Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
A Codex stdio MCP server that generates repo-local tldraw diagrams and detects code graph drift.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
TLDRAW_MCP_ALLOWED_ROOTSNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"codex-tldraw": {
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add codex-tldraw --env TLDRAW_MCP_ALLOWED_ROOTS=your-value -- npx -y codex-tldraw-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"codex-tldraw": {
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"codex-tldraw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
TLDRAW_MCP_ALLOWED_ROOTS envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub jananadiw, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.5.0) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
A stdio MCP server that generates editable repo-local tldraw diagrams, portable SVG previews, and trackable code graphs with drift detection.
Add the server to Codex:
codex mcp add codex-tldraw -- npx -y codex-tldraw-mcp
Then ask Codex to diagram the current repo:
Use codex-tldraw to diagram this repo.
Reverse-engineer its runtime architecture:
Use codex-tldraw to show how this repo works across its main components.
Show the main flow first, keep short errors inside components, and label each interaction once.
Or ask for a diagram directly:
Use codex-tldraw to draw a password reset state machine.
Create a trackable JavaScript or TypeScript module graph:
Use codex-tldraw to create a code graph for this repo.
After the code changes, compare it with the saved graph:
Use codex-tldraw to preview code graph drift, then mark stale elements.
The default outputs are:
<repo>/boards/main.tldr
/boards/main.svg
Open the .tldr board in a tldraw-compatible viewer to edit it. Any MCP host, browser, documentation system, or code review can display the .svg preview directly.
See the v0.7.1 release notes for plugin fixes and verification details.
This repository also packages the server as a Codex plugin. The existing MCP tools still write .tldr and .svg files; the plugin adds a .tldr file handler that opens the editable board in an embedded React/tldraw app.
Two paths open the same editor:
Diagram tool panel — After draw_canvas, diagram_repo, or similar tools run, the inline MCP App loads the board from the repository-scoped server resource tldraw://repos/ /boards/ /file and saves through the app-only save_board tool.
`.tldr` file entrypoint — When Codex opens a repo file directly, the app uses the host file resource API (open_tldraw_file). Writable files save with ETag conflict protection.
Build the server and its single-file app:
bun install
bun run build
Install the published plugin from npm (recommended):
npm install -g codex-tldraw-mcp
codex plugin marketplace add "$(npm root -g)/codex-tldraw-mcp" codex plugin add codex-tldraw@codex-tldraw-mcp
Or install from GitHub:
codex plugin marketplace add jananadiw/codex-tldraw-mcp
codex plugin add codex-tldraw@codex-tldraw-mcp
The plugin requires Node.js 20.11 or later and npm on PATH. A GitHub plugin download does not build source or install dependencies. The launcher uses a built local copy when available; otherwise it runs the matching published npm version through npx. The first fallback launch needs registry access. No Bun installation is needed to use the plugin.
For development from this checkout:
bun run build
codex plugin marketplace add . codex plugin add codex-tldraw@codex-tldraw-mcp
The marketplace descriptor is .agents/plugins/marketplace.json, the plugin manifest is .codex-plugin/plugin.json, its MCP configuration is .mcp.json, and the bundled app is dist/app.html. MCP hosts without app support continue to use the existing text results, .tldr resources, and SVG previews.
.tldr board that stays with the project it explains, plus a portable .svg preview.For a handwriting font app, the workflow may be inferred as:
User writes alphabet on paper -> User takes a photo of the paper -> User uploads the image -> AI generates a font -> User downloads a .ttf file
If you prefer editing Codex MCP config directly:
[mcp_servers.codex-tldraw]
command = "npx" args = ["-y", "codex-tldraw-mcp"]
diagram_repo: scans a repo and appends a product workflow diagram to /boards/ .tldr.draw_canvas: appends a prompt-provided workflow, state machine, architecture sketch, or plan to /boards/ .tldr.draw_architecture: appends a simple codebase architecture view with a main flow, supporting components, actions, calls, and errors.diagram_code_graph: scans repository-local JavaScript and TypeScript modules and appends a trackable import graph.compare_code_graph: previews drift or marks changed and stale elements on an existing trackable code graph.list_boards: lists boards under a repo's boards/ directory.read_board_summary: summarizes generated diagrams and shape counts and returns both artifact paths.When using the plugin, pass the absolute path of the repository as repoPath on every repository tool call. The plugin runs from its installation directory, not the chat workspace. Missing or relative paths are rejected to prevent diagrams being written to the plugin cache. For a remote repository URL, clone it locally first, then use the checkout path.
