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Manage your behavioral data pipeline and schemas

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What is Snowplow MCP?

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Snowplow's MCP server gives an assistant read and write access to the main areas of Snowplow Console, the control plane for a behavioral data pipeline. It covers data structures and schemas, letting an agent browse existing ones, create new ones, and search Iglu Central for reusable public schemas. Event specifications and tracking plans are exposed with their event volume metrics, alongside source applications and the entities attached to them. On the operations side, agents can inspect pipeline configuration, health metrics and collector settings, reach Snowplow Micro instances used for local testing, investigate failed events, manage data quality alerts, and view or update enrichment configurations. The data catalog is browsable and searchable, which matters in practice because it lets an agent check what is already being tracked before proposing a new schema and creating a duplicate. Signals workflows are covered as well, including attribute groups, services, interventions and publishing to the compute engine. A documentation tool serves Snowplow docs pages in the same session, so schema syntax and enrichment behavior can be checked without leaving the conversation. Built for analytics engineers and data teams whose real work is tracking plan design and failed event triage, and who would rather drive that from Claude Desktop, Claude Code, Cursor or Codex than from the console UI.

Key Features

Browses and creates data structures, with Iglu Central search for reusable public schemasManages event specifications and tracking plans, including event volume metricsInspects pipeline configuration, health metrics, collector settings and Snowplow MicroInvestigates failed events and manages data quality alertsViews and updates enrichment configurationsSearches the data catalog and Snowplow documentation from the same session

Pricing

Freemium

Snowplow MCP offers a generous free tier with optional paid upgrades for advanced features.

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Snowplow MCP FAQ

How does Snowplow MCP help with tracking plan design?

Snowplow MCP exposes event specifications and tracking plans with their event volume metrics, source applications, and attached entities. Analytics engineers can browse existing schemas, create new ones, and check the data catalog to avoid duplicates before designing a tracking plan. The built-in documentation tool also provides access to Snowplow docs pages within the same session for syntax and enrichment behavior references.

How does Snowplow MCP compare to Segment?

Snowplow MCP is a control-plane assistant for the Snowplow behavioral data pipeline, whereas Segment is a separate customer data platform that competes with Snowplow. Unlike Segment, Snowplow MCP provides direct read and write access to Snowplow Console for managing schemas, pipeline health, failed events, and data quality alerts from within an assistant interface. Both tools serve data teams, but Snowplow MCP is specific to the Snowplow ecosystem.

Does Snowplow MCP work with data pipelines other than Snowplow?

No. Snowplow MCP is designed exclusively for the Snowplow behavioral data pipeline and the Snowplow Console control plane. It cannot manage or inspect data pipelines from other platforms such as Segment, Amplitude, or Fivetran.

Which teams benefit most from using Snowplow MCP?

Analytics engineers and data teams whose real work involves tracking plan design and failed event triage benefit most. They can drive these tasks from Claude Desktop, Claude Code, Cursor, or Codex instead of switching to the console UI.

How is Snowplow MCP priced?

Snowplow MCP is available on a free tier, with paid plans that offer more usage and additional features. The exact pricing tiers and limits are determined by the Snowplow subscription model.

Can Snowplow MCP search Iglu Central for schemas?

Yes. It can search Iglu Central for reusable public schemas, allowing an assistant to find and incorporate existing schema definitions without manual lookup. This capability is part of its read and write access to data structures and schemas in Snowplow Console.

Does Snowplow MCP provide access to live pipeline health metrics?

Yes. On the operations side, agents can inspect pipeline configuration, health metrics, and collector settings. This includes the ability to view collector health and manage data quality alerts directly through the assistant.

How does Snowplow MCP prevent duplicate schema creation?

The data catalog is browsable and searchable, so an agent can check what is already being tracked before proposing a new schema. This workflow helps avoid creating duplicate schemas and ensures the catalog stays clean.

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