{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-decocms","slug":"npm-decocms","name":"decocms","type":"mcp","url":"https://www.npmjs.com/package/decocms","page_url":"https://unfragile.ai/npm-decocms","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","ai","gateway","self-hosted","mesh","tools"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-decocms__cap_0","uri":"capability://tool.use.integration.mcp.server.gateway.with.multi.provider.routing","name":"mcp server gateway with multi-provider routing","description":"Acts as a centralized MCP (Model Context Protocol) gateway that routes tool calls and resource requests to multiple backend MCP servers, abstracting provider-specific implementations behind a unified interface. 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Aggregates metadata from heterogeneous MCP servers and presents a unified capability manifest that clients can query to understand what operations are available without hardcoding tool knowledge.","intents":["I want my AI agent to dynamically discover what tools are available at runtime","I need to generate tool schemas for LLM function calling from live MCP servers","I want to build a UI that shows users what capabilities are available","I need to validate tool calls against actual server capabilities before execution"],"best_for":["AI agent developers building dynamic tool-calling systems","teams building no-code/low-code AI platforms","developers creating AI chatbot interfaces with dynamic capability display"],"limitations":["Introspection adds startup latency as gateway queries all servers for capabilities","Tool schemas may become stale if servers are updated without gateway restart","No built-in caching of capability metadata — each discovery query may hit all servers","Complex tool schemas with circular references may not serialize correctly"],"requires":["MCP servers that implement the tools/list and resources/list endpoints","Network connectivity to all backend MCP servers during discovery"],"input_types":["MCP introspection protocol messages"],"output_types":["JSON tool schemas","Capability manifests","Resource type definitions"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_3","uri":"capability://tool.use.integration.mcp.protocol.translation.and.compatibility.bridging","name":"mcp protocol translation and compatibility bridging","description":"Translates between different MCP protocol versions or transport mechanisms (stdio, SSE, WebSocket) to enable interoperability between clients and servers that use different communication patterns. Implements protocol adapters that normalize incoming requests to a canonical internal format and transform responses back to the client's expected protocol version, abstracting transport-layer differences.","intents":["I want to connect MCP clients using WebSocket to MCP servers that only support stdio","I need to support both old and new MCP protocol versions in my gateway","I want to add HTTP/REST endpoints for tools that are only available via MCP","I need to bridge MCP servers running in different processes or containers"],"best_for":["teams integrating legacy MCP implementations with modern clients","developers building cross-protocol AI tool platforms","enterprises with heterogeneous tool ecosystems using different protocols"],"limitations":["Protocol translation adds latency for each request/response cycle","Some protocol-specific features may not translate cleanly (e.g., streaming in stdio vs WebSocket)","Debugging protocol mismatches requires understanding both source and target protocols","Version compatibility matrix grows exponentially with each new protocol version supported"],"requires":["Knowledge of MCP protocol specifications for versions being bridged","Transport libraries for each protocol (e.g., ws for WebSocket, stdio for child processes)"],"input_types":["MCP messages in any supported protocol format"],"output_types":["MCP messages in target protocol format"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_4","uri":"capability://safety.moderation.authentication.and.access.control.for.tool.invocation","name":"authentication and access control for tool invocation","description":"Enforces authentication and authorization policies at the gateway level, controlling which clients can invoke which tools or access which resources. Implements middleware patterns that intercept tool calls and validate credentials (API keys, JWT tokens, OAuth) against access control lists before routing to backend MCP servers, preventing unauthorized tool usage.","intents":["I want to restrict certain tools to specific users or API keys","I need to audit which client invoked which tool and when","I want to implement role-based access control for my tool ecosystem","I need to revoke tool access for a user without redeploying servers"],"best_for":["enterprises managing shared tool ecosystems across teams","SaaS platforms offering AI capabilities to multiple customers","teams with compliance requirements