Standalone MCP tools accept an optional repoPath. Relative paths resolve from the MCP server working directory.
Every diagram-writing tool saves both artifacts and returns boardPath and svgPath in structured output. Tool content also includes MCP resource links for the editable board and SVG preview. The SVG renderer covers the text, rectangle, and arrow shapes generated by this server and needs no browser runtime.
New board resource links carry the encoded absolute repository path. They keep working after a server restart or a tool call for another repository, including when both repositories use the same board name. Resource reads still enforce TLDRAW_MCP_ALLOWED_ROOTS.
Legacy tldraw://boards/ /... resources remain available for older standalone clients and use the last selected repository. Re-run a diagram tool to replace older editor links with repository-scoped links.
The editor checks the loaded board's ETag before saving, blocks stale saves, and offers Discard and reload after a conflict. Invalid board data is rejected before replacing files. Diagram writes use a per-board filesystem lock so simultaneous calls from different server processes preserve both appends.
diagram_code_graph stores stable repository-relative identities and fingerprints in MCP-owned shape metadata. Each source module becomes a node. Static imports, dynamic imports, re-exports, and CommonJS require calls between repository modules become edges.
Run compare_code_graph after the repository changes. Preview mode is the default and does not write the board:
Compare the current code with the newest code graph on boards/main.tldr.
To update the board, ask Codex to apply the drift markers or pass applyMarkers: true. The comparison uses four states:
unchanged: the stored identity and fingerprint still match.changed: the module still exists, but its exports or local import relationships changed.stale: the board contains an element that no longer exists in the current code graph.new: the current graph contains an element that is absent from the board.Stale elements become red and dashed. Changed modules become orange and dashed. New elements appear in the tool result; v0.4.0 does not insert or rearrange them. Re-running the comparison restores the original generated style when code matches again.
The comparison changes only MCP-generated graph styling and metadata. It preserves positions, sizes, labels, manual shapes, and other diagrams on the board, and it restores each element's prior color when drift clears. Boards created by diagram_repo, draw_canvas, or an older release do not contain trackable code-graph metadata; create a graph with diagram_code_graph before comparing drift.
The v0.4.0 scanner supports .js, .jsx, .mjs, .cjs, .ts, .tsx, .mts, and .cts modules. It reports unresolved relative imports and counts external imports without drawing external packages. It models module/import relationships, not runtime call graphs.
draw_canvas does not scan source files. The current repository is only the storage location for the generated board.
Example prompts:
Use codex-tldraw to draw the auth flow:
Visitor opens login -> chooses email or SSO -> completes MFA -> lands in dashboard.
Use codex-tldraw to make a state machine for password reset:
Idle -> Reset requested -> Email sent -> Token verified -> Password updated.
Use codex-tldraw to append an architecture diagram for this plan:
Web app calls API gateway, API gateway calls worker queue, worker writes generated files to object storage.
draw_architecture helps a new reader understand how work moves across a codebase. Codex inspects the code first, then sends the renderer a small model:
Keep libraries and helper modules inside component actions. For example, "validate the response with Zod" belongs inside the API component rather than becoming a separate Zod component. Meaningful arrows have bindings to both endpoint shapes.
See Architecture Diagrams for the analysis contract and input model.
This project is early and feedback is useful. Please open an issue if:
Use the GitHub issue templates for bugs, feature requests, and real-world examples.
This project is snapshot-only. It does not control a live browser canvas or provide live collaboration. It writes board files to the repository being diagrammed so a tldraw-compatible viewer can open them later.
The official tldraw MCP App is designed for hosts that can render an interactive tldraw canvas inside the chat context. In Codex Desktop, tool discovery worked in testing, and the tldraw search tool returned Editor API details, shape types, and helpers. The live exec path did not work: every call timed out after 30 seconds, including a read-only call to count the current page shapes.
That failure mode motivated the original file-based fallback. The v0.7.0 plugin now includes its own embedded MCP App editor, while generated SVG previews remain usable in hosts without app support.
This server started as a Codex-first fallbac
Solo se muestra el principio; lee el resto en el repo