mcp server
Dreamlit
Create, test, publish, and manage Dreamlit notification workflows from AI clients.
Description as published by the maintainer. Source
- version 0.1.0
- slowing
slowing — Most recent push to the repository was 2026-05-14.
What this server can do
11 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
confirm_publish(workflowId, isSandboxed, expectedUpdatedAtIso, expectedEditableVersionId, expectedPublishedVersionId)- Use only after explicit user confirmation and a prior prepare_publish result to publish or schedule a Dreamlit workflow. Side effect: installs live database/repeating/auth triggers, schedules or sends broadcasts, and may enable notification delivery; sandbox mode can hold notifications for inspection. Returns the published workflow status and app URLs. Do not call speculatively or without carrying forward the prepare_publish safety fields. Required: workflowId.
create_or_update_workflow(prompt, projectId, workflowId, userCurrentTimeIso, userCurrentTimeZoneId, userEmailStepComments)- Creates a new Dreamlit workflow draft or updates an existing draft from an outcome-oriented natural-language prompt. Use after get_status; use get_workflow_and_preview_url first when editing an existing workflow. Existing Supabase Auth workflows can be edited except for the immutable trigger step; creating Supabase Auth workflows must happen through Supabase Auth email setup in the Dreamlit web app. Side effect: may create or modify a draft, but does not publish or install live triggers. Returns the workflow/draft result, action-required or handoff details when more input is needed, and relevant app URLs. Do not use for publishing, direct database changes, or low-level graph edits. Required: prompt.
get_analytics(sort, view, limit, range, cursor, window, channel, filters, include, timeZone, projectId)- Read-only. Use to query Dreamlit analytics for overview metrics, notification rows, recipient engagement, or workflow run rows with filters, sorting, and cursor pagination. Returns bounded structured analytics data, effective query metadata, pagination details when rows are included, and relevant app URLs. Do not use for CSV exports, bulk dumps, workflow edits, publishing, or low-level database access. Required: view.
get_status(projectId, workflowId)- Read-only. Use first when the agent needs Dreamlit product guidance, prompting guidance, approved workspace context, project setup, schema hints, workflow state, or relevant app URLs. Returns a compact context pack with concepts, recommended tool flow, actor/workspace/project data, optional authoring context, optional workflow context, and appUrls. Do not use this to create, update, publish, or unpublish workflows.
get_workflow_and_preview_url(workflowId)- Read-only. Use before editing, verifying, or preparing publish for an existing workflow. Returns normalized draft and published workflow structure plus the Dreamlit preview/builder URL and status URLs. Do not use to create, update, publish, or unpublish workflows. Required: workflowId.
list_brand_styles(limit, offset, projectId)- Read-only. Use when the user wants to inspect saved project brand styles for generated email drafts. Returns paginated project brand style summaries, ids, default status, style metadata, and app URLs. Do not use to create, update, delete, or expose raw style provenance.
list_projects(limit, search)- Read-only. Use when the target project is unknown or the user names a project instead of providing an id. Returns accessible Dreamlit projects in the approved workspace with project and workflow-list URLs. Do not use to inspect workflow structure or author changes.
list_workflows(limit, offset, search, projectId, triggerFilters)- Read-only. Use to find workflows in a project by name, description, or trigger type before inspection or editing. Trigger filters include database, auth email, repeating, broadcast, and no-trigger workflows. Returns paginated workflow summaries, published/sandbox state, trigger type, workflow URLs, totalCount, hasMore, and nextOffset. Do not use as the final source of truth before editing; call get_workflow_and_preview_url for full structure.
prepare_publish(workflowId)- Read-only validation step before publishing. Use after the user asks to publish and after inspecting the workflow if needed. Returns validation status, publish mode, preview URL, and a confirmation payload with version/timestamp safety checks for confirm_publish. Does not publish or schedule anything by itself. Required: workflowId.
send_workflow_test(rowData, workflowId, confirmSend, messageType, testTargetId, testRecipientEmail)- Side effect when confirmSend is true: sends one current draft email or Slack message for review, but does not publish, schedule, or edit the workflow. Use after authoring or inspection when the user wants to verify an important message before publishing. Returns sent-test details, app URLs, a confirmation request, or a clarification request with user-facing message choices. Do not expose test target ids as copy; ask users to choose by message label and confirm before sending. Required: workflowId.
unpublish_workflow(workflowId)- Use after explicit user intent to unpublish a Dreamlit workflow. Side effect: disables live triggers or schedules for that workflow and stops future automated sends. Returns updated workflow status and app URLs. Do not use for deleting drafts, canceling one broadcast run, or editing workflow content. Required: workflowId.
Last successful function declaration observed on . Source: https://mcp.dreamlit.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.dreamlit.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-05-14 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-07 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-05-07 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 11 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.dreamlit.ai | |
| mcp endpoint status | ok | The server listed 11 functions when asked. | as of probe | mcp.dreamlit.ai |
Where to get it
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These share tags the maintainers applied themselves, such as workflows, notifications. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: dreamlit, mcp, model-context-protocol, notifications, workflows.
This record as data
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