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How to connect Railway MCP with ChatGPT Work

Connect ChatGPT Work 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.

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How to connect Railway MCP with ChatGPT Work

ChatGPT Work is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.

In this guide, I will explain the easiest and most secure way to connect your Railway account to ChatGPT Work via Composio Connect, so it can create projects, inspect environments, trigger deployments, and manage rollbacks through natural language commands without ever putting your account credentials at risk.

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Why use Composio over default connectors?

  • Apps with read and write access. Default connectors mostly can read your data. Composio's Railway integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
  • 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
  • One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
  • Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
  • Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

Prerequisites

  • A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the ChatGPT desktop app, which is available on every plan.
  • Access to the Railway workspace you want to connect.
  • Composio MCP.

Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.

Step-by-step: Connect Railway to ChatGPT Work

1. Open the MCP settings

In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.

ChatGPT Work settings showing the Plugins page with the MCP tab selected

2. Add the server

Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

bash
https://connect.composio.dev/mcp
ChatGPT Work Add server dialog with the name Composio, type Streamable HTTP, and the Composio MCP URL

Then click Save. The Composio server now appears in your MCP plugins list.

ChatGPT Work Plugins page showing the Composio MCP server added to the list

3. Authenticate

Click Authenticate, log in via Composio, and click Allow access to authorize ChatGPT Work to use your Composio account.

Composio login and Allow access screen for ChatGPT Work MCP setup

4. Start using Composio

That is it - Composio tools are now available in ChatGPT Work. Ask it to work with your Railway account and it will run the actions you authorize.

What you can do after connecting Railway

  • Deploy latest commit to production service
  • List all services and environment variables
  • Create staging environment and deploy service

Security + privacy notes (important)

  • Use least-privilege access: Only grant permissions you actually need.
  • Review OAuth permissions before approving: Make sure requested scopes match what you expect Composio and ChatGPT Work to do.
  • Keep write actions human-reviewed: For actions like sending messages, creating labels, or editing drafts, keep manual confirmation enabled.
  • Be careful with sensitive data: Avoid using this setup with highly sensitive information unless allowed by your personal, company, or client policies.
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

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Claude Cowork

Use Railway MCP with Claude Cowork

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Hermes

Use Railway MCP with Hermes

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. ChatGPT Work 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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