{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-motiffcommotiff-mcp-server","slug":"npm-motiffcommotiff-mcp-server","name":"@motiffcom/motiff-mcp-server","type":"mcp","url":"https://www.npmjs.com/package/@motiffcom/motiff-mcp-server","page_url":"https://unfragile.ai/npm-motiffcommotiff-mcp-server","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-motiffcommotiff-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.protocol.server.instantiation.and.lifecycle.management","name":"mcp protocol server instantiation and lifecycle management","description":"Provides a Model Context Protocol (MCP) server implementation that handles protocol initialization, message routing, and resource lifecycle. The server manages bidirectional communication between MCP clients (like Claude Desktop or other LLM applications) and the motiff service, implementing the MCP specification for request/response handling, error propagation, and connection state management.","intents":["I want to expose motiff functionality to Claude Desktop or other MCP-compatible clients","I need to implement MCP server protocol compliance for motiff integration","I want to handle MCP client connections with proper initialization and teardown"],"best_for":["developers integrating motiff with Claude Desktop or other MCP-aware LLM applications","teams building multi-tool AI agent systems that require standardized tool exposure","organizations standardizing on MCP for LLM tool integration"],"limitations":["MCP protocol version compatibility depends on client implementation — older clients may not support newer server features","No built-in connection pooling or load balancing across multiple server instances","Synchronous request handling may create bottlenecks under high concurrent client load"],"requires":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package installed","MCP-compatible client application (Claude Desktop, custom MCP client, etc.)","Valid motiff API credentials or service endpoint"],"input_types":["MCP protocol messages (JSON-RPC format)","tool invocation requests with parameters"],"output_types":["MCP protocol responses (JSON-RPC format)","tool execution results","error responses with diagnostic information"],"categories":["tool-use-integration","mcp-server"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-motiffcommotiff-mcp-server__cap_1","uri":"capability://tool.use.integration.tool.schema.definition.and.capability.exposure.via.mcp","name":"tool schema definition and capability exposure via mcp","description":"Exposes motiff's capabilities as MCP tools with structured JSON schemas that describe input parameters, output formats, and tool metadata. The server implements the MCP tools specification, allowing clients to discover available motiff operations, validate inputs against schemas, and handle typed responses. This enables LLM applications to understand and invoke motiff functionality with proper type safety and parameter validation.","intents":["I want Claude or other LLM clients to discover what motiff operations are available","I need to define strict input schemas so LLM clients can validate parameters before calling motiff","I want to expose motiff's return types so clients can parse and use results correctly"],"best_for":["developers building AI agents that need to call motiff with type-safe parameters","teams using Claude Desktop who want to extend Claude's capabilities with motiff operations","organizations standardizing on schema-driven tool exposure for LLM integration"],"limitations":["Schema complexity is limited by JSON Schema specification — complex nested types may require flattening or custom serialization","No runtime schema validation on the server side — relies on client-side validation before tool invocation","Schema changes require server restart to propagate to connected clients"],"requires":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package","MCP-compatible client that supports tool discovery and invocation","motiff API or service endpoint with documented operation signatures"],"input_types":["tool schema definitions (JSON Schema format)","motiff operation metadata"],"output_types":["MCP tools list response with schema definitions","tool execution results matching declared output schemas"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-motiffcommotiff-mcp-server__cap_2","uri":"capability://tool.use.integration.motiff.operation.invocation.and.result.streaming","name":"motiff operation invocation and result streaming","description":"Handles execution of motiff operations triggered by MCP clients, managing parameter passing, async operation handling, and result delivery back to clients. The server translates MCP tool invocation requests into motiff API calls, manages execution state, and streams or buffers results depending on operation type. Implements error handling and result serialization to ensure motiff responses are properly formatted for MCP protocol compliance.","intents":["I want to call motiff operations from Claude Desktop and get results back","I need to handle long-running motiff operations without blocking the MCP client","I want proper error handling when motiff operations fail or timeout"],"best_for":["developers using Claude Desktop to interact with motiff services","teams building agentic workflows that require motiff as a tool","organizations needing reliable tool invocation with error recovery"],"limitations":["Result streaming support depends on MCP client implementation — some clients may only support buffered responses","No built-in retry logic or circuit breaker for failing motiff operations","Large result sets may exceed MCP message size limits, requiring pagination or chunking","Timeout handling depends on motiff API timeout configuration — no configurable server-side timeouts"],"requires":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package","Active motiff API endpoint or service connection","Valid authentication credentials for motiff service","MCP client capable of handling async tool execution"],"input_types":["MCP tool invocation requests with parameters","motiff operation identifiers and arguments"],"output_types":["motiff operation results (format depends on specific operation)","error responses with diagnostic information","streaming results (if supported by client)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-motiffcommotiff-mcp-server__cap_3","uri":"capability://memory.knowledge.mcp.resource.management.and.context.provisioning","name":"mcp resource management and context provisioning","description":"Manages MCP resources that provide context or data to LLM clients, implementing the MCP resources specification for exposing motiff-related information, templates, or reference data. The server handles resource discovery, content retrieval, and updates, allowing clients to access motiff documentation, examples, or dynamic data without direct API calls. Resources are exposed as URIs that clients can subscribe to or request on-demand.","intents":["I want Claude to have access to motiff documentation or examples when formulating requests","I need to expose motiff reference data or templates that help