, instead of guessing from a static prompt.

We design, build, and deploy MCP servers around your actual systems, so your AI agents can read your database, trigger your workflows, and work inside your business, not just talk about it.

Developer building integrations on a laptop
Our Offerings

MCP services built for production, not demos.

Everything needed to get an AI agent safely connected to your systems.

Custom MCP Server Development

Purpose built servers that expose exactly the tools and data you want an agent to use, no more, no less.

Tool & API Integration

Connect agents to your CRM, database, accounting system, or any internal API through a single, consistent protocol.

Secure Access & Authentication

Scoped permissions, credential management, and audit logging, so an agent only ever touches what it is allowed to.

Multi Agent Orchestration

Coordinate several specialized agents, each with access to the right tools, working together on larger workflows.

Hosting & Deployment

Reliable, scalable hosting for your MCP servers, in your cloud environment or ours, with uptime you can count on.

Monitoring & Maintenance

Ongoing observability into what your agents are calling and when, plus updates as your tools and APIs evolve.

Benefits

What a proper MCP setup gives you.

Faster AI Adoption

Skip months of custom integration work with a standardized way to connect any agent to any tool.

Secure By Design

Every connection scoped, logged, and permissioned, so agents never get more access than intended.

Any Tool, Any Agent

One protocol works across Claude, GPT, and future models, so you are not locked into a single vendor.

Future Proof Architecture

Built on an open standard that keeps working as your tools, teams, and AI models change.

Where agents need real access

The systems businesses most often connect their AI agents to.

Internal Knowledge Bases CRM & Sales Tools Financial Systems Customer Support DevOps & Infrastructure Document Repositories
Why It Matters

What proper agent access changes.

Speed

Agents that can act on real data resolve tasks in minutes instead of routing them to a human queue.

Control

Fine grained permissions mean you decide exactly what an agent can see and do, tool by tool.

Scale

Add new tools and new agents to the same infrastructure without rebuilding integrations from scratch.

Featured Insights

Before you connect an agent to production, read this.

Developer working on server architecture
Architecture

Why MCP beats one off API integrations

A custom integration for every agent and every tool does not scale. One protocol, cleanly implemented, does.

Security lock icon on a screen
Security

What "giving an agent access" should actually mean

Full database access is rarely the right answer. Scoped, auditable, revocable access is what production requires.

Team planning system architecture on a whiteboard
Strategy

Picking the first tool to connect to your agent

Start with the tool that generates the most repetitive manual work. That is where an agent earns its keep fastest.

Ready to connect your agents?

Tell us which systems your team wishes an AI agent could just use, and we will show you how to get there.

Get in Touch