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)
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
You need
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"harness": {
"command": "npx",
"args": [
"-y",
"@autonomous-ai/harness-mcp"
]
}
}
}Run this in your terminal
claude mcp add harness -- npx -y @autonomous-ai/harness-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"harness": {
"command": "npx",
"args": [
"-y",
"@autonomous-ai/harness-mcp"
]
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"harness": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@autonomous-ai/harness-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 5, 2026
The registry name was verified against the domain harness.autonomous.ai (the registry checks domain ownership)
Code last changed today
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
It passed 3 of 3 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 today, and the latest version (0.4.20) reached the registry 17 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB 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.
Harness like a boss.
The ultimate harness for coding agents and beyond.
Claude Code at work. Codex at home. Hermes in the cloud. One command center.
Start with code. Then follow your curiosity and build across disciplines: CAD, circuits, robots, games and music.
Download · How it works · Beyond code · Harnesses · Device
Claude Code, Codex, Cursor, OpenCode, Devin, Amp, Copilot and seven more.
Your laptop, home server and GPU box in one window. Link each one with a password. No SSH keys. No Tailscale. No port forwarding.
⌘P finds any harness on any machine. ⇧⌘I jumps to the harness waiting on you. ⌘D splits. Every key remaps.
Code, keys and keystrokes are sealed on your machine. The relay forwards bytes it can't read.
A native app, not Electron. Close it and your agents keep working.
Idle measurements on an M2 Max:
Desktop results use a Release fixture with 16 terminals and 1,000 scrollback lines each. See the workflow and resource benchmarks and remote P2P, TURN and relay results for workloads, slow tails, connection failures and raw data.
In the workspace, a harness is one running session of an agent such as Codex or Claude Code, with its own conversation and working context. A tab groups harnesses. Use New Harness to start one and New Tab to group work. Harnesses in the same tab can message each other with harness send: Agent Messages, an experiment of your account, off by default and turned on in Settings ▸ Experimental.
The Store offers harnesses with instructions, tools, and optional viewers for specific crafts. Install a harness, then start it in your workspace. See the Naming System for the complete naming rules.
One daemon per machine runs your agents in tmux. It dials out, so no machine opens a port.
flowchart LR
subgraph laptop["Your laptop"] app["Harness app"] -- loopback --> d1["daemon"] d1 --> a1["tmux · Claude Code · Codex"] end subgraph box["Your GPU box"] d2["daemon"] --> a2["tmux · OpenCode · Hermes"] end device["Harness device"] -- USB --> d1 d1 <-. "direct WebRTC" .-> d2 d1 <-- "ciphertext" --> relay["Harness relay · no keys"] relay <-- "ciphertext" --> d2
Every path is sealed end to end: ChaCha20-Poly1305, X25519 session keys, pinned Ed25519 identities. Harness picks the best path on its own.
Direct. A WebRTC channel between your machines. No server in the path.
Through Cloudflare. When a firewall blocks the direct path, the same encrypted channel runs over Cloudflare's TURN network. Harness keeps trying for a direct path.
Through our relay. A fallback while WebRTC negotiates. The relay holds no keys and forwards ciphertext.
The architecture guide has the details.
[Download the app](https://harness.autonomous.ai/desktop?utm_source=github&utm_medium=readme) for macOS or Linux.
Add a machine. Run this on it, then Machines → Link Machine in the app:
curl -fsSL https://harness.autonomous.ai/cli/install.sh | bash
harness login harness remote-password set harness start
In a terminal: the same line installs hn — tmux's keys and your ~/.tmux.conf, with every harness on every machine (hn). The first time, hn signs in and connects the computer:
curl -fsSL https://harness.autonomous.ai/cli/install.sh | bash
hn
For agents: Claude Code and Codex can start, wait for and read other harnesses with the harness skill (harness.autonomous.ai/agents, which has the Codex lines too):
claude plugin marketplace add autonomous-ai/openharness --sparse .claude-plugin plugins
claude plugin install harness@openharness
Build from source
Needs Node.js 20+, tmux, Xcode and Flutter 3.47+ / Dart 3.13+:
git clone https://github.com/autonomous-ai/openharness.git
cd openharness (cd cli && npm ci) make install-cli cd desktop flutter config --enable-swift-package-manager flutter pub get flutter run -d macos
make install-cli installs this checkout's CLI and restarts the local daemon. See the development guide.
“World-class entrepreneurs are polymaths.” — Peter Thiel
Coding agents can build far more than software. Give one a harness and it works with the real tools of a craft. You steer in a live viewer. Every clip below is a real session.
[Blender](store/agents/blender/). Ask for a lamp and the sliders that matter. Turn them and Blender rebuilds the geometry. Keep the versions you love.
[CircuitJS](store/agents/circuitjs/). Build a filter. Change one resistor. Overlay the new trace, measure the difference and keep both.
[MuJoCo](store/agents/mujoco/). Pin a moment in a robot's run. Shove it with 100 N. Watch two futures split.
[Godogen](store/agents/godogen/). Your agent makes a playable game. Miss a jump, rewind, try again. Pin the moment so the agent sees what you mean.
[Strudel](store/agents/strudel/). The track is code you can perform. Bring voices in and out, mark the good parts, keep the WAV. Hear it.
[RDKit](store/agents/rdkit/). Turn a bond and watch the molecule move. Follow the real