MCP Server Platform

Give Your AI Assistant Controlled
Infrastructure Access

MCP Express connects AI assistants to your monitoring systems, cloud infrastructure, and deployment tools. Query live systems in natural language—no more context switching or manual log hunting.

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▸ Chat Session: Claude Desktop

What's causing the high error rate in our production payment service?

AI

Checking CloudWatch logs and PostgreSQL metrics...

[MCP Express] Tool executed: cloudwatch.get_logs()

[MCP Express] Tool executed: postgres.query("SELECT status FROM transactions...")

AI

I've found the issue. The payment service has 12 failed transactions in the last 5 minutes due to a connection timeout in the DB pool. Would you like me to scale the RDS instance?

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.

Each MCP server holds one environment’s complete tool stack (AWS, databases, Slack, monitoring)—completely isolated from other clients. Perfect for consultants managing multiple environments without credential mixing.

MCP Express Use Cases Hero Image

Features

Everything you need to automate

Powerful features designed to help you build, deploy, and manage automations at scale.

No-Code Integration

Connect AI to your tools without writing, maintaining, or debugging custom integrations.

Test Before You Trust

Validate tool connections and permissions before exposing them to AI—so you know exactly how each tool behaves.

Control in Your Hands

You decide what your AI can see, query, or execute—down to the tool and action level.

Multiple Servers, Clean Separation

Run separate MCP servers for different infrastructures, environments, or workloads.

Built-In Server Analytics

See how your MCP servers are used and monitor performance over time.

Reliable Support When You Need It

Get help during setup and operation with clear documentation and responsive support—so you're never blocked when connecting critical tools or any issue comes up.

How it Works

The MCP Express Difference

See how AI evolves from a generic consultant to an integrated teammate.

Create an MCP Server

Sign up and click "Create Server". Deploy the secure gateway on your own infrastructure or use our managed instance.

Add Your Tools

Pick from ready-made tools like AWS, Slack, or Postgres. Enter credentials, define action-level permissions, and you're set.

Connect your AI

Copy the configuration snippet into Claude Desktop or GitHub Copilot. Restart your AI and start asking real-world questions.

Integrations

Connect to everything you use

Pre-built integrations that work out of the box.

AWS CloudWatch

AWS S3

AWS DynamoDB

PostgreSQL

MySQL

Mssql

SSH

Rest API

Slack

Confluence

Custom Code

FAQ

Frequently asked questions

Here’s everything you need to know before getting started with MCP Express. For further queries, please reach out to us freely.

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.

Try for free