Railway
Unclaimed verified 24 aug 2026Ship software peacefully with the all-in-one intelligent cloud provider
TL;DR
Railway is a deployment platform that lets developers ship applications, databases, and services from a GitHub repo or Docker image with automatic builds via Nixpacks/Railpack. It targets indie developers, startups, and small product teams who want to avoid cloud infrastructure complexity. Its key differentiator is the visual infrastructure canvas combined with per-second usage-based billing.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Railway positions itself between traditional PaaS platforms like Heroku and Render and full cloud providers like AWS. Instead of manually configuring servers, users connect a GitHub repository or deploy via Docker/CLI, and Railway handles builds, networking, scaling, and rollbacks. The visual canvas is genuinely distinct from most CLI-first PaaS products, letting teams see services, databases, volumes, and environments in one graph — a strong fit for smaller teams without dedicated DevOps expertise. The platform's strengths are clear: automatic build configuration from code, built-in databases and object storage, instant private networking, load balancing, auto-scaling, and integrated observability. For a side project or MVP, the time-to-deploy is measured in minutes, and the per-second billing model means you only pay for resources you actually consume. The documented workflow around GitHub, Docker, and the Railway CLI is smooth, and the public updates/status pages show an actively maintained product. The biggest limitations are cost predictability and control. Usage-based billing can be a double-edged sword: a traffic spike or a long-running build can produce an unexpected invoice, and the $5/month minimum on the Hobby plan disqualified true free usage. Enterprises with strict compliance, custom VPC, IAM, or multi-cloud requirements will find Railway's governance features limited. The ecosystem is also narrower than AWS or Heroku — there are no official Zapier/n8n/Make connectors, and the API is GraphQL-only. Overall, Railway is best suited for indie developers, early-stage startups, and product teams that want velocity over infrastructure control. It is not well suited for organizations that need fine-grained cloud governance or a zero-cost hobby tier. If the product continues to mature its enterprise controls while keeping developer experience front-and-center, it could become a serious alternative to the older PaaS generation.
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Pros
- + Automatic configuration from code via Nixpacks/Railpack supports many languages and frameworks with minimal setup (Railway docs).
- + Built-in databases, object storage, private networking, load balancing, auto-scaling, and preview environments are all part of the core platform (Railway docs).
- + Per-second, usage-based pricing for actual CPU/memory usage makes it cost-efficient for low-traffic applications (Railway pricing page).
- + Solid workflow integrations: GitHub, Docker, Railway CLI, and GitHub Actions are documented and actively maintained (Railway docs).
- + Global deployment regions with one-click rollbacks and integrated metrics, structured logs, and alerts (Railway docs).
Cons
- - No permanent free tier — only a one-time trial credit, and the Hobby plan has a $5/month minimum (Railway pricing page).
- - Usage-based billing can become unpredictable under traffic spikes or long-running builds, requiring careful monitoring.
- - Limited infrastructure control compared to major clouds; no custom VPC, IAM, or compliance features in the core product (Railway docs).
- - GraphQL-only public API and fewer third-party automation connectors (no official Zapier, Make, or n8n integrations) than older PaaS platforms.
- - Pricing transparency issues (no real-time cost during build) and community reports of sudden charges for forgotten deployments, though no verified quotes were found in this search.
Agent Readiness
62/100Railway is moderately agent-ready. It exposes a public GraphQL API (backboard.railway.com/graphql/v2) with bearer-token authentication, making it possible to programmatically create projects, services, deployments, databases, variables, and environments. Integration options are centered on GitHub, Slack/Discord/email, and webhooks rather than automation platforms like Zapier or n8n. The documentation is clear, and the changelog (railway.com/updates) and status page (status.railway.com) are open resources; however, the GraphQL-only API and the absence of a permanent free tier increase the friction for low-cost autonomous agents.
Last checked Aug 22, 2026
MCP Integrations
6 servers44 tools1,826 total usesProvide a simple API interface to search and filter 12306 train tickets, including direct, transfer, and stopover queries. Enable large language models to access real-time 12306 ticket information efficiently. Enhance user experience by integrating comprehensive train ticket search capabilities.
