Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Build, align & render a real optical bench in Blender; drivable by an AI agent over MCP.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPTICS_BRIDGE_PORT, OPTICS_BRIDGE_HOSTYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"blender-optics-simulator": {
"command": "uvx",
"args": [
"blender-optics-mcp"
],
"env": {
"OPTICS_BRIDGE_PORT": "your-value",
"OPTICS_BRIDGE_HOST": "your-value"
}
}
}
}Run this in your terminal
claude mcp add blender-optics-simulator --env OPTICS_BRIDGE_PORT=your-value --env OPTICS_BRIDGE_HOST=your-value -- uvx blender-optics-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"blender-optics-simulator": {
"command": "uvx",
"args": [
"blender-optics-mcp"
],
"env": {
"OPTICS_BRIDGE_PORT": "your-value",
"OPTICS_BRIDGE_HOST": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"blender-optics-simulator": {
"type": "stdio",
"command": "uvx",
"args": [
"blender-optics-mcp"
],
"env": {
"OPTICS_BRIDGE_PORT": "your-value",
"OPTICS_BRIDGE_HOST": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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OPTICS_BRIDGE_PORT envOPTICS_BRIDGE_HOST envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account emircbngl, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.24.4) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An optical bench you lay out in Blender, trace with real optics, and can hand to an AI agent.
Place lasers, mirrors, lenses, waveplates, gratings, crystals and detectors in 3-D. A live engine traces the beam through them — rays, Gaussian beams, polarization, dispersion — mounts everything on real opto-mechanics, and renders it in Cycles. The whole optical state is readable and writable over a localhost MCP bridge, so an agent works from measured geometry instead of guesses.
Sixteen seconds, rendered from a scene the add-on built. Full-quality MP4 .
Requires Blender 4.2 LTS or newer (4.2+ / 5.x).
One-click, keeps itself updated. Open the [install page](https://emircbngl.github.io/blender-optics-simulator/) and drag the *“⤓ Drag this into Blender to install”* button onto an open Blender window. That installs the add-on and subscribes you to updates in one gesture. Turn on *Edit ▸ Preferences ▸ System ▸ Network ▸ Allow Online Access* first.
From a zip. Download optical_alignment_sim- .zip from Releases and use *Edit ▸ Preferences ▸ Add-ons ▸ Install from Disk…*. Updates then come from the add-on's own Updates panel.
Open the Optics tab in the 3-D viewport sidebar (press N).
Headless, the same thing from Python:
import optics_api # inside Blender: blender -b --python your.py
optics_api.build_example("michelson") # a full bench in one call optics_api.set_mount("MI_M_fixed", "KM100") # put a mirror on a kinematic mount optics_api.set_dof("MI_M_fixed", "TIP", steps=40) # turn a knob: the beam walks off optics_api.align_element("MI_M_fixed") # and back: 2.51 -> 0.0012 mrad print(optics_api.inspect_beam("MI_D")) # power, w(z), polarization, coherence
examples/ holds runnable scripts: michelson.py, mach_zehnder.py, agent_align.py, bell_entanglement.py, hong_ou_mandel.py.
A mirror knocked 2° out of alignment, then one align_element() call: pointing residual 7.02 → 0.0008 mrad. examples/agent_align.py reproduces it headlessly.
The add-on exposes its full state as JSON over a localhost bridge and ships an MCP server, so an agent can read the bench and act on it:
get_state() → every element's pose, ports, mount limits, beam path, detector readings
↓ decide set_param() · place_relative() · set_dof() · align_element() · ao_close_loop() · render() ↓ the beam re-traces get_state() → read the result, not a guess
Start it from Present ▸ Tools & Integration ▸ Start MCP Bridge. → agent guide · MCP server · tool list
Every push runs the physics: 341 textbook checks (Malus, Fresnel, Snell, the grating equation, Gaussian ABCD, Zernike orthonormality, energy conservation) plus a 618-check regression suite on both Blender 4.2 and 5.x. The core formulas were also verified against an external symbolic and numerical oracle; where that has not been done, the code and the docs say so. Every run builds the same benches in millimetre and metre scenes and requires the readouts to agree.
What is *not* claimed matters as much: this is a chief-ray engine with wave-optics overlays, not a full-wave solver. Thin elements carry no thickness, a grating has no blaze-efficiency model, and anything phenomenological says so where you read it. Model limits are written next to each feature.
→ scope and limits · element-by-element provenance · where the data comes from
| Features, examples, release history | The long version of this page |
| Capabilities | Every panel, API call and MCP tool |
| Optical elements | Per-element model, parameters and provenance |
| Scope | What the engine does and does not simulate |
| Dispersion, cylindrical lenses, spectra | Gratings, white light, group delay, spectrometers |
| Realistic hardware | Mounts, cages, rails and render detail |
| Beam rendering | How baked beams are drawn, and what that is not |
| Data sources | Catalog and material provenance |
| Agent guide · MCP server | Driving the bench from outside |
| CHANGELOG | What changed in each release |
A machine-readable CITATION.cff is included, so GitHub shows a Cite this repository button with ready-to-paste APA / BibTeX.
@software{cobanoglu_blender_optics_simulator,
author = {Çobanoğlu, Muhammet Emir}, title = {Blender Optics Simulator}, year = {2026}, version = {0.31.0}, doi = {10.5281/zenodo.20778997}, license = {GPL-3.0-or-later}, url = {https://github.com/emircbngl/blender-optics-simulator} }
The DOI above is the *concept* DOI and always resolves to the latest version; each release also mints its own version DOI (listed in CITATION.cff).
GPL-3.0-or-later — see LICENSE. Vendor CAD and meshes are not included and remain the property of their owners; this project ships original metadata, procedural geometry and tooling.
Contributors
Built in the spirit of Bigweld's maxim from *Robots* (2005) — "See a need, fill a need."