# How to integrate Railway MCP with Hermes

```json
{
  "title": "How to integrate Railway MCP with Hermes",
  "toolkit": "Railway MCP",
  "toolkit_slug": "railway_mcp",
  "framework": "Hermes",
  "framework_slug": "hermes-agent",
  "url": "https://composio.dev/toolkits/railway_mcp/framework/hermes-agent",
  "markdown_url": "https://composio.dev/toolkits/railway_mcp/framework/hermes-agent.md",
  "updated_at": "2026-08-25T05:33:47.803Z"
}
```

## 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 Work](https://composio.dev/toolkits/railway_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/railway_mcp/framework/claude-cowork)

## TL;DR

### 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.

## Connect Railway MCP to Hermes

### 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
```

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RAILWAY_MCP_ACCEPT_DEPLOY` | Accept-deploy | DESTRUCTIVE: Commits all staged changes in a Railway environment and triggers a deploy. Only use this when the user has explicitly confirmed they want to deploy. |
| `RAILWAY_MCP_CREATE_DEPLOYMENT` | Create-deployment | Create a new service from a GitHub repository and trigger its first deployment. The repo must be one the authenticated user has connected via GitHub. Returns the new service; use get-status or list-deployments to follow the deploy. Before calling this tool you MUST have a GitHub repo to deploy. If the user has not provided one, do not guess — first ask them which GitHub repo to deploy (in 'owner/name' form). If they don't have a repo yet, offer to help create one: if you have tools available to create a GitHub repository (e.g. a GitHub MCP server or `gh` CLI), offer to scaffold and push one for them; otherwise point them to create a repo on GitHub and share its 'owner/name'. Only call this tool once a concrete repo has been confirmed. |
| `RAILWAY_MCP_CREATE_PROJECT` | Create-project | Create a new Railway project |
| `RAILWAY_MCP_CREATE_SERVICE` | Create-service | Create a new service in a project from a Docker image, or an empty service to configure later (e.g. before setting variables and attaching a source). To create a service from a GitHub repository, use create-deployment instead. |
| `RAILWAY_MCP_DELETE_FEATURE_FLAG` | Delete-feature-flag | Delete a project-scoped feature flag. Workspace-scoped flags cannot be deleted from project context. |
| `RAILWAY_MCP_FETCH_DOCS` | Fetch-docs | Fetch the full markdown content of a Railway documentation page by URL or slug (e.g. 'https://docs.railway.com/quick-start' or 'reference/variables'). Use search-docs first to find the right page. |
| `RAILWAY_MCP_GENERATE_DOMAIN` | Generate-domain | Expose a service publicly. Without `domain`, generates a Railway *.up.railway.app service domain (if the service already has domains, they are returned instead of creating another). With `domain`, attaches a custom domain you own and returns the DNS records the user must create for it to verify. If environmentId is omitted, the production environment is used. |
| `RAILWAY_MCP_GET_FEATURE_FLAG` | Get-feature-flag | Get a Railway feature flag (Signal) by name for a project or its parent workspace scope. |
| `RAILWAY_MCP_GET_LOGS` | Get-logs | Get logs from Railway for a deployment — covers deploy (runtime), build, and http (proxy request) contexts. Pass a specific deploymentId, or pass serviceId + environmentId to resolve the latest deployment. Use `types` to choose which streams to return (default: ['deploy']). |
| `RAILWAY_MCP_GET_SERVICE_CONFIG` | 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. Variable names are listed but values are not included — use list-variables for values. If environmentId is omitted, the production environment is used. |
| `RAILWAY_MCP_GET_SERVICE_METRICS` | Get-service-metrics | Get resource usage metrics (CPU, memory, disk, network) for a service, summarized as current/average/min/max over a time window. Defaults to CPU_USAGE and MEMORY_USAGE_GB over the last hour. If environmentId is omitted, the production environment is used. |
| `RAILWAY_MCP_GET_STATUS` | Get-status | Get the deployment status of a Railway project environment. Returns project + environment metadata and, for each service in the environment, its latest deployment status, replica count, and cron schedule. If environmentId is omitted, the project's `production` environment is used when present, otherwise the oldest environment. |
| `RAILWAY_MCP_LIST_DEPLOYMENTS` | List-deployments | List recent deployments for a Railway project, optionally filtered by environment, service, or status. Returns the most recent first. |
| `RAILWAY_MCP_LIST_DOMAINS` | List-domains | List all domains (Railway-generated service domains and custom domains) for a service in an environment. If environmentId is omitted, the production environment is used. |