for tool usage auditing"],"limitations":["Authentication adds latency to each tool invocation (token validation, ACL lookup)","No built-in support for fine-grained permissions (e.g., tool-specific parameters) — only tool-level access control","Token revocation requires gateway restart or external cache invalidation","Complex ACL rules may require custom policy evaluation logic"],"requires":["Authentication provider (API key store, JWT issuer, OAuth provider)","Access control policy definition (ACL file, database, or policy engine)"],"input_types":["Authentication credentials (API keys, JWT tokens, OAuth tokens)","Tool invocation requests"],"output_types":["Authorization decision (allow/deny)","Audit logs"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_5","uri":"capability://automation.workflow.tool.call.request.response.logging.and.audit.trails","name":"tool call request/response logging and audit trails","description":"Captures and persists detailed logs of all tool invocations passing through the gateway, including request parameters, response results, execution time, and client identity. Implements structured logging that records tool calls in a queryable format (JSON, database) enabling post-hoc analysis, debugging, and compliance auditing of tool usage patterns.","intents":["I want to debug why a tool call failed by reviewing the exact request and response","I need to audit which tools were called by which users for compliance purposes","I want to analyze tool usage patterns to understand which capabilities are most valuable","I need to detect and alert on suspicious tool usage patterns"],"best_for":["teams operating in regulated industries requiring audit trails","developers debugging complex multi-tool agent workflows","product teams analyzing feature usage and adoption"],"limitations":["Logging adds I/O overhead and storage costs for high-volume tool usage","Sensitive data in tool parameters may be logged unintentionally — requires careful filtering","Log retention policies must be managed separately (no built-in log rotation/archival)","Querying large log volumes requires external analytics tools (no built-in log search)"],"requires":["Storage backend for logs (file system, database, or log aggregation service)","Log retention policy and compliance requirements"],"input_types":["Tool invocation requests and responses"],"output_types":["Structured logs (JSON, CSV, or database records)","Audit reports"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_6","uri":"capability://automation.workflow.rate.limiting.and.quota.enforcement.for.tool.usage","name":"rate limiting and quota enforcement for tool usage","description":"Implements rate limiting and quota policies at the gateway level to prevent resource exhaustion and enforce fair usage across clients. Uses token bucket or sliding window algorithms to track tool invocations per client/tool and reject requests that exceed configured limits, protecting backend MCP servers from overload.","intents":["I want to prevent a single client from overwhelming my tool infrastructure","I need to enforce per-user quotas on expensive tool operations","I want to implement tiered pricing based on tool usage limits","I need to protect my MCP servers from denial-of-service attacks"],"best_for":["SaaS platforms offering AI tools to multiple customers","teams managing shared tool infrastructure with limited capacity","developers building rate-limited APIs for tool access"],"limitations":["Rate limiting adds latency to each request (quota lookup and update)","Distributed rate limiting across multiple gateway instances requires shared state (Redis, database)","Quota reset timing and grace periods require careful configuration","No built-in support for burst allowances or priority queuing"],"requires":["Rate limiting algorithm implementation (token bucket, sliding window, etc.)","Quota configuration per client/tool","Shared state store for distributed rate limiting (optional, for multi-instance deployments)"],"input_types":["Tool invocation requests","Client identity and quota configuration"],"output_types":["Rate limit decision (allow/reject)","Remaining quota information"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_7","uri":"capability://automation.workflow.error.handling.and.graceful.degradation.for.tool.failures","name":"error handling and graceful degradation for tool failures","description":"Implements error handling strategies that gracefully degrade when MCP servers are unavailable or return errors, including fallback mechanisms, circuit breakers, and error transformation. Catches server-side errors and transforms them into client-friendly error responses, preventing cascading failures and enabling clients to handle tool unavailability gracefully.","intents":["I want my AI agent to continue functioning even if one MCP server goes down","I need to provide meaningful error messages when a tool fails","I want to implement fallback tools when the primary tool is unavailable","I