AI Connectors · Productivity

MarcoPolo

Secure container where ChatGPT queries connected data systems

Listed in ChatGPT

Overview

What MarcoPolo does

MarcoPolo creates an isolated workspace in which ChatGPT can operate on real data. Connections can be made to databases, APIs, S3 storage, lakehouses, CRMs, Jira, and log systems, using scoped credentials that are kept away from the model.

Inside the container the model has DuckDB, Python, and a shell, plus tooling for exploring, querying, transforming, and analysing information that sits in more than one system. The workspace is persistent, so later sessions continue from earlier work rather than starting over.

The listing describes uses such as preparing a report, getting oriented in an unfamiliar dataset, debugging a problem, and checking recent metrics. Bundled skills cover connection setup, the connection command line, workspace use, and querying.

Who it is for

Data and analytics engineers who need the model working against live systems under credentials it never sees.

What stands out

Credentials stay in the container rather than passing to the model, and the workspace keeps state between sessions.

Availability

Where MarcoPolo is listed

MarcoPolo is listed in the ChatGPT apps directory only. Immersa, Inc. has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.

ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.

ChatGPT listing

In the ChatGPT apps directory

Developer
Immersa, Inc.
Filed under
Productivity
Listed since
May 2026
Authentication
Authenticates when installed
Website
marcopolo.dev
Policies published
Privacy policy · Terms of service
Official listing
Open in ChatGPT
Snapshot
August 2026

Named skills

MarcoPolo declares 4 named skills, which puts it in the 6.7% of ChatGPT-listed apps that do.

  • query-and-analyze
  • setup-connection
  • using-connection-cli
  • using-marcopolo-workspace

Example prompts from the listing

  • perform exploratory analytics on the PRODUCT_METRICS table in Snowflake

Nearby

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Emergent

Start and track full-stack app builds from a conversation

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Empirical

Portable memory store for AI tools and sessions

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This is an independent catalogue entry compiled by Node8 from MarcoPolo's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Immersa, Inc., and inclusion here is not an endorsement.

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