| `RAILWAY_MCP_LIST_FEATURE_FLAGS` | List-feature-flags | List Railway feature flags (Signals) for a project and optionally the parent workspace. Project flags are editable with admin access; workspace flags are read-only from project context. |
| `RAILWAY_MCP_LIST_PROJECTS` | List-projects | List all Railway projects accessible to the authenticated user |
| `RAILWAY_MCP_LIST_SERVICES` | List-services | List all services and environments in a Railway project |
| `RAILWAY_MCP_LIST_VARIABLES` | List-variables | List all environment variables for a service, fully rendered (reference variables like ${{Postgres.DATABASE_URL}} are resolved). With a Railway session or API token, values are returned in plaintext and may contain secrets. Connected OAuth apps receive variable names only. If environmentId is omitted, the production environment is used. |
| `RAILWAY_MCP_LIST_WORKSPACES` | List-workspaces | List the Railway workspaces the current user belongs to. Use a workspace ID with create-project to choose where a project is created. |
| `RAILWAY_MCP_RAILWAY_AGENT` | Railway-agent | Send a message to Railway's AI agent for complex infrastructure operations. The agent can inspect services, diagnose issues, and take actions on your behalf. |
| `RAILWAY_MCP_REDEPLOY` | Redeploy | Re-run the most recent deployment of a service in a given environment, reusing that deployment's existing build. Only works on a service that has already deployed in that environment — check with list-deployments if you are unsure. This does NOT give a service its first deployment: if it has never deployed, nothing here can deploy it, and create-deployment would build a separate new service from a GitHub repo rather than deploying this one. |
| `RAILWAY_MCP_SEARCH_DOCS` | Search-docs | Search the Railway documentation (docs.railway.com) for features, configuration, guides, and tutorials. Returns matching sections with URLs — use fetch-docs to read a full page. |
| `RAILWAY_MCP_SET_FEATURE_FLAG` | Set-feature-flag | Create a project-scoped feature flag or update its default value. Use list-feature-flags and get-feature-flag to inspect existing flags first. |
| `RAILWAY_MCP_SET_VARIABLES` | Set-variables | Set one or more environment variables on a service (or environment-wide shared variables when serviceId is omitted). Existing variables with the same name are overwritten; others are left unchanged. Reference syntax like ${{Postgres.DATABASE_URL}} is supported. Affected services are redeployed unless skipDeploys is true. |
| `RAILWAY_MCP_UPDATE_SERVICE` | 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. Only the fields you pass are changed. Changes apply on the service's next deployment (use redeploy to apply immediately). Scaling (replicas/regions) and source changes are not handled by this tool. |
| `RAILWAY_MCP_WHOAMI` | Whoami | Get the current authenticated Railway user's profile information |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Railway MCP server provides comprehensive access to Railway operations through Composio. Once connected, Hermes can perform all major Railway actions on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### 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](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=hermes&utm_content=docs) for deeper configuration options.

## How to build Railway MCP Agent with another framework

- [ChatGPT Work](https://composio.dev/toolkits/railway_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/railway_mcp/framework/claude-cowork)

## Related Toolkits

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- [AWS Marketplace MCP](https://composio.dev/toolkits/aws_marketplace_mcp) - AWS Marketplace MCP provides MCP access to AWS Marketplace's cloud software, data, and services catalog. Use it to discover, compare, and evaluate 30K+ AWS Marketplace listings faster.
- [Azure Monitor Activity Log](https://composio.dev/toolkits/azure_monitor_activity_log) - Azure Monitor Activity Log is Azure's service that records management and control-plane events for a subscription. Use it to audit changes, troubleshoot issues, and track resource operations across your Azure resources.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Railway MCP?

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.

### Can I use Tool Router MCP with Hermes?

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.

### Can I manage the permissions and scopes for Railway while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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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