Integrate Railway with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can I target specific environments (like Staging vs Production)?

Yes. Each API operation supports passing explicit projectid and environmentid variables, ensuring the AI performs operations strictly inside your requested boundaries.

Equip your AI with direct access to your Railway infrastructure — manage projects, deployments, services, and environment variables.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create project on Railway

Creates a new Railway project

delete

Delete project on Railway

This action is irreversible. Deletes a Railway project

get

Get project on Railway

Retrieves details for a specific Railway project

get

Get service instances on Railway

Retrieves runtime configuration for a service

list

List deployments on Railway

Lists deployments for a specific project, environment, and service

list

List projects on Railway

Lists all Railway projects accessible by the token

list

List variables on Railway

Lists environment variables for a service

restart

Restart service on Railway

Restarts a running service instance

trigger

Trigger deploy on Railway

Triggers a new deployment for a service

action

Whoami on Railway

Retrieves the authenticated Railway user profile

Security & Code Integrity Audit

Every tool in the Railway MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Can I target specific environments (like Staging vs Production)?

Yes. Each API operation supports passing explicit project_id and environment_id variables, ensuring the AI performs operations strictly inside your requested boundaries.

Automated Workflows using Railway

Add the Railway tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.

deployment & AI Execution

Connect Railway to provide your chatbots with deployment capabilities. The integration manages the backend execution for loved by devs workflows.

Cursor Copilot for cloud hosting

Use the Railway server to execute cloud hosting operations from your AI agent. The protocol manages state and authentication for continuous loved by devs workflows.