About railwayapp
This deprecated npm package is a compatibility shim that launches railway mcp from the Railway CLI, which now bundles the Railway MCP server. It suits users with existing configs who need to move to the CLI-based setup.
Key features
- 01Compatibility shim for existing configurations
- 02Launches local stdio server via railway mcp
- 03Client configuration through railway mcp install
- 04Optional remote server setup with --remote
- 05Migration instructions when the CLI is missing
Use cases
- 01Migrating old npx-based MCP client entries to the Railway CLI
- 02Configuring supported MCP clients for Railway from the command line
MCP support
The package no longer contains a standalone MCP server; it starts railway mcp as a local stdio MCP server and can also configure the hosted remote MCP server.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
14Saved tool list · updated 2w ago
This tool takes no parameters.
Details
From the project README@railway/mcp-server is deprecated
Railway MCP is now bundled into the Railway CLI.
This npm package no longer contains the standalone TypeScript MCP server. It is a compatibility shim that launches:
railway mcp
Migration
Install or upgrade the Railway CLI:
bash <(curl -fsSL https://railway.com/install.sh)
Then configure supported MCP clients:
railway mcp install
To configure the hosted MCP server instead of the local stdio server:
railway mcp install --remote
You can also configure a local MCP client directly with:
{
"mcpServers": {
"railway": {
"command": "railway",
"args": ["mcp"]
}
}
}
Remove old client entries that run:
npx -y @railway/mcp-server
Compatibility
For existing configs that still invoke @railway/mcp-server, this package delegates to railway mcp.
If the Railway CLI is missing, the package exits with migration instructions.
Docs
See the Railway CLI MCP docs: https://docs.railway.com/cli/mcp
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.