Dreamlit

Create, test, publish, and manage Dreamlit notification workflows from AI clients.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dreamlit": {
      "url": "https://mcp.dreamlit.ai/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (11)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dreamlit.

get_status

Get Dreamlit guidance, workspace context, project setup, schema hints, workflow state, and app URLs.

list_projects

Find accessible Dreamlit projects in the approved workspace.

list_workflows

Find workflows in a project by name, description, trigger type, and pagination.

list_brand_kits

Find saved brand kit ids and style summaries with pagination before applying one to generated email drafts.

get_workflow_and_preview_url

Inspect a workflow draft and get the Dreamlit preview or builder URL before editing or publishing.

get_analytics

Query bounded notification analytics, recipient engagement, and workflow run data with filters and cursor pagination.

Documentation Overview

Dreamlit MCP

Dreamlit MCP lets AI clients create, inspect, test, publish, unpublish, analyze, and style Dreamlit notification workflows.

Dreamlit is a database-driven notification workflow platform for Supabase and Postgres apps. Use this MCP server when you want an AI client to help build notification workflows from outcome-oriented prompts, review and publish them through Dreamlit, or answer bounded analytics questions about notification performance.

Server

Production MCP URL: https://mcp.dreamlit.ai/mcp
Transport: Streamable HTTP
Authentication: OAuth, with personal access token fallback for clients that do not support OAuth

This repository contains public setup docs and MCP registry metadata for Dreamlit's hosted remote MCP server. The production backend implementation is not open source.

Quick Start

Use your MCP client's remote server flow and enter:

text

https://mcp.dreamlit.ai/mcp

The client should open a Dreamlit authorization page. Choose the workspace you want the AI client to access and approve the requested scopes.

Codex CLI

codex mcp add dreamlit --url https://mcp.dreamlit.ai/mcp
codex mcp login dreamlit

To request every supported v1 scope explicitly:

codex mcp login dreamlit --scopes workflows:read,workflows:write,workflows:publish,analytics:read

MCP Inspector

Terminal

npx @modelcontextprotocol/inspector

Then choose Streamable HTTP and use:

text

https://mcp.dreamlit.ai/mcp

Tools

Dreamlit exposes product-level workflow and analytics tools, not low-level graph editing or database APIs.

Tool	Scope	Purpose
`get_status`	`workflows:read`	Get Dreamlit guidance, workspace context, project setup, schema hints, workflow state, and app URLs.
`list_projects`	`workflows:read`	Find accessible Dreamlit projects in the approved workspace.
`list_workflows`	`workflows:read`	Find workflows in a project by name, description, trigger type, and pagination.
`list_brand_kits`	`workflows:read`	Find saved brand kit ids and style summaries with pagination before applying one to generated email drafts.
`get_workflow_and_preview_url`	`workflows:read`	Inspect a workflow draft and get the Dreamlit preview or builder URL before editing or publishing.
`get_analytics`	`analytics:read`	Query bounded notification analytics, recipient engagement, and workflow run data with filters and cursor pagination.
`create_or_update_workflow`	`workflows:write`	Create a new workflow draft or update an existing draft from a natural-language prompt.
`send_workflow_test`	`workflows:write`	Confirm and send a draft email or Slack test without publishing the workflow.
`prepare_publish`	`workflows:publish`	Validate a workflow before publishing and return confirmation fields.
`confirm_publish`	`workflows:publish`	Publish or schedule a workflow after explicit user confirmation.
`unpublish_workflow`	`workflows:publish`	Disable live triggers or schedules for a workflow.

Recommended Flow

Call get_status first to understand the workspace, project setup, and prompting guidance.
Use list_projects and list_workflows if the user names a project or workflow without IDs.
Use list_brand_kits when the user wants a specific saved brand kit applied to generated email drafts.
Use get_workflow_and_preview_url before editing an existing workflow.
Use get_analytics for bounded analytics questions, filtering first and paginating with returned cursors for larger result sets.
Use create_or_update_workflow to create or update a draft.
Open the returned preview or builder URL and send workflow tests for important email or Slack messages.
Publish only after explicit user confirmation, using prepare_publish followed by confirm_publish.