need to detect and recover from transient server failures automatically"],"best_for":["teams building resilient AI agent systems","developers managing heterogeneous tool ecosystems with varying reliability","enterprises requiring high availability for tool infrastructure"],"limitations":["Circuit breaker patterns add complexity to error handling logic","Fallback mechanisms require pre-configured alternative tools","Error recovery may mask underlying server issues, complicating debugging","Graceful degradation may provide suboptimal results compared to full functionality"],"requires":["Error handling strategy definition (retry, fallback, circuit breaker)","Fallback tool configuration (optional)","Health check endpoints for MCP servers"],"input_types":["Tool invocation requests","Server error responses"],"output_types":["Transformed error messages","Fallback tool results (if applicable)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-decocms__cap_8","uri":"capability://automation.workflow.configuration.management.and.dynamic.server.registration","name":"configuration management and dynamic server registration","description":"Provides mechanisms for registering, configuring, and updating MCP servers without restarting the gateway, including configuration file parsing, environment variable substitution, and dynamic server discovery. Implements a configuration layer that abstracts server connection details and enables operators to add/remove/update servers through configuration changes rather than code modifications.","intents":["I want to add a new MCP server to my gateway without restarting it","I need to manage server configurations across development, staging, and production environments","I want to use environment variables to configure sensitive connection details","I need to dynamically discover MCP servers from a service registry"],"best_for":["operators managing production MCP deployments","teams with multiple environments requiring different server configurations","developers building extensible AI platforms with pluggable tools"],"limitations":["Dynamic server registration without restart may leave stale connections in memory","Configuration validation errors may not be caught until runtime","Complex configuration hierarchies (defaults, overrides, inheritance) add cognitive load","No built-in support for configuration versioning or rollback"],"requires":["Configuration file format (YAML, JSON, TOML, or environment variables)","Configuration schema validation (optional, for early error detection)"],"input_types":["Configuration files","Environment variables","API requests for dynamic registration"],"output_types":["Parsed server configurations","Registration confirmation"],"categories":["automation-workflow","infrastructure-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","MCP-compatible servers to route to (Claude SDK, Anthropic MCP servers, or custom implementations)","Network connectivity between gateway and backend MCP servers","Linux/macOS/Windows host with sufficient resources","MCP server implementations compatible with stdio or SSE transport","MCP servers that implement the tools/list and resources/list endpoints","Network connectivity to all backend MCP servers during discovery","Knowledge of MCP protocol specifications for versions being bridged","Transport libraries for each protocol (e.g., ws for WebSocket, stdio for child processes)","Authentication provider (API key store, JWT issuer, OAuth provider)"],"failure_modes":["Gateway adds network latency for each tool invocation (request/response round-trip through gateway)","Single point of failure if gateway goes down — all downstream MCP connections are severed","Routing configuration must be manually maintained as new servers are added","No built-in load balancing across multiple instances of the same MCP server","Scaling beyond single host requires external orchestration (Kubernetes, Docker Compose)","No built-in health checking or automatic restart policies — requires external process supervisor","Memory and CPU constraints limited to single machine resources","Debugging multi-process failures requires log aggregation from multiple server instances","Introspection adds startup latency as gateway queries all servers for capabilities","Tool schemas may become stale if servers are updated without gateway restart","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.28,"ecosystem":0.5000000000000001,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:52.557Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-decocms","compare_url":"https://unfragile.ai/compare?artifact=npm-decocms"}},"signature":"pcCk7y4JJfV8DgSyuBc51DOFI78C5uuDN68cmuIE2ges2zPfixHwRlkQZXOyfEABazsG69Di6EGbGJj+dvWQCw==","signedAt":"2026-06-21T22:17:55.887Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-decocms","artifact":"https://unfragile.ai/npm-decocms","verify":"https://unfragile.ai/api/v1/verify?slug=npm-decocms","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"}}