{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-tinybird","slug":"tinybird","name":"Tinybird","type":"mcp","url":"https://github.com/tinybirdco/mcp-tinybird","page_url":"https://unfragile.ai/tinybird","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-tinybird__cap_0","uri":"capability://tool.use.integration.serverless.clickhouse.query.execution","name":"serverless-clickhouse-query-execution","description":"Execute SQL queries against Tinybird's serverless ClickHouse infrastructure through MCP protocol, with automatic connection pooling and query optimization. The MCP server translates tool calls into authenticated HTTP requests to Tinybird's API endpoints, handling response serialization and error propagation back to the LLM client.","intents":["Run analytical SQL queries on time-series data without managing database infrastructure","Execute ad-hoc data exploration queries from Claude or other MCP-compatible LLM clients","Integrate real-time analytics into agentic workflows without custom API wrappers"],"best_for":["Data engineers building LLM-powered analytics agents","Teams using Claude with MCP for data-driven decision making","Developers prototyping analytics features without database DevOps"],"limitations":["Query execution latency depends on Tinybird cluster performance and network round-trip time","No built-in query result caching — each MCP call triggers a fresh database query","Limited to Tinybird's SQL dialect and ClickHouse function set","No transaction support — each query is independent and atomic"],"requires":["Tinybird account with active API token","MCP-compatible client (Claude Desktop, Cline, or other MCP host)","Network connectivity to Tinybird API endpoints (api.tinybird.co)"],"input_types":["SQL query string","query parameters as key-value pairs"],"output_types":["JSON array of result rows","query metadata (execution time, rows affected)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_1","uri":"capability://tool.use.integration.data.source.ingestion.management","name":"data-source-ingestion-management","description":"Create, configure, and manage data sources (connectors) that feed data into Tinybird's ClickHouse backend through the MCP interface. The MCP server exposes Tinybird's data source API, allowing LLM clients to define ingestion pipelines for CSV, JSON, Parquet, and streaming sources without leaving the conversation context.","intents":["Set up new data connectors (e.g., S3, Kafka, HTTP) from within an agentic workflow","Configure data transformation rules and schema mapping for incoming data","Automate data pipeline setup as part of larger analytics infrastructure provisioning"],"best_for":["Analytics engineers automating data pipeline configuration","Agents that need to dynamically ingest new data sources based on user requests","Teams building self-service analytics platforms with LLM interfaces"],"limitations":["Data source creation requires appropriate Tinybird workspace permissions","Schema inference is limited to Tinybird's auto-detection capabilities — complex nested structures may require manual schema definition","No rollback mechanism for failed ingestion jobs — requires manual cleanup"],"requires":["Tinybird API token with data source creation permissions","Source data accessible at a URL or cloud storage location (S3, GCS, etc.)","MCP-compatible LLM client"],"input_types":["data source configuration object (type, location, credentials)","schema definition (column names, types)"],"output_types":["data source ID and status","ingestion job metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_2","uri":"capability://tool.use.integration.materialized.view.and.pipe.orchestration","name":"materialized-view-and-pipe-orchestration","description":"Create and manage Tinybird Pipes (data transformation DAGs) and materialized views through MCP tool calls, enabling LLM clients to define multi-step analytics workflows. 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The MCP server manages endpoint creation, parameter binding, and response formatting, exposing them as callable tools that Claude can invoke or recommend to users.","intents":["Expose analytics queries as REST APIs without manual endpoint configuration","Discover what analytics endpoints are available in a Tinybird workspace","Dynamically publish new endpoints as part of agentic analytics workflows"],"best_for":["Teams building analytics APIs that need to be discoverable by LLM agents","Developers automating API endpoint creation for data products","Organizations exposing internal analytics to external consumers via LLM-driven interfaces"],"limitations":["API endpoint discovery is limited to the authenticated user's workspace permissions","No built-in rate limiting or quota management — requires Tinybird workspace settings","Published endpoints are public once created — no fine-grained access control per endpoint"],"requires":["Tinybird API token with endpoint creation permissions","Existing Pipes or queries to publish as endpoints","MCP-compatible LLM client"],"input_types":["pipe or query ID to publish","endpoint configuration (path, parameters, caching)"],"output_types":["endpoint URL and schema","authentication token for endpoint access"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_4","uri":"capability://tool.use.integration.workspace.and.resource.introspection","name":"workspace-and-resource-introspection","description":"Query Tinybird workspace metadata including available tables, columns, Pipes, data sources, and API endpoints through MCP tools. The MCP server introspects the Tinybird workspace schema and exposes it as structured data, enabling Claude to understand the available analytics assets and make informed decisions about which queries or transformations to execute.","intents":["Discover what tables and data sources exist in a Tinybird workspace","Understand table schemas before writing queries","List available Pipes and API endpoints to recommend to users"],"best_for":["LLM agents that need to understand workspace structure before executing queries","Analytics teams exploring unfamiliar Tinybird workspaces","Developers building discovery features into analytics interfaces"],"limitations":["Introspection is limited to the authenticated user's workspace permissions","Large workspaces with hundreds of tables may return slow responses","Schema metadata does not include table statistics (row count, size) — requires separate queries"],"requires":["Tinybird API token with read permissions","MCP-compatible