Drafts are not live after authoring. Publishing is always a separate explicit step.

Prompting Tips

Ask for the outcome, not a workflow graph. Good prompts include:

The event or schedule that should start the workflow.
The audience or recipient.
The message goal and tone.
The data needed for personalization.
Timing, timezone, and business rules.
Whether recipients should be able to unsubscribe.

Examples:

text

When a new organization row is inserted, send an internal Slack alert with the organization name, owner email, and plan.

text

Every Monday at 9 AM America/New_York, send admins a weekly usage digest summarizing active users, failed payments, and new signups.

text

Tomorrow at 10 AM, announce the launch to active users who opted into product updates. Include unsubscribe.

Access Model

OAuth access is scoped to the workspace selected during authorization. Personal access tokens are project scoped and can be created from Dreamlit project settings.

Available scopes:

workflows:read
workflows:write
workflows:publish
analytics:read

Use the least privilege that fits the client. Read-only workflow and brand-kit clients should request only workflows:read; analytics clients should request analytics:read.

Data Handling

Dreamlit MCP can access workflow metadata, saved brand kit summaries, connected project context, and bounded analytics results needed to perform the requested actions. It does not require clients to send database credentials through MCP.

Analytics access is structured and paginated. Use filters and cursors for larger result sets; CSV exports and bulk dumps are not exposed through MCP.

Do not paste secrets, raw credentials, or private tokens into prompts. Use Dreamlit's app settings for integrations and credentials.

Support

For support, contact support@dreamlit.ai.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dreamlit

Dreamlit is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "dreamlit": { "url": "https://mcp.dreamlit.ai/mcp" } }

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Technical Specs & Signals

CategoryCommunication

12/12 checks healthy over the last 45d

43Quality signal: Fair · 43/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership6/20

Documentation & tools25/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

2 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage — this is a directional signal, not a security audit.

Critical 1High 1Medium 0Low 0

Scanned 26d ago via OSV.dev · https://mcp.dreamlit.ai/mcp (npm)

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More in 💬 Communication →Best MCP servers for Slack & Communication →Alternatives to Dreamlit →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Dreamlit

Create, test, publish, and manage Dreamlit notification workflows from AI clients.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dreamlit": {
      "url": "https://mcp.dreamlit.ai/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (11)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dreamlit.

get_status

Get Dreamlit guidance, workspace context, project setup, schema hints, workflow state, and app URLs.

list_projects

Find accessible Dreamlit projects in the approved workspace.

list_workflows

Find workflows in a project by name, description, trigger type, and pagination.

list_brand_kits

Find saved brand kit ids and style summaries with pagination before applying one to generated email drafts.

get_workflow_and_preview_url

Inspect a workflow draft and get the Dreamlit preview or builder URL before editing or publishing.

get_analytics

Query bounded notification analytics, recipient engagement, and workflow run data with filters and cursor pagination.

Documentation Overview

Dreamlit MCP

Dreamlit MCP lets AI clients create, inspect, test, publish, unpublish, analyze, and style Dreamlit notification workflows.

Server

Production MCP URL: https://mcp.dreamlit.ai/mcp
Transport: Streamable HTTP
Authentication: OAuth, with personal access token fallback for clients that do not support OAuth

This repository contains public setup docs and MCP registry metadata for Dreamlit's hosted remote MCP server. The production backend implementation is not open source.

Quick Start

Use your MCP client's remote server flow and enter:

text

https://mcp.dreamlit.ai/mcp

The client should open a Dreamlit authorization page. Choose the workspace you want the AI client to access and approve the requested scopes.

Codex CLI

codex mcp add dreamlit --url https://mcp.dreamlit.ai/mcp
codex mcp login dreamlit

To request every supported v1 scope explicitly:

codex mcp login dreamlit --scopes workflows:read,workflows:write,workflows:publish,analytics:read

MCP Inspector

Terminal

npx @modelcontextprotocol/inspector

Then choose Streamable HTTP and use:

text

https://mcp.dreamlit.ai/mcp

Tools

Dreamlit exposes product-level workflow and analytics tools, not low-level graph editing or database APIs.

