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Informatica Catalog Discovery

The Catalog Discovery MCP server allows your AI agents to discover and explore enterprise data assets in Cloud Data Governance and Catalog

View in the Claude registry
Integration details

Description

This MCP Server is the AI agent's gateway to discovering and exploring enterprise data assets within Cloud Data Governance and Catalog (CDGC). It allows AI agents to search the catalog using natural language or structured keyword queries, retrieve comprehensive asset metadata, and understand relationships between data assets. This enables LLMs to ground their responses in governed, accurate enterprise data context.

Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Data Catalog, Governance & Observability

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-09-03
Tool count
2
Geography
US

Claude Discoverability Score

Your Claude Discoverability Score is being prepared

Claude can surface a verified Connector when it matches a user’s Prompt.We are preparing Informatica Catalog Discovery’s Discoverability Score and will publish it when the benchmark is ready.

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What discovery looks like

Claude showing a list of relevant Connectors in a conversation

Claude can surface verified Connectors when they match a user’s Prompt.

How this score is measured
Primary Subcategory
#16 of 23ranked by public Discoverability Score
Primary Subcategory
1DataHub53/100
2dbt50/100
3Snowflake45/100
4PlanetScale33/100
5Neon32/100
16Informatica Catalog DiscoveryComing soonGet notified
atlanPending VerificationGet notified
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

2 tools agents can invoke

Informatica Catalog Discovery FAQ
How do I improve a Verified connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Informatica Catalog Discovery alternatives on Claude?

As of 2026-09-16, Informatica Catalog Discovery competes with DataHub, dbt, Snowflake, PlanetScale, Neon, Google Cloud BigQuery, Supabase, ClickHouse, MotherDuck, Monte Carlo, Datadog, incident.io, Coralogix, Omni Analytics, Rockhopper, atlan, Avo, BigID, Decube, Hubbl, Informatica Data Exploration, Matia MCP in Claude Data Catalog, Governance & Observability, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.