{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_stavbrener-airtable-mcp-server","slug":"stavbrener-airtable-mcp-server","name":"airtable-mcp-server","type":"mcp","url":"https://github.com/StavBrener/airtable-mcp-server","page_url":"https://unfragile.ai/stavbrener-airtable-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:StavBrener/airtable-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_stavbrener-airtable-mcp-server__cap_0","uri":"capability://tool.use.integration.schema.based.api.orchestration","name":"schema-based api orchestration","description":"This capability allows users to define and orchestrate API calls to Airtable using a schema-based approach. It leverages the Model Context Protocol (MCP) to facilitate communication between different models and the Airtable API, ensuring that data is structured and validated according to predefined schemas. This design choice enhances data integrity and simplifies integration with various models, making it easier to manage complex workflows.","intents":["How can I integrate Airtable with my existing ML models?","What is the best way to ensure data consistency when calling Airtable APIs?","Can I automate data retrieval and updates in Airtable using a structured approach?"],"best_for":["developers building data-driven applications that require Airtable integration"],"limitations":["Requires a clear schema definition, which can be complex for dynamic data structures","Limited to Airtable's API capabilities and rate limits"],"requires":["Node.js 14+","API key for Airtable"],"input_types":["structured data","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","data-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_stavbrener-airtable-mcp-server__cap_1","uri":"capability://data.processing.analysis.contextual.data.retrieval","name":"contextual data retrieval","description":"This capability enables the server to retrieve contextual data from Airtable based on the specific needs of the requesting model. It employs a context-aware mechanism that analyzes the request context and fetches relevant data, optimizing the response time and relevance. This is particularly useful in scenarios where different models require different subsets of data from Airtable.","intents":["How can I fetch only the relevant data from Airtable for my specific model?","What methods can I use to optimize data retrieval based on context?","Is there a way to reduce the amount of data transferred from Airtable?"],"best_for":["data scientists needing tailored data for model training"],"limitations":["May require additional logic to define context, which can complicate implementation","Performance can vary based on Airtable's API response times"],"requires":["Node.js 14+","API key for Airtable"],"input_types":["contextual queries","structured data"],"output_types":["structured data","filtered API responses"],"categories":["data-processing-analysis","contextual-data"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_stavbrener-airtable-mcp-server__cap_2","uri":"capability://tool.use.integration.multi.model.data.handling","name":"multi-model data handling","description":"This capability allows the server to manage interactions with multiple models simultaneously, routing requests to the appropriate model based on the defined schema. It uses a centralized routing mechanism that interprets incoming requests and directs them to the correct model, facilitating seamless integration and data flow between different components. This design choice enables complex workflows that involve multiple models interacting with Airtable data.","intents":["How can I manage multiple models that need to access Airtable data?","What is the best way to route requests to different models based on input?","Can I streamline interactions between various ML models and Airtable?"],"best_for":["teams developing multi-model applications that require Airtable access"],"limitations":["Increased complexity in managing model interactions can lead to maintenance challenges","Potential bottlenecks if not properly optimized for concurrent requests"],"requires":["Node.js 14+","API key for Airtable"],"input_types":["model requests","structured data"],"output_types":["structured data","model responses"],"categories":["tool-use-integration","model-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","API key for Airtable"],"failure_modes":["Requires a clear schema definition, which can be complex for dynamic data structures","Limited to Airtable's API capabilities and rate limits","May require additional logic to define context, which can complicate implementation","Performance can vary based on Airtable's API response times","Increased complexity in managing model interactions can lead to maintenance challenges","Potential bottlenecks if not properly optimized for concurrent requests","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:28.139Z","last_scraped_at":"2026-05-03T15:19:22.209Z","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=stavbrener-airtable-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=stavbrener-airtable-mcp-server"}},"signature":"Ya8O5mzevjvGK54MWaaIXUbF5/e+xBCHeTk6HvWnsV1rdvZJOSXHj3CXARhWtR/cidLFQRfTowa9HotVUbZOBg==","signedAt":"2026-06-20T13:32:07.709Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stavbrener-airtable-mcp-server","artifact":"https://unfragile.ai/stavbrener-airtable-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=stavbrener-airtable-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"}}