Early Alpha Phase Be among the first to give your AI direct access to your databases, APIs, and tools. Claim Your Free Spot

You Time is
Billable.
The Boring
Tasks aren't.

It's Friday at 5:45 PM and your client just pinged — API down, logs needed. With MCP Express, your AI investigates directly so you don't have to. You control exactly what it can access.

No credit card required.

Claude Desktop
GitHub Copilot
Infrastructure Chat
Connected · Secure

Is my production database under heavy load?

MCP Express
Checking MCP Express logs for production-db...

Current CPU usage is 14%. No anomalies detected in the last 6 hours. Throughput remains steady at 1.2k req/s.

Any slow queries in the last hour?

Running slow_query_log analysis...

Found 3 slow queries averaging 2.4s. All from the reports_aggregation job. Not affecting user-facing traffic.

Add message...
Claude Sonnet

#reImagine Your Work

The tasks keeping you online after hours don't need you - they just need access.

01 The Deployment Broke. You're Already in Bed

A quick log check. Something you'd rather not boot up for. Your AI diagnoses the issue and tells you exactly what happened — without you switching back into work mode.

02 The "Quick Check" That Steals Your Evening

Database query. Server status. A client's content count. Three minutes each, somehow an hour total. Keep your AI connected to your live data and these happen without you.

03 Weekly Reports That Write Themselves

Same numbers, same format, same update — every single week. It's not hard, it's just yours to do for no good reason. Connect your data once and your AI handles the next one while you're doing something else.

04 The Fix You Figured Out Six Months Ago

You solved this once. The workaround, the exact API call, the reason that config exists. The answer is still in your systems — the logs, the configs, the query history. With MCP Express, your AI can actually reach it.

02:47 AM · Production
INCIDENT
deploy/api-v2.4.1 · FAILED
OOMKilled · exit 137 · ECS task
02:46
AI AGENT · DIAGNOSING
Fetching CloudWatch logs for api-v2.4.1
Cross-referencing last 3 deployments…
Comparing memory limits…
Task def v2.3.1 limit: 768Mi ✓
Task def v2.4.1 limit: 512Mi ✗
✓ Root cause: memory regression in v2.4.1
Diagnosed in 6s
You were never paged.

From Zero to AI-Powered Infrastructure in Minutes

01

Deploy Your MCP Server

Sign up and click "Create Server". Store your tools, credentials, and permissions for your AI to access. Create separate servers for each client environment.

02

Connect Your Stack

Pick from pre-built integrations: AWS CloudWatch, S3, Databases, and more. Set granular permissions per client — and you're operational.

03

Enable Your AI

Select Claude Desktop or GitHub Copilot and configure it. Restart and immediately start diagnosing production issues with natural language.

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 — from CloudWatch alarms to database state.

Action-Level Permissions

Can it read logs? Deploy? Scale instances? Modify configs? You decide — down to the specific action for each client environment.

Test Before You Trust

Test tool connections and permissions in a sandbox before exposing them to AI — know exactly how each tool behaves 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

Create isolated access profiles per client or team. Team A can't see Team B's infrastructure. Ever. Compliance and trust by design.

Detailed Server Insights

Every query, every action — a full audit trail. Compliance-ready logs for every infrastructure change your AI model makes.

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 tool?

We prioritize new integrations based on customer demand. Vote for what you need next.

Vote for Your Tool

Loved by Early Adopters

We gave select 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."

M
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."

I
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."

D
Dylan Rivera
DevOps

Frequently Asked

Everything you need to know before getting started with MCP Express.

What is MCP Express?

MCP Express is a platform that lets AI assistants like Claude and GitHub Copilot securely connect to your real infrastructure — databases, cloud services, monitoring tools, and more. You define what they can see and do, they handle the legwork.

How is this different from pasting logs into ChatGPT?

Instead of manually copying and pasting logs, MCP Express gives AI agents direct, secure access to your infrastructure. They pull fresh data, cross-reference multiple services, and take controlled actions — all without you lifting a finger.

Can I control what the AI is allowed to do?

Absolutely. Action-level permissions let you specify exactly what each AI can do — read-only, write, deploy, or nothing at all. You define the rules, the AI follows them.

Can I run multiple MCP servers?

Yes — this is core to how MCP Express works. Create a separate isolated server per client or environment. Each server has its own tools, credentials, and permissions. No overlap, no risk.

What problem does MCP Express solve in one sentence?

It gives your AI assistant direct, secure, permission-controlled access to your real infrastructure — so you can stop manually feeding it data and start actually automating DevOps work.

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.

No credit card required · Setup in under 5 minutes