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Monte Carlo

Data & AI observability

Category
Data & Analytics
Primary Subcategory
Data Catalog, Governance & Observability
View in the Claude registry
Integration details

Description

The Monte Carlo MCP server gives Claude direct access to your data & AI observability platform. Query alerts, explore lineage, create monitors, and evaluate AI agent performance across your entire data stack.

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.

Brand
Monte Carlo
Access
Account required
First tracked
2026-05-13
Tool count
25
Geography
US

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Get updates when Monte Carlo’s Discoverability Score or category rank changes.

Claude Discoverability Score

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Monte Carlo in Data Catalog, Governance & Observability

9/100
Invisible

#11of 23competitors

Shown to buyers in 9.3% of contested Runs.

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 9.3/100
    Sets the score

  • Found

    · 4.7/100
    Diagnostic

  • Positioned

    · 54.4/100
    Diagnostic
How this score is measured

Monte Carlo organic discovery report

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See how Monte Carlo appears in Data Catalog, Governance & Observability, where it ranks, and how it compares with the wider Claude Connector ecosystem.

01

Your snapshot

Monte Carlo's score and Data Catalog, Governance & Observability position

02

Industry report

State of Agent Discovery

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Primary Subcategory

Competing in Claude Data Catalog, Governance & Observability

View Category
#11 of 23ranked by public Discoverability Score
Primary Subcategory
1DataHub52/100
2dbt47/100
3Snowflake46/100
4Google Cloud BigQuery33/100
5Neon31/100
11Monte Carlo9/100
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

25 tools agents can invoke

Monte Carlo 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 Monte Carlo alternatives on Claude?

As of 2026-09-29, Monte Carlo competes with DataHub, dbt, Snowflake, Google Cloud BigQuery, Neon, PlanetScale, Supabase, ClickHouse, MotherDuck, Datadog, Omni Analytics, incident.io, Informatica Catalog Discovery, Informatica Data Exploration, Rockhopper, atlan, Avo, BigID, Decube, Hubbl, Matia MCP, OSO in Claude Data Catalog, Governance & Observability, ranked by public Discoverability Score.

Where does Monte Carlo rank in Data Catalog, Governance & Observability on Claude?

As of 2026-09-29, Monte Carlo ranks #11 of 23 in Claude Data Catalog, Governance & Observability with a Discoverability Score of 9/100 (Invisible).

Where is this profile measured?

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