LLM clients construct better tool calls","I want to provide dynamic context about motiff capabilities that updates without server restart"],"best_for":["teams using Claude Desktop who want to provide motiff context and examples","developers building knowledge-augmented AI agents with motiff integration","organizations maintaining motiff documentation that should be accessible to LLM clients"],"limitations":["Resource updates are push-based only — clients cannot trigger server-side resource refresh","No built-in caching or versioning for resources — large resources may impact performance","Resource content is limited by MCP message size constraints","No authentication or access control per resource — all exposed resources are available to all clients"],"requires":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package","MCP client that supports resource subscription or retrieval","motiff documentation or reference data to expose as resources"],"input_types":["resource URIs and metadata","motiff documentation or reference content"],"output_types":["MCP resources list with URIs and descriptions","resource content (text, markdown, or structured data)","resource update notifications"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-motiffcommotiff-mcp-server__cap_4","uri":"capability://safety.moderation.client.connection.authentication.and.authorization","name":"client connection authentication and authorization","description":"Implements authentication and authorization for MCP clients connecting to the motiff server, validating client credentials and enforcing access control policies. The server may support multiple authentication methods (API keys, OAuth, mutual TLS) and manages session state for connected clients. Authorization logic determines which tools and resources each client can access based on credentials or client identity.","intents":["I want to ensure only authorized clients can invoke motiff operations through the MCP server","I need to enforce different permission levels for different MCP clients","I want to audit which clients are accessing motiff through the MCP server"],"best_for":["organizations deploying motiff MCP servers in multi-tenant or shared environments","teams requiring audit trails for tool access and invocation","developers building secure AI agent systems with motiff integration"],"limitations":["Authentication mechanism depends on MCP client support — not all clients may support all auth methods","No built-in audit logging — requires external logging infrastructure for compliance","Authorization is coarse-grained at tool level — no per-operation parameter-level access control","Session management is stateless by default — no built-in session revocation or token refresh"],"requires":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package","Authentication credentials or keys for MCP clients","MCP client that supports authentication (e.g., Claude Desktop with API key support)"],"input_types":["client credentials (API keys, tokens, certificates)","authorization policies or access control lists"],"output_types":["authentication success/failure responses","authorization decisions (allow/deny)","audit logs or access records"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-motiffcommotiff-mcp-server__cap_5","uri":"capability://tool.use.integration.sampling.and.llm.model.configuration.via.mcp","name":"sampling and llm model configuration via mcp","description":"Exposes Motiff's sampling parameters and LLM model configurations through MCP's sampling/createMessage endpoint, allowing clients to invoke LLM operations with Motiff-managed settings (temperature, max_tokens, model selection, etc.). This enables centralized control of LLM behavior across multiple MCP clients while maintaining Motiff as the source of truth for model preferences.","intents":["I want my MCP client to use Motiff's preferred LLM settings without hardcoding them","I need to change LLM parameters globally across all agents using Motiff","I want Motiff to manage model selection and sampling configuration for consistency"],"best_for":["Organizations with standardized LLM configurations managed through Motiff","Multi-agent systems requiring consistent model behavior across clients","Teams wanting to centralize LLM parameter management and experimentation"],"limitations":["Sampling configuration must be pre-defined in Motiff — runtime parameter tuning requires server updates","MCP sampling/createMessage endpoint may not support all LLM providers that Motiff supports","Latency overhead from delegating sampling to Motiff server instead of direct client-to-LLM calls"],"requires":["Motiff with LLM model and sampling configuration","MCP client that supports sampling/createMessage endpoint","LLM API credentials configured in Motiff"],"input_types":["MCP sampling/createMessage request with messages and optional parameter overrides"],"output_types":["LLM completion response with model output and usage metadata"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ runtime","@motiffcom/motiff-mcp-server npm package installed","MCP-compatible client application (Claude Desktop, custom MCP client, etc.)","Valid motiff API credentials or service endpoint","@motiffcom/motiff-mcp-server npm package","MCP-compatible client that supports tool discovery and invocation","motiff API or service endpoint with documented operation signatures","Active motiff API endpoint or service connection","Valid authentication credentials for motiff service","MCP client capable of handling async tool execution"],"failure_modes":["MCP protocol version compatibility depends on client implementation — older clients may not support newer server features","No built-in connection pooling or load balancing across multiple server instances","Synchronous request handling may create bottlenecks under high concurrent client load","Schema complexity is limited by JSON Schema specification — complex nested types may require flattening or custom serialization","No runtime schema validation on the server side — relies on client-side validation before tool invocation","Schema changes require server restart to propagate to connected clients","Result streaming support depends on MCP client implementation — some clients may only support buffered responses","No built-in retry logic or circuit breaker for failing motiff operations","Large result sets may exceed MCP message size limits, requiring pagination or chunking","Timeout handling depends on motiff API timeout configuration — no configurable server-side timeouts","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:35.340Z","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-motiffcommotiff-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-motiffcommotiff-mcp-server"}},"signature":"/mEygJDOoYPHUXLwYiSteP7W4ozFmPP7ETG90OH9kdAwtLTxKrg1Cj9mU6pq16PAGzH1pzk8hSt6fhF3K5TEAw==","signedAt":"2026-06-16T01:39:57.405Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-motiffcommotiff-mcp-server","artifact":"https://unfragile.ai/npm-motiffcommotiff-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-motiffcommotiff-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"}}