LLM client"],"input_types":["workspace ID (optional — defaults to authenticated workspace)"],"output_types":["JSON array of tables with column schemas","list of Pipes and API endpoints","data source configurations"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_5","uri":"capability://tool.use.integration.authentication.and.token.management","name":"authentication-and-token-management","description":"Manage Tinybird API authentication through MCP by storing and rotating API tokens, handling token expiration, and managing workspace-level permissions. The MCP server securely stores credentials and injects them into all Tinybird API requests, abstracting authentication complexity from the LLM client.","intents":["Securely authenticate to Tinybird without exposing API tokens in conversation context","Rotate API tokens programmatically to maintain security","Manage multi-workspace access with different credentials"],"best_for":["Teams deploying MCP servers in production with security requirements","Organizations managing multiple Tinybird workspaces with different access levels","Developers building secure analytics agents that handle sensitive credentials"],"limitations":["Token storage security depends on the MCP server's host environment — no built-in encryption","No audit logging of API calls — requires external monitoring","Token rotation requires manual intervention or external orchestration"],"requires":["Tinybird API token (stored securely in environment or config)","MCP server running in a secure environment with credential isolation"],"input_types":["API token string","workspace ID"],"output_types":["authentication status","workspace metadata"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_6","uri":"capability://data.processing.analysis.query.result.formatting.and.export","name":"query-result-formatting-and-export","description":"Format and export query results from Tinybird in multiple formats (JSON, CSV, Parquet) through MCP tools, with support for result pagination, filtering, and aggregation. The MCP server handles result serialization and can stream large result sets to avoid token overhead in LLM context.","intents":["Export analytics query results in formats suitable for downstream processing","Paginate large result sets to avoid overwhelming LLM context windows","Format results for presentation or integration with external tools"],"best_for":["Agents that need to export analytics results to external systems","Teams working with large datasets that exceed LLM context limits","Developers building analytics dashboards or reports from Tinybird data"],"limitations":["Result formatting adds latency proportional to result set size","Pagination requires maintaining cursor state across multiple MCP calls","Large exports (>100MB) may exceed MCP message size limits"],"requires":["Tinybird API token with query execution permissions","MCP-compatible LLM client"],"input_types":["query result object","format specification (JSON, CSV, Parquet)","pagination parameters (limit, offset)"],"output_types":["formatted result string or file","pagination metadata"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-tinybird__cap_7","uri":"capability://tool.use.integration.error.handling.and.query.validation","name":"error-handling-and-query-validation","description":"Validate SQL queries before execution and provide detailed error messages when queries fail, including suggestions for fixing syntax errors or schema mismatches. The MCP server parses queries against the workspace schema and returns actionable error feedback to Claude, enabling iterative query refinement.","intents":["Catch SQL syntax errors before executing expensive queries","Understand why queries failed and how to fix them","Validate that referenced tables and columns exist before execution"],"best_for":["Agents building queries iteratively with feedback loops","Teams reducing wasted compute on invalid queries","Developers building user-friendly analytics interfaces with error guidance"],"limitations":["Query validation is limited to syntax and schema checks — semantic errors (e.g., incorrect aggregation logic) are not caught","Error messages depend on Tinybird's ClickHouse error reporting — some errors may be cryptic","Validation adds latency to the query submission flow"],"requires":["Tinybird API token with query execution permissions","MCP-compatible LLM client"],"input_types":["SQL query string"],"output_types":["validation status (valid/invalid)","error message with suggestions"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Tinybird account with active API token","MCP-compatible client (Claude Desktop, Cline, or other MCP host)","Network connectivity to Tinybird API endpoints (api.tinybird.co)","Tinybird API token with data source creation permissions","Source data accessible at a URL or cloud storage location (S3, GCS, etc.)","MCP-compatible LLM client","Tinybird workspace with Pipe creation permissions","Existing data sources or tables to build Pipes from","Tinybird API token with endpoint creation permissions","Existing Pipes or queries to publish as endpoints"],"failure_modes":["Query execution latency depends on Tinybird cluster performance and network round-trip time","No built-in query result caching — each MCP call triggers a fresh database query","Limited to Tinybird's SQL dialect and ClickHouse function set","No transaction support — each query is independent and atomic","Data source creation requires appropriate Tinybird workspace permissions","Schema inference is limited to Tinybird's auto-detection capabilities — complex nested structures may require manual schema definition","No rollback mechanism for failed ingestion jobs — requires manual cleanup","Pipe creation requires understanding Tinybird's Pipe syntax and node types","Materialized views incur storage costs and require manual refresh scheduling","No built-in version control for Pipes — changes are immediate and not easily reversible","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:04.050Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=tinybird","compare_url":"https://unfragile.ai/compare?artifact=tinybird"}},"signature":"vxp6KPSgZILNQC53sYtYD/b5o8MEF+by0A21p+bWMGOBEDmcdTdJ74fOlMSujvvZh0CRS9JFGGnGQNaoTU8vCQ==","signedAt":"2026-06-22T21:13:35.221Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/tinybird","artifact":"https://unfragile.ai/tinybird","verify":"https://unfragile.ai/api/v1/verify?slug=tinybird","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"}}