Deepnote

Bring your Deepnote workspace into Codex. Search your workspace, trigger analytical workflows across 60+ data connectors, and use the output in Codex. No SQL, R, or Python knowledge required with the help of OpenAI models. With Deepnote MCP, you can: - Search across your projects, notebooks, and integrations - Run an end-to-end notebook - Pull the latest result from the notebook runs - See scheduled runs in the workspace All this while respecting your Deepnote workspace’s permissions. Note: this MCP requires an active Deepnote account and a Deepnote API token (https://deepnote.com/docs/deepnote-api).

View in the ChatGPT registry

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Data & Analytics
Primary Subcategory: Self-Serve BI & Conversational Analytics
Secondary Subcategories: None listed
Brand: Deepnote
Access: Account required
First tracked: 2026-05-22
Tool count: 19
Geography: US

ChatGPT Plugin Discoverability Score

ChatGPT organic discovery is not live yet

Deepnote is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.

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Primary Subcategory

Competing in ChatGPT Self-Serve BI & Conversational Analytics

View Category

Listed in alphabetical order

Primary Subcategory

Alteryx InsightsOrganic discovery is pendingGet the score at launch

Azadea OneOrganic discovery is pendingGet the score at launch

Bark AIOrganic discovery is pendingGet the score at launch

BlazeSQLOrganic discovery is pendingGet the score at launch

Bloom Profit AnalyticsOrganic discovery is pendingGet the score at launch

DeepnoteOrganic discovery is pendingGet the score at launch

Score explained

How the Discoverability Score works

Organic discovery scoring for Deepnote on ChatGPT is not live yet. The score will use measured agent conversations when it launches.

InvisibleBuriedEmergingCompetitiveWinning

Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.

FoundDiagnostic

Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodology Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.

Tools

19 tools agents can invoke

Create a new block in a Deepnote notebook.
create_block
Create an empty Deepnote notebook inside a project.
create_notebook
Start running a Deepnote notebook and return the created run.
create_run
Create a new Deepnote project, optionally inside a folder.
create_project
Fetch the full Markdown body of a Deepnote documentation article. Use `list_docs` first to find the slug.
get_doc
Return info about the API key calling the MCP server: key name and type, the user that created it, the workspace, and the access level (viewer, editor, admin, etc.).
get_me
Get Deepnote integration details and cached table structure. Use list_integrations to discover integration IDs.
get_integration
Get Deepnote notebook details, including blocks and input variables.
get_notebook
Get a Deepnote notebook run. By default returns a presigned snapshot download URL when available; optionally request inline snapshot content instead.
get_run
Return the Deepnote docs navigation tree (sections containing articles, in display order). Use this to discover which article to fetch with `get_doc` when answering product questions.
list_docs
List SQL blocks that use a Deepnote integration, optionally narrowed to a single project. Use list_integrations to discover integration IDs.
list_integration_block_usages
List notebooks that contain SQL blocks using a Deepnote integration, optionally narrowed to a single project. Use list_integrations to discover integration IDs.
list_integration_notebook_usages
List projects connected to a Deepnote integration, optionally narrowed to a single project. Use list_integrations to discover integration IDs.
list_integration_project_usages
List Deepnote workspace integrations, optionally filtered by name or type.
list_integrations
List historical runs for a Deepnote notebook.
list_notebook_runs
List Deepnote workspace projects, optionally filtered by name.
list_projects
Reorder blocks in a Deepnote notebook by moving one or more blocks to a new position.
reorder_notebook_blocks
Search Deepnote workspace resources across projects, notebooks, blocks, and integrations.
search
Update an existing block in a Deepnote notebook.
update_block

Deepnote FAQ

How do I improve a ChatGPT Plugin'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 Deepnote alternatives on ChatGPT?

As of 2026-08-14, Deepnote competes with Alteryx Insights, Azadea One, Bark AI, BlazeSQL, Bloom Profit Analytics, Book Report, Carbon Arc, Catalyst by Zoho, ChartMogul, Cleverbridge, Corporate Weather, Coupler.io, DataAssist-IO, Evidence Studio, Ezoic Analytics, Flourish, Fr8Labs Analytics, Fullmetrix, Hex, Keypup, Metorik, Omni, OWOX Data Marts, Prism by Crossdeck, Sportily, Steep, Sweet Analytics, Tableau, Tenzo, Tessie, ThoughtSpot Spotter, Voder, Wednesday.app, Winnow, WitCloud, XAPP Analyst in ChatGPT Self-Serve BI & Conversational Analytics, 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.