8 tools
get-current-date获取当前日期，以上海时区（Asia/Shanghai, UTC+8）为准，返回格式为 "yyyy-MM-dd"。主要用于解析用户提到的相对日期（如“明天”、“下周三”），为其他需要日期的接口提供准确的日期输入。get-stations-code-in-city通过中文城市名查询该城市 **所有** 火车站的名称及其对应的 `station_code`，结果是一个包含多个车站信息的列表。get-station-code-of-citys通过中文城市名查询代表该城市的 `station_code`。此接口主要用于在用户提供**城市名**作为出发地或到达地时，为接口准备 `station_code` 参数。get-station-code-by-names通过具体的中文车站名查询其 `station_code` 和车站名。此接口主要用于在用户提供**具体车站名**作为出发地或到达地时，为接口准备 `station_code` 参数。get-station-by-telecode通过车站的 `station_telecode` 查询车站的详细信息，包括名称、拼音、所属城市等。此接口主要用于在已知 `telecode` 的情况下获取更完整的车站数据，或用于特殊查询及调试目的。一般用户对话流程中较少直接触发。get-tickets查询12306余票信息。get-interline-tickets查询12306中转余票信息。尚且只支持查询前十条。get-train-route-stations查询特定列车车次在指定区间内的途径车站、到站时间、出发时间及停留时间等详细经停信息。当用户询问某趟具体列车的经停站时使用此接口。
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Agents-first viral-hook engine: generate, score, and remix short-form hooks over MCP.
Develop, manage, and debug Railway projects, services, and deployments from within agents.
Manage your Railway.app infrastructure effortlessly. Deploy services, manage variables, and monitor deployments using natural language commands. Streamline your development workflow with AI-driven interactions.
36 tools
database_list_types[QUERY] List all available database types that can be deployed using Railway's official templates ⚡️ Best for: ✓ Discovering supported database types ✓ Planning database deployments ✓ Checking template availability ⚠️ Not for: × Listing existing databases × Getting database connection details → Alternatives: service_create_from_image → Next steps: database_deploy → Related: database_deploy, service_create_from_imagedatabase_deploy_from_template[WORKFLOW] Deploy a pre-configured database using Railway's official templates and best practices ⚡️ Best for: ✓ Standard database deployments ✓ Quick setup with security defaults ✓ Common database types (PostgreSQL, MongoDB, Redis) ⚠️ Not for: × Custom database versions × Complex configurations × Unsupported database types → Prerequisites: database_list_types → Alternatives: service_create_from_image → Next steps: variable_list, service_info → Related: volume_create, service_updatedeployment_list[API] List recent deployments for a service in a specific environment ⚡️ Best for: ✓ Viewing deployment history ✓ Monitoring service updates → Prerequisites: service_list → Next steps: deployment_logs, deployment_trigger → Related: service_info, service_restartdeployment_trigger[API] Trigger a new deployment for a service ⚡️ Best for: ✓ Deploying code changes ✓ Applying configuration updates ✓ Rolling back to previous states ⚠️ Not for: × Restarting services (use service_restart) × Updating service config (use service_update) × Database changes → Prerequisites: service_list → Alternatives: service_restart → Next steps: deployment_logs, deployment_status → Related: variable_set, service_updatedeployment_logs[API] Get logs for a specific deployment ⚡️ Best for: ✓ Debugging deployment issues ✓ Monitoring deployment progress ✓ Checking build output ⚠️ Not for: × Service runtime logs × Database logs → Prerequisites: deployment_list → Next steps: deployment_status → Related: service_info, deployment_triggerdeployment_status[API] Check the current status of a deployment ⚡️ Best for: ✓ Monitoring deployment progress ✓ Verifying successful deployments ✓ Checking for deployment failures ⚠️ Not for: × Service runtime logs × Database logs → Prerequisites: deployment_list, deployment_trigger → Next steps: deployment_logs → Related: service_info, service_restart, deployment_waitdomain_list[API] List all domains (both service and custom) for a service ⚡️ Best for: ✓ Viewing service endpoints ✓ Managing domain configurations ✓ Auditing domain settings → Prerequisites: service_list → Next steps: domain_create, domain_update → Related: service_info, tcp_proxy_listdomain_create[API] Create a new domain for a service ⚡️ Best for: ✓ Setting up custom domains ✓ Configuring service endpoints ✓ Adding HTTPS endpoints ⚠️ Not for: × TCP proxy setup (use tcp_proxy_create) × Internal service communication → Prerequisites: service_list, domain_check → Alternatives: tcp_proxy_create → Next steps: domain_update → Related: service_info, domain_listdomain_check[API] Check if a domain is available for use ⚡️ Best for: ✓ Validating domain availability ✓ Pre-deployment checks ✓ Domain planning → Next steps: domain_create → Related: domain_listdomain_update[API] Update a domain's configuration ⚡️ Best for: ✓ Changing target ports ✓ Updating domain settings ✓ Reconfiguring endpoints ⚠️ Not for: × Changing domain names (delete and recreate instead) × TCP proxy configuration → Prerequisites: domain_list → Next steps: domain_list → Related: service_updatedomain_delete[API] Delete a domain from a service ⚡️ Best for: ✓ Removing unused domains ✓ Cleaning up configurations ✓ Domain management ⚠️ Not for: × Temporary domain disabling × Port updates (use domain_update) → Prerequisites: domain_list → Alternatives: domain_update → Related: service_updateproject_list[API] List all projects in your Railway account ⚡️ Best for: ✓ Getting an overview of all projects ✓ Finding project IDs ✓ Project discovery and management → Next steps: project_info, service_list → Related: project_create, project_deleteproject_info[API] Get detailed information about a specific Railway project ⚡️ Best for: ✓ Viewing project details and status ✓ Checking environments and services ✓ Project configuration review → Prerequisites: project_list → Next steps: service_list, variable_list → Related: project_update, project_deleteproject_create[API] Create a new Railway project ⚡️ Best for: ✓ Starting new applications ✓ Setting up development environments ✓ Creating project spaces ⚠️ Not for: × Duplicating existing projects → Next steps: service_create_from_repo, service_create_from_image, database_deploy → Related: project_delete, project_updateproject_delete[API] Delete a Railway project and all its resources ⚡️ Best for: ✓ Removing unused projects ✓ Cleaning up test projects ⚠️ Not for: × Temporary project deactivation × Service-level cleanup (use service_delete) → Prerequisites: project_list, project_info → Alternatives: service_delete → Related: project_createproject_environmentsList all environments in a projectservice_list[API] List all services in a specific Railway project ⚡️ Best for: ✓ Getting an overview of a project's services ✓ Finding service IDs ✓ Checking service status → Prerequisites: project_list → Next steps: service_info, deployment_list → Related: project_info, variable_listservice_info[API] Get detailed information about a specific service ⚡️ Best for: ✓ Viewing service configuration and status ✓ Checking deployment details ✓ Monitoring service health → Prerequisites: service_list → Next steps: deployment_list, variable_list → Related: service_update, deployment_triggerservice_create_from_repo[API] Create a new service from a GitHub repository ⚡️ Best for: ✓ Deploying applications from source code ✓ Services that need build processes ✓ GitHub-hosted projects ⚠️ Not for: × Pre-built Docker images (use service_create_from_image) × Database deployments (use database_deploy) × Static file hosting → Prerequisites: project_list → Alternatives: service_create_from_image, database_deploy → Next steps: variable_set, service_update → Related: deployment_trigger, service_infoservice_create_from_image[API] Create a new service from a Docker image ⚡️ Best for: ✓ Custom database deployments ✓ Pre-built container deployments ✓ Specific version requirements ⚠️ Not for: × Standard database deployments (use database_deploy) × GitHub repository deployments (use service_create_from_repo) × Services needing build process → Prerequisites: project_list → Alternatives: database_deploy, service_create_from_repo → Next steps: variable_set, service_update, tcp_proxy_create → Related: volume_create, deployment_triggerservice_update[API] Update a service's configuration ⚡️ Best for: ✓ Changing service settings ✓ Updating resource limits ✓ Modifying deployment configuration ⚠️ Not for: × Updating environment variables (use variable_set) × Restarting services (use service_restart) × Triggering new deployments (use deployment_trigger) → Prerequisites: service_list, service_info → Next steps: deployment_trigger → Related: service_restart, variable_setservice_delete[API] Delete a service from a project ⚡️ Best for: ✓ Removing unused services ✓ Cleaning up test services ✓ Project reorganization ⚠️ Not for: × Temporary service stoppage (use service_restart) × Updating service configuration (use service_update) → Prerequisites: service_list, service_info → Alternatives: service_restart → Related: project_deleteservice_restart[API] Restart a service in a specific environment ⚡️ Best for: ✓ Applying configuration changes ✓ Clearing service state ✓ Resolving runtime issues ⚠️ Not for: × Deploying new code (use deployment_trigger) × Updating service config (use service_update) × Long-term service stoppage (use service_delete) → Prerequisites: service_list → Alternatives: deployment_trigger → Related: service_info, deployment_logstcp_proxy_list[API] List all TCP proxies for a service in a specific environment ⚡️ Best for: ✓ Viewing TCP proxy configurations ✓ Managing external access ✓ Auditing service endpoints → Prerequisites: service_list → Next steps: tcp_proxy_create → Related: domain_list, service_infotcp_proxy_create[API] Create a new TCP proxy for a service ⚡️ Best for: ✓ Setting up database access ✓ Configuring external connections ✓ Exposing TCP services ⚠️ Not for: × HTTP/HTTPS endpoints (use domain_create) × Internal service communication → Prerequisites: service_list → Alternatives: domain_create → Next steps: tcp_proxy_list → Related: service_info, service_updatetcp_proxy_delete[API] Delete a TCP proxy ⚡️ Best for: ✓ Removing unused proxies ✓ Security management ✓ Endpoint cleanup ⚠️ Not for: × Temporary proxy disabling × Port updates → Prerequisites: tcp_proxy_list → Related: service_updatelist_service_variables[API] List all environment variables for a service ⚡️ Best for: ✓ Viewing service configuration ✓ Auditing environment variables ✓ Checking connection strings → Prerequisites: service_list → Next steps: variable_set, variable_delete → Related: service_info, variable_bulk_setvariable_set[API] Create or update an environment variable ⚡️ Best for: ✓ Setting configuration values ✓ Updating connection strings ✓ Managing service secrets ⚠️ Not for: × Bulk variable updates (use variable_bulk_set) × Temporary configuration changes → Prerequisites: service_list → Alternatives: variable_bulk_set → Next steps: deployment_trigger, service_restart → Related: variable_list, variable_deletevariable_delete[API] Delete a variable for a service in a specific environment ⚡️ Best for: ✓ Removing unused configuration ✓ Security cleanup ✓ Configuration management ⚠️ Not for: × Temporary variable disabling × Bulk variable removal → Prerequisites: service_list → Next steps: deployment_trigger, service_restart → Related: variable_list, variable_setvariable_bulk_set[WORKFLOW] Create or update multiple environment variables at once ⚡️ Best for: ✓ Migrating configuration between services ✓ Initial service setup ✓ Bulk configuration updates ⚠️ Not for: × Single variable updates (use variable_set) × Temporary configuration changes → Prerequisites: service_list → Alternatives: variable_set → Next steps: deployment_trigger, service_restart → Related: variable_list, service_updatevariable_copy[WORKFLOW] Copy variables from one environment to another ⚡️ Best for: ✓ Environment migration ✓ Configuration sharing ✓ Environment duplication ⚠️ Not for: × Single variable updates (use variable_set) × Temporary configuration changes → Prerequisites: service_list → Alternatives: variable_set → Next steps: deployment_trigger, service_restart → Related: variable_list, service_updateconfigure_api_token[UTILITY] Configure the Railway API token for authentication (only needed if not set in environment variables) ⚡️ Best for: ✓ Initial setup ✓ Token updates ✓ Authentication configuration ⚠️ Not for: × Project configuration × Service settings × Environment variables → Next steps: project_list, service_list → Related: project_createvolume_list[API] List all volumes in a project ⚡️ Best for: ✓ Viewing persistent storage configurations ✓ Managing data volumes ✓ Auditing storage usage → Prerequisites: project_list → Next steps: volume_create → Related: service_info, database_deployvolume_create[API] Create a new persistent volume for a service ⚡️ Best for: ✓ Setting up database storage ✓ Configuring persistent data ✓ Adding file storage ⚠️ Not for: × Temporary storage needs × Static file hosting × Memory caching → Prerequisites: service_list → Next steps: volume_list → Related: service_update, database_deployvolume_updateUpdate a volume's propertiesvolume_delete[API] Delete a volume from a service ⚡️ Best for: ✓ Removing unused storage ✓ Storage cleanup ✓ Resource management ⚠️ Not for: × Temporary data removal × Data backup (use volume_backup first) → Prerequisites: volume_list → Related: service_update
MCP server for Indian Railways: search trains, stations, schedules and live status.
Last checked Aug 13, 2026
[ features ]
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
Deployment & Onboarding
Features related to ease, speed, and simplicity of initial setup and deployment.
Supports deployment with a single click or minimal steps.
Estimated time to get a basic instance running.
Deployment without needing SSH access or manual server configuration.
Automatic deployments triggered by Git pushes.
Can be run fully self-hosted on user hardware/servers.
Integrations & Compatibility
Supported technologies, stacks, channels, and ecosystems.
Chat apps for interacting with agents/apps.
Application stacks or languages supported.
Cloud platforms for hosting.
Scaling & Operations
Features for managing, scaling, monitoring, and maintaining deployments.
Automatic scaling based on load.
Automated, managed backup services.
Dashboard for logs, performance, health metrics.
Supported managed DB services.
Multi-user/team collaboration features.
Pricing & Plans
Pricing structure, tiers, and value propositions.
Offers a usable free plan or tier.
One-time payment for perpetual access.
Use existing servers/infra without lock-in.
No limits on number of sites/apps/projects.
Availability of a free plan or trial with usable outputs.
Entry-level price for basic generation package.
Whether usage is limited by credits rather than unlimited in plans.
Discounted or bulk options for teams/enterprises.
Offers a permanent free plan with usable limits
Maximum invoices allowed per month on free plan
Lowest annual subscription price in EUR
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