{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_nicktrujillo-copado-mcp-server","slug":"nicktrujillo-copado-mcp-server","name":"Copado MCP Server","type":"mcp","url":"https://smithery.ai/servers/nicktrujillo/copado-mcp-server","page_url":"https://unfragile.ai/nicktrujillo-copado-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:nicktrujillo/copado-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_nicktrujillo-copado-mcp-server__cap_0","uri":"capability://tool.use.integration.dynamic.tool.integration.via.json.rpc","name":"dynamic tool integration via json-rpc","description":"This capability allows for the dynamic integration of external tools and resources through a standardized JSON-RPC interface. By leveraging a modular architecture, it enables seamless communication between LLMs and various APIs, allowing developers to define and customize tools that can be invoked in real-time. The use of JSON-RPC facilitates a lightweight and efficient protocol for remote procedure calls, enhancing the flexibility of LLM applications.","intents":["How can I integrate external APIs with my LLM application?","What is the best way to expose custom tools for my AI model?","Can I dynamically call functions from different services during runtime?"],"best_for":["developers building LLM applications that require external integrations"],"limitations":["Requires a stable network connection for API calls; latency may vary based on external service response times"],"requires":["Node.js 14+","JSON-RPC compliant API endpoints"],"input_types":["JSON requests","text"],"output_types":["JSON responses","structured data"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_nicktrujillo-copado-mcp-server__cap_1","uri":"capability://text.generation.language.customizable.prompt.management","name":"customizable prompt management","description":"This capability enables developers to create and manage customizable prompts that can be dynamically adjusted based on the context of the interaction. By implementing a prompt templating system, it allows for the injection of variables and context-specific data into prompts, enhancing the relevance and effectiveness of the LLM's responses. This system is designed to work seamlessly with the JSON-RPC interface, ensuring that prompts can be updated in real-time during interactions.","intents":["How can I customize prompts for different user scenarios?","What is the best way to manage context-specific prompts in my LLM?","Can I dynamically alter prompts based on user input?"],"best_for":["AI developers looking to enhance user interaction with dynamic prompts"],"limitations":["Complex prompt structures may lead to increased processing time; requires careful management of context variables"],"requires":["Node.js 14+","JSON-RPC compliant API"],"input_types":["text","variables"],"output_types":["text"],"categories":["text-generation-language","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_nicktrujillo-copado-mcp-server__cap_2","uri":"capability://memory.knowledge.context.aware.action.execution","name":"context-aware action execution","description":"This capability facilitates context-aware execution of actions based on the current state of the interaction and user input. By maintaining a session-based context management system, it allows the MCP server to track user interactions and adjust the execution of actions accordingly. This ensures that the LLM can provide more relevant responses and actions based on the historical context of the conversation.","intents":["How can I maintain context between user interactions?","What is the best way to execute actions based on previous inputs?","Can I track user sessions for personalized responses?"],"best_for":["developers building personalized LLM applications that require context tracking"],"limitations":["Session data may consume additional memory; requires careful management to avoid context overflow"],"requires":["Node.js 14+","state management library"],"input_types":["text","session data"],"output_types":["text","action results"],"categories":["memory-knowledge","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_nicktrujillo-copado-mcp-server__cap_3","uri":"capability://data.processing.analysis.real.time.data.interaction","name":"real-time data interaction","description":"This capability allows for real-time interaction with data sources, enabling LLMs to query and manipulate data dynamically during a session. By integrating with various data storage solutions and using efficient querying mechanisms, it supports operations such as fetching, updating, and deleting data in response to user commands. This is facilitated through the JSON-RPC interface, ensuring smooth communication between the LLM and data sources.","intents":["How can I enable my LLM to interact with databases in real-time?","What is the best way to fetch and manipulate data during a conversation?","Can I allow users to update information through the LLM?"],"best_for":["developers creating LLM applications that require real-time data manipulation"],"limitations":["Requires a robust data layer; performance may vary based on data source speed and complexity"],"requires":["Node.js 14+","database connection libraries"],"input_types":["queries","commands"],"output_types":["data responses","confirmation messages"],"categories":["data-processing-analysis","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_nicktrujillo-copado-mcp-server__cap_4","uri":"capability://tool.use.integration.modular.tool.exposure","name":"modular tool exposure","description":"This capability enables the exposure of tools and resources in a modular fashion, allowing developers to define and register tools that can be accessed by the LLM during runtime. By using a plugin-like architecture, it supports the addition of new tools without requiring changes to the core system, promoting extensibility and adaptability. This modular approach allows for a diverse range of tools to be integrated based on user needs.","intents":["How can I add new tools to my LLM application without downtime?","What is the best way to expose custom functionalities to users?","Can I create a plugin system for my LLM?"],"best_for":["developers looking to build extensible LLM applications with custom tools"],"limitations":["Plugin management may introduce complexity; requires careful version control of tools"],"requires":["Node.js 14+","plugin management system"],"input_types":["tool definitions","commands"],"output_types":["tool execution results","status messages"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","JSON-RPC compliant API endpoints","JSON-RPC compliant API","state management library","database connection libraries","plugin management system"],"failure_modes":["Requires a stable network connection for API calls; latency may vary based on external service response times","Complex prompt structures may lead to increased processing time; requires careful management of context variables","Session data may consume additional memory; requires careful management to avoid context overflow","Requires a robust data layer; performance may vary based on data source speed and complexity","Plugin management may introduce complexity; requires careful version control of tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:27.443Z","last_scraped_at":"2026-05-03T15:19:49.547Z","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=nicktrujillo-copado-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=nicktrujillo-copado-mcp-server"}},"signature":"QFewWgm1hQuWirzwLnzJR/4S26ADvil+AtIqg1RVAv/B2mLCcbe+VEurf16SgLfYEmOpkDWm/gwzeemoNYNqCA==","signedAt":"2026-06-21T05:29:47.491Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/nicktrujillo-copado-mcp-server","artifact":"https://unfragile.ai/nicktrujillo-copado-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=nicktrujillo-copado-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"}}