Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@tesserae-mcp Build a dashboard with weather widget for NYC and show preview"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
This repository has moved into the main Tesserae repo. Development now happens atdmellok/tesserae → packages/tesserae-mcp.
This repo is archived and read-only; it is kept only so existing installs and pinned
tags keep resolving. It will not receive further updates.
pip install tesserae-mcpIt is published to PyPI from the monorepo. To install from source:
pip install "git+https://github.com/dmellok/tesserae#subdirectory=packages/tesserae-mcp"Related MCP server: Excalidraw MCP Server
The stdio MCP bridge that lets an AI agent (Claude
Code / Desktop, Codex, Cursor, or any MCP client) build Tesserae canvas dashboards:
it lists your widgets and devices, lays out a canvas, renders a preview to check its own
work, and pushes to a panel. It is a thin client over a running Tesserae's /api/mcp
HTTP surface, so the rendering, widgets, and devices come from your own instance.
MCP servers (install & configure): https://docs.tesserae.ink/dev/mcp-servers/
Build dashboards with AI: https://docs.tesserae.ink/dev/mcp/
The bridge is a thin client over Tesserae's /api/mcp surface, so keeping it in the same
repo holds its tool list and doc-shape in lockstep with the server and tests both in one
CI run. It still ships a thin wheel (stdlib plus the mcp SDK only), so an agent-machine
install stays light.
Existing pip install git+https://github.com/dmellok/tesserae-mcp commands and the v*
tags in this repo continue to work but are frozen. Switch to pip install tesserae-mcp
to track new releases.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Build and run visual creative-production workflows from your AI agent.
Generate images, GIFs, and PDFs from HTML, URLs, or templates — from your AI agent.
AI agent website builder. Create and publish link-in-bio sites via MCP or REST API.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/dmellok/tesserae-mcp'
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