Railway MCP Server – Projects and Deployments
Railway's official MCP server gives AI coding agents structured access to Railway projects and infrastructure. Use it to create projects, deploy services and templates, manage environments and variables, inspect logs, debug failures, and operate Railway from an MCP-compatible client.
Overview
Railway's official MCP server connects compatible AI coding agents to Railway
projects and infrastructure. It supports both a hosted remote service and a
local server built into the Railway CLI, allowing an agent to work with live
Railway resources instead of relying only on manually copied dashboard data.
What the MCP server enables
Railway provides different but complementary tool sets for local and remote
connections. Depending on the selected transport, authenticated account, and
project access, an AI agent can:
- List and create Railway projects.
- List and link services.
- Deploy services or Railway templates.
- Create and select environments.
- Retrieve and set environment variables.
- Generate Railway domains.
- Fetch deployment logs.
- Redeploy services.
- Stage and accept deployment changes.
- Delegate complex debugging, log analysis, and configuration tasks to the
hostedrailway-agenttool.
When to use it
Use Railway MCP when an AI workflow needs current Railway context or must
perform an authorized infrastructure action. Typical examples include creating
a new application project, deploying from a template, configuring environment
variables, generating a domain, debugging a failed deployment, reviewing logs,
redeploying a service, or coordinating multi-step Railway operations from an
IDE or coding agent.
Connection and authentication
Railway's hosted endpoint is https://mcp.railway.com. It requires a Railway
account and authenticates through an interactive OAuth flow in the browser. The
user chooses which workspaces and projects the client can access. Tokens are
short-lived and can be revoked from Railway account settings.
Railway also provides a local stdio server through the Railway CLI. Running
railway mcp starts the server and reuses the CLI's authenticated account and
linked project context. The local option is recommended for most coding-agent
workflows because it exposes a broader CRUD-oriented tool set.
Key considerations
Railway's MCP tools can deploy code, alter variables, and invoke live
infrastructure operations. Review every requested action before approval,
especially redeploy, accept-deploy, and railway-agent. The local server
intentionally excludes destructive tools, while the remote server marks
destructive operations at the protocol level so compliant clients can request
confirmation. Project tokens are not accepted by the remote server because
Railway requires a user identity for billing and audit trails. Prefer
non-critical environments for experimentation and restrict access to trusted
users and clients.
Supported Transports
streamable_http
URL: https://mcp.railway.com
stdio
Command: railway
Args:
mcp
Frequently Asked Questions
- When should an AI agent use the Railway MCP server?
- Use it when a workflow needs live Railway project or infrastructure context, such as creating projects, deploying services or templates, managing environments and variables, generating domains, inspecting logs, debugging deployments, or redeploying services.
- What does the Railway MCP server add to an AI agent's capabilities?
- It gives the agent structured access to current Railway resources and operational tools, allowing it to create, deploy, configure, inspect, and troubleshoot Railway infrastructure instead of relying only on static model knowledge or manually copied dashboard information.
- What can an AI agent access or manage through Railway MCP?
- Depending on the transport and permissions, the agent can work with projects, services, templates, deployments, environments, variables, domains, and logs. The remote server also exposes Railway's agent tool for multi-step debugging and service-configuration tasks.
- How is authentication configured for the Railway MCP server?
- The hosted server uses an interactive Railway OAuth flow with scoped access to selected workspaces and projects. The local stdio server reuses the authenticated Railway CLI session. Remote project-token authentication is not supported.
- Which transport should be used for the Railway MCP server?
- Use the local stdio transport through `railway mcp` for most coding-agent workflows and broader CRUD access. Use the hosted Streamable HTTP endpoint when no local CLI installation is desired or when a remote-only client must connect through Railway OAuth.