Tool	Scope	Purpose
`get_status`	`workflows:read`	Get Dreamlit guidance, workspace context, project setup, schema hints, workflow state, and app URLs.
`list_projects`	`workflows:read`	Find accessible Dreamlit projects in the approved workspace.
`list_workflows`	`workflows:read`	Find workflows in a project by name, description, trigger type, and pagination.
`list_brand_kits`	`workflows:read`	Find saved brand kit ids and style summaries with pagination before applying one to generated email drafts.
`get_workflow_and_preview_url`	`workflows:read`	Inspect a workflow draft and get the Dreamlit preview or builder URL before editing or publishing.
`get_analytics`	`analytics:read`	Query bounded notification analytics, recipient engagement, and workflow run data with filters and cursor pagination.
`create_or_update_workflow`	`workflows:write`	Create a new workflow draft or update an existing draft from a natural-language prompt.
`send_workflow_test`	`workflows:write`	Confirm and send a draft email or Slack test without publishing the workflow.
`prepare_publish`	`workflows:publish`	Validate a workflow before publishing and return confirmation fields.
`confirm_publish`	`workflows:publish`	Publish or schedule a workflow after explicit user confirmation.
`unpublish_workflow`	`workflows:publish`	Disable live triggers or schedules for a workflow.

Recommended Flow

Call get_status first to understand the workspace, project setup, and prompting guidance.
Use list_projects and list_workflows if the user names a project or workflow without IDs.
Use list_brand_kits when the user wants a specific saved brand kit applied to generated email drafts.
Use get_workflow_and_preview_url before editing an existing workflow.
Use get_analytics for bounded analytics questions, filtering first and paginating with returned cursors for larger result sets.
Use create_or_update_workflow to create or update a draft.
Open the returned preview or builder URL and send workflow tests for important email or Slack messages.
Publish only after explicit user confirmation, using prepare_publish followed by confirm_publish.

Drafts are not live after authoring. Publishing is always a separate explicit step.

Prompting Tips

Ask for the outcome, not a workflow graph. Good prompts include:

The event or schedule that should start the workflow.
The audience or recipient.
The message goal and tone.
The data needed for personalization.
Timing, timezone, and business rules.
Whether recipients should be able to unsubscribe.

Examples:

text

When a new organization row is inserted, send an internal Slack alert with the organization name, owner email, and plan.

text

Every Monday at 9 AM America/New_York, send admins a weekly usage digest summarizing active users, failed payments, and new signups.

text

Tomorrow at 10 AM, announce the launch to active users who opted into product updates. Include unsubscribe.

Access Model

OAuth access is scoped to the workspace selected during authorization. Personal access tokens are project scoped and can be created from Dreamlit project settings.

Available scopes:

workflows:read
workflows:write
workflows:publish
analytics:read

Use the least privilege that fits the client. Read-only workflow and brand-kit clients should request only workflows:read; analytics clients should request analytics:read.

Data Handling

Analytics access is structured and paginated. Use filters and cursors for larger result sets; CSV exports and bulk dumps are not exposed through MCP.

Do not paste secrets, raw credentials, or private tokens into prompts. Use Dreamlit's app settings for integrations and credentials.

Support

For support, contact support@dreamlit.ai.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dreamlit

Dreamlit is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "dreamlit": { "url": "https://mcp.dreamlit.ai/mcp" } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/dreamlit?style=directory)](https://allmcps.com/mcp/dreamlit)

HTML Embed

<a href="https://allmcps.com/mcp/dreamlit"><img src="https://allmcps.com/api/badge/dreamlit?style=directory" alt="Dreamlit on AllMCPs" /></a>

Technical Specs & Signals

CategoryCommunication

12/12 checks healthy over the last 45d

43Quality signal: Fair · 43/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership6/20

Documentation & tools25/30

Adoption & activity1/15

Community engagement0/10

Supply-chain signal

Critical 1High 1Medium 0Low 0

Scanned 26d ago via OSV.dev · https://mcp.dreamlit.ai/mcp (npm)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

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