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How to integrate Railway MCP with Hermes

Connect Hermes to Railway MCP. Deploy latest commit to production service, list all services and environment variables, and more using natural language, with authentication handled for you.

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Railway MCP is Railway's hosted MCP server for managing projects, services, environments, variables, and deployments. Use it to automate deployments, inspect environments, and manage runtime configuration from AI agents.

26 Tools

Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.

This guide explains the easiest and most robust way to connect your Railway account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

Also integrate Railway MCP with

ChatGPT WorkClaude Cowork

What is Composio Connect?

Composio Connect is a consumer offering that lets anyone plug 1,500+ applications directly into their agent harness — including Hermes. It can:

  • Search and load tools from relevant toolkits on-demand, reducing context usage.
  • Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
  • Manage app authentication end-to-end with zero manual overhead.

Integrating Railway with Hermes

Using Composio Connect CLI

1. Install the Composio CLI

Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

bash
curl -fsSL https://composio.dev/install | bash
Hermes authenticating with Composio

2. Authenticate

Once the CLI is installed, ask Hermes to authenticate with Composio.

3. Connect to Railway

Ask your agent to connect to Railway, or simply request any Railway-related task. Hermes will prompt you to authenticate and authorize access.

4. Done. You're all set with a new Railway connection.

Using Composio Connect MCP

1. Get your MCP URL and API Key

Go to dashboard.composio.dev and copy your Connect MCP URL and API key.

Copy MCP URL and API key from Composio dashboard

2. Open the Hermes config file

bash
nano ~/.hermes/config.yaml

3. Add the Composio Connect MCP server

bash
mcp_servers:
  composio:
    url: "https://connect.composio.dev/mcp"
    headers:
      x-consumer-api-key: "YOUR_COMPOSIO_API_KEY"
    connect_timeout: 60
    timeout: 180

Save with Ctrl + O, Enter, then exit with Ctrl + X.

4. Restart your Hermes agent

Once restarted, ask your agent to connect to Railway or request any Railway-related task. It will prompt you to authenticate and authorize access.

5. Done!

What is the Railway MCP server, and what's possible with it?

The Railway MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Railway account. It provides structured and secure access so your agent can perform Railway operations on your behalf.

Way Forward

With Railway connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.

From here, you can extend Hermes further:

  • Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
  • Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
  • Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.

If you run into trouble or want to share what you've built, join the community or check out the Docs for deeper configuration options.

TOOLS

Supported Tools

Every Railway MCP action and event your agent gets out of the box.

Accept-deploy

DESTRUCTIVE: Commits all staged changes in a Railway environment and triggers a deploy.

Create-deployment

Create a new service from a GitHub repository and trigger its first deployment.

Create-project

Create a new Railway project

Create-service

Create a new service in a project from a Docker image, or an empty service to configure later (e.

Delete-feature-flag

Delete a project-scoped feature flag.

Fetch-docs

Fetch the full markdown content of a Railway documentation page by URL or slug (e.

Generate-domain

Expose a service publicly.

Get-feature-flag

Get a Railway feature flag (Signal) by name for a project or its parent workspace scope.

Get-logs

Get logs from Railway for a deployment — covers deploy (runtime), build, and http (proxy request) contexts.

Get-service-config

Get a service's configuration in an environment: source (repo/image), build settings, deploy settings (start command, healthcheck, replicas, cron, restart policy), networking, and volume mounts.

Get-service-metrics

Get resource usage metrics (CPU, memory, disk, network) for a service, summarized as current/average/min/max over a time window.

Get-status

Get the deployment status of a Railway project environment.

List-deployments

List recent deployments for a Railway project, optionally filtered by environment, service, or status.

List-domains

List all domains (Railway-generated service domains and custom domains) for a service in an environment.

List-feature-flags

List Railway feature flags (Signals) for a project and optionally the parent workspace.

List-projects

List all Railway projects accessible to the authenticated user

List-services

List all services and environments in a Railway project

List-variables

List all environment variables for a service, fully rendered (reference variables like ${{Postgres.

List-workspaces

List the Railway workspaces the current user belongs to.

Railway-agent

Send a message to Railway's AI agent for complex infrastructure operations.

Redeploy

Re-run the most recent deployment of a service in a given environment, reusing that deployment's existing build.

Search-docs

Search the Railway documentation (docs.

Set-feature-flag

Create a project-scoped feature flag or update its default value.

Set-variables

Set one or more environment variables on a service (or environment-wide shared variables when serviceId is omitted).

Update-service

Update a service's configuration: build/start/pre-deploy commands, healthcheck, sleep mode, root directory, cron schedule, Dockerfile path, restart policy, config file path, and watch patterns.

Whoami

Get the current authenticated Railway user's profile information

FRAMEWORKS

How to build Railway MCP Agent with another framework

ChatGPT Work logo

ChatGPT Work

Use Railway MCP with ChatGPT Work

Claude Cowork logo

Claude Cowork

Use Railway MCP with Claude Cowork

FAQ

Frequently asked questions

With a standalone Railway MCP server, the agents and LLMs can only access a fixed set of Railway tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Railway and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Railway tools.

Yes, absolutely. You can configure which Railway scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Railway data and credentials are handled as safely as possible.

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