Your AI, Your Systems
Now Working Together
Connect Claude, ChatGPT, and any AI agent to your databases, APIs, and internal tools in minutes. Query live systems in natural language, no more context switching or manual log hunting.
Request Early Access
You define the boundaries
AI operates within them
Use Cases
What You Can Do with MCP Express
Built for DevOps work that spans multiple clients, environments, and disconnected tool stacks.
Features
Everything you need to automate
Powerful features designed to help you build, deploy, and manage automations at scale.
Infrastructure Integration
Connect your monitoring, logs, and deployment tools. Your AI agent sees it all.
Action-Level Permissions
Your AI can read your logs, but can it deploy? Can it scale instances? Can it modify configs? You decide, down to the specific action.
Test Before You Trust
Test tool connections and permissions before exposing them to AI—so you know exactly how each tool behaves in each client environment before going live.
Context Window Optimization
Your AI gets exactly the data it needs, nothing more. No token waste. No hallucinated configs. Just relevant, recent, actionable information.
Isolated Client Environments
Managing multiple clients or internal teams? Create isolated access profiles. Team A can't see Team B's infrastructure. Ever.
Detailed Server Insights
Every query your AI model runs. Every action it takes. Full audit trail. Compliance-ready logs for every infrastructure change.
Testimonials
Loved by Early Adopters
We gave a select group of teams early access. Here’s what they had to say!
"Before MCP Express, I had to manually feed data into Claude just to get a simple answer. Now I ask Claude directly and it finds the best solution by looking at my system."
Michael Carter
Full-Stack Developer
"Managing multiple clients, it was hard to keep track of everything. With MCP Express, I just ask Claude what to prioritize and it filters everything by importance."
Isabella Flores
Freelancer
"Debugging used to mean checking multiple services manually. With MCP Express, my AI reviews logs, test runs, and error details on its own issues get resolved much faster."
Dylan Rivera
DevOps
How it Works
The MCP Express Difference
From zero to AI-powered Infrastructure in record time.
Deploy Your MCP Server
Sign up and click "Create Server". Store your tools, credentials, permissions, etc for your AI assistant to access. Create separate servers for each client environment.
Connect Your Stack
Pick from pre-built integrations like AWS CloudWatch, S3 Client, Databases, and more. Set granular permissions per client and you're operational.
Enable Your AI
Select your AI assistant among Claude Desktop/GitHub Copilot and configure it. Restart and immediately start diagnosing production issues across all your client environments with natural language.
Integrations
Connect to Your Entire Stack
Pre-built integrations that work out of the box.
PostgreSQL
AWS S3
AWS CloudWatch
AWS DynamoDB
MySQL
Mssql
SSH
Slack
Confluence
Rest API
Custom Code
Don't see your monitoring or deployment tools ?
We prioritize new integrations based on customer demand.
FAQ
Frequently asked questions
Here’s everything you need to know before getting started with MCP Express.
Ready to Connect AI to
Your Infrastructure?
Set up an MCP server in minutes and give your AI secure, controlled access to your existing tools—no code, no credit card required.