I need to manage data pipelines and catalogs
Orchestrators, catalogs and data observability tools that run pipelines, trace lineage and say whether data is healthy.
13 tools · 4 official
Picked from listings that mention data pipelines, data catalog, data lineage, data orchestration or data quality in their name, description, tags or skills; those in Data & Analytics or Orchestration, or with MCP or API access, rank higher.
Best fits
Official
The ones published by the company behind the product.
Related tasks
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In stacks
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/tasks/manage-data-pipelines
I need to manage data pipelines and catalogs · 13 fit · 4 official · keywords: data pipelines, data catalog, data lineage, data orchestration, data quality · categories: data-analytics, orchestration · access: mcp+api
Orchestrators, catalogs and data observability tools that run pipelines, trace lineage and say whether data is healthy.
best fits
openmetadataapi+mcpQuality Status: Reports data-quality test results and freshness so agents can judge whether an asset is reliable.collibra-mcpmcpSearch the Collibra data catalog and business glossary, trace data lineage, and look up governed asset details from AI assistants over Collibra's MCP server.datahub-mcpmcpSearch Catalog: Searches the DataHub catalog with structured keyword syntax, boolean logic and filters to find tables, columns and dashboards.monte-carlo-mcpmcpTriage data quality alerts, trace table lineage, and create monitors in Monte Carlo data observability from Claude, Cursor, or any OAuth-capable MCP client.dagster-mcpmcpQueries Dagster+ assets, runs and pipeline health through Dagster's hosted MCP server: read run logs, launch runs and manage alert policies. For data engineering teams.flyteapi+cliOrchestrates ML pipelines, model serving, and agent workloads as durable tasks written in pure Python, with the flyte SDK and CLI, for teams running AI workloads at scale.kestraapi+cli+mcpOrchestrates event-driven workflows declared in YAML, with a REST API and MCP server so agents can trigger, monitor, and inspect pipeline executions.prefect-mcpmcpInspects and debugs Prefect flows, deployments, flow runs, work pools and logs from AI assistants, read-only, and looks up current Prefect docs.dbt-mcpmcp+cliLineage Discovery: Reads model metadata and lineage from the Discovery API to trace where a column or metric originates.unquantmcpDataset Catalog Browsing: Lists, describes, searches, and previews the available datasets so an agent can discover coverage before querying, via the…dremio-mcpmcpQuery Dremio lakehouse data in plain language from Claude, ChatGPT, or your own agent: run SQL, read schemas and lineage, and review failed jobs. For data teams.griptapeapi+cliBuild agents, pipelines, and workflows in Python with explicit control over prompts, memory, and tool access — off-prompt data handling keeps large payloads out of the context window.official
collibra-mcp, monte-carlo-mcp, dbt-mcp, dremio-mcp
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/browse?task=manage-data-pipelinesall 13, with filters/tasksevery task/api/tasks/manage-data-pipelinesthis task as JSONGET · no auth