{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-railway-mcp-server","slug":"railway-mcp-server","name":"@railway/mcp-server","type":"mcp","url":"https://github.com/railwayapp/railway-mcp-server#readme","page_url":"https://unfragile.ai/railway-mcp-server","categories":["mcp-servers"],"tags":["railway","mcp","modelcontextprotocol","mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-railway-mcp-server__cap_0","uri":"capability://tool.use.integration.railway.project.and.deployment.introspection.via.mcp.protocol","name":"railway project and deployment introspection via mcp protocol","description":"Exposes Railway infrastructure state (projects, services, deployments, environments) as MCP tools that Claude and other LLM clients can invoke. Implements the Model Context Protocol server specification to translate Railway API calls into standardized tool schemas, enabling LLMs to query and reason about deployment topology without direct API knowledge.","intents":["I want Claude to understand my Railway project structure and current deployment status","I need an LLM to help me troubleshoot which service is failing in my Railway environment","I want to ask Claude questions about my infrastructure and have it fetch live data from Railway"],"best_for":["developers using Claude or other MCP-compatible LLMs who manage infrastructure on Railway","teams building AI agents that need real-time visibility into Railway deployments","solo developers wanting to reduce context-switching between Railway dashboard and LLM chat"],"limitations":["Requires active Railway account with valid API token — no offline mode","MCP protocol support limited to clients that implement the specification (Claude, some IDEs)","Real-time data freshness depends on Railway API latency; no built-in caching layer","Tool invocation latency adds ~500ms-2s per query due to MCP serialization and API round-trip"],"requires":["Node.js 16+","Railway API token (from railway.app account settings)","MCP-compatible client (Claude Desktop, Cline, or custom MCP host)","@railway/mcp-server npm package installed"],"input_types":["MCP tool invocation with JSON parameters","Natural language queries from LLM client"],"output_types":["structured JSON responses describing projects, services, deployments","deployment logs and status summaries","environment variable and configuration metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-railway-mcp-server__cap_1","uri":"capability://tool.use.integration.railway.service.deployment.and.configuration.management.via.llm","name":"railway service deployment and configuration management via llm","description":"Provides MCP tools that allow LLMs to programmatically deploy services, update environment variables, manage secrets, and configure deployment settings on Railway. Translates high-level LLM requests (e.g., 'deploy my app with these env vars') into Railway API calls that modify infrastructure state.","intents":["I want Claude to help me deploy a new service to Railway with the right configuration","I need to update environment variables across multiple services and want an LLM to orchestrate it","I want to ask Claude to configure a database connection and deploy it to my Railway project"],"best_for":["developers building AI-assisted deployment workflows","teams automating infrastructure changes through natural language commands","solo developers who want LLM-guided deployment without manual dashboard navigation"],"limitations":["Requires write-level Railway API permissions — cannot be safely exposed to untrusted LLM clients","No built-in rollback mechanism — failed deployments must be manually reverted or handled by caller","Deployment propagation is asynchronous; MCP tool returns immediately but actual deployment takes seconds to minutes","No transaction support — partial failures in multi-step deployments leave infrastructure in inconsistent state"],"requires":["Railway API token with write permissions (not read-only)","MCP-compatible LLM client with tool-calling support","Active Railway project with at least one service or database"],"input_types":["MCP tool parameters specifying service name, environment variables, deployment config","Natural language instructions from LLM"],"output_types":["deployment confirmation with service ID and status","updated configuration metadata","deployment logs and error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-railway-mcp-server__cap_2","uri":"capability://tool.use.integration.railway.environment.and.secret.variable.inspection.and.management","name":"railway environment and secret variable inspection and management","description":"Exposes Railway's environment variable and secret management system as queryable MCP tools, allowing LLMs to list, read, and update environment variables across projects and services. Implements secure handling of sensitive values by respecting Railway's secret masking and access control policies.","intents":["I want Claude to show me what environment variables are set in my production environment","I need to update a database connection string across multiple services and want an LLM to do it safely","I want to ask Claude what secrets are missing from my deployment configuration"],"best_for":["developers managing multi-service environments with complex variable dependencies","teams automating configuration drift detection and remediation","solo developers wanting LLM-assisted environment variable auditing"],"limitations":["Secret values are masked in responses for security — LLM cannot see actual secret content, only metadata","No built-in validation of environment variable format or compatibility — invalid values are accepted by API","Changes propagate asynchronously; services may not pick up new variables immediately","No version history or rollback — previous variable values are not retained"],"requires":["Railway API token with environment variable read/write permissions","MCP-compatible LLM client","At least one Railway service with environment variables configured"],"input_types":["MCP tool parameters specifying project ID, service ID, variable names","Natural language queries from LLM"],"output_types":["list of environment variables with names and (masked) values","variable metadata (creation date, last modified)","confirmation of variable updates"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-railway-mcp-server__cap_3","uri":"capability://tool.use.integration.railway.deployment.logs.and.metrics.streaming.via.mcp","name":"railway deployment logs and metrics streaming via mcp","description":"Provides MCP tools that allow LLMs to fetch and stream deployment logs, service logs, and basic metrics from Railway services. Implements log retrieval through Railway's API with support for filtering by service, environment, and time range, enabling LLMs to diagnose issues and provide troubleshooting guidance.","intents":["I want Claude to read my service logs and tell me why my deployment is failing","I need to understand what happened during a recent deployment and want an LLM to analyze the logs","I want Claude to help me debug a runtime error by examining service logs"],"best_for":["developers using LLMs for automated log analysis and troubleshooting","teams building AI-assisted incident response workflows","solo developers wanting LLM-powered debugging without manual log inspection"],"limitations":["Log retention depends on Railway's plan — free tier may have limited history","Streaming is not true real-time; logs are fetched in batches with ~5-10s latency","Large log volumes (>10MB) may timeout or be truncated by MCP protocol limits","No built-in log parsing or structured extraction — LLM must interpret raw log text","Metrics are basic (CPU, memory) — no custom metrics or application-level observability"],"requires":["Railway API token with log read permissions","MCP-compatible LLM client","Active Railway service with logs available"],"input_types":["MCP tool parameters specifying service ID, environment, time range, log level filters","Natural language queries from LLM"],"output_types":["raw log lines in text format","structured log metadata (timestamp, service, log level)","basic metrics summaries (CPU usage, memory, error rate)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-railway-mcp-server__cap_4","uri":"capability://tool.use.integration.railway.project.and.service.discovery.and.topology.mapping","name":"railway project and service discovery and topology mapping","description":"Exposes Railway's project hierarchy, service relationships, and deployment topology as queryable MCP tools. Allows LLMs to discover all projects, services, databases, and their interdependencies, enabling context-aware reasoning about infrastructure changes and impact analysis.","intents":["I want Claude to show me the full architecture of my Railway project and how services connect","I need to understand which services depend on a database before I make changes to it","I want an LLM to help me identify unused services or orphaned configurations in my project"],"best_for":["developers managing complex multi-service architectures on Railway","teams performing infrastructure audits and dependency analysis","solo developers wanting LLM-assisted architecture visualization"],"limitations":["Topology is static snapshot — does not reflect real-time traffic or runtime dependencies","No visualization output — LLM must interpret and describe topology in text","Relationship inference is limited to Railway's explicit configuration; implicit dependencies (via environment variables) are not detected","Large projects (50+ services) may exceed MCP response size limits"],"requires":["Railway API token with read permissions","MCP-compatible LLM client","At least one Railway project with services"],"input_types":["MCP tool parameters specifying project ID","Natural language queries from LLM"],"output_types":["hierarchical list of projects, services, and databases","service metadata (name, type, status, environment)","relationship metadata (which services connect to which databases)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-railway-mcp-server__cap_5","uri":"capability://tool.use.integration.mcp.protocol.server.implementation.for.railway.api","name":"mcp protocol server implementation for railway api","description":"Implements the Model Context Protocol (MCP) server specification, translating Railway API endpoints into standardized MCP tool schemas that LLM clients can discover and invoke. Handles MCP message serialization, error handling, and protocol compliance to ensure reliable communication between LLM clients and Railway infrastructure.","intents":["I want to use Claude with Railway without writing custom integration code","I need a standardized way for my LLM client to access Railway infrastructure","I want to ensure my LLM-Railway integration follows the MCP standard for compatibility"],"best_for":["developers building LLM agents that need Railway integration","teams standardizing on MCP for infrastructure automation","organizations wanting vendor-neutral LLM-infrastructure integration"],"limitations":["MCP protocol overhead adds ~100-300ms latency per tool invocation compared to direct API calls","Tool discovery is synchronous — large tool sets (50+ tools) may cause slow client startup","Error handling is limited to MCP error format — Railway-specific error codes may be lost","No built-in rate limiting — client must implement backoff to avoid Railway API throttling"],"requires":["Node.js 16+","MCP-compatible client (Claude Desktop, Cline, or custom MCP host)","Understanding of MCP protocol basics"],"input_types":["MCP protocol messages (JSON-RPC format)","Tool invocation requests from LLM client"],"output_types":["MCP protocol responses","tool result data in JSON format","error messages in MCP error format"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":36,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","Railway API token (from railway.app account settings)","MCP-compatible client (Claude Desktop, Cline, or custom MCP host)","@railway/mcp-server npm package installed","Railway API token with write permissions (not read-only)","MCP-compatible LLM client with tool-calling support","Active Railway project with at least one service or database","Railway API token with environment variable read/write permissions","MCP-compatible LLM client","At least one Railway service with environment variables configured"],"failure_modes":["Requires active Railway account with valid API token — no offline mode","MCP protocol support limited to clients that implement the specification (Claude, some IDEs)","Real-time data freshness depends on Railway API latency; no built-in caching layer","Tool invocation latency adds ~500ms-2s per query due to MCP serialization and API round-trip","Requires write-level Railway API permissions — cannot be safely exposed to untrusted LLM clients","No built-in rollback mechanism — failed deployments must be manually reverted or handled by caller","Deployment propagation is asynchronous; MCP tool returns immediately but actual deployment takes seconds to minutes","No transaction support — partial failures in multi-step deployments leave infrastructure in inconsistent state","Secret values are masked in responses for security — LLM cannot see actual secret content, only metadata","No built-in validation of environment variable format or compatibility — invalid values are accepted by API","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4031222409007025,"quality":0.22,"ecosystem":0.52,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":5183,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=railway-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=railway-mcp-server"}},"signature":"BNmC+yUDDDcLlGTxll6jXucX2yvo/eZPbGBRHjAutpT5d4ITQ7LfLu3d1FcilvHkN+QBiL4XFTXW4YqIOZW8Bw==","signedAt":"2026-06-22T16:55:15.734Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/railway-mcp-server","artifact":"https://unfragile.ai/railway-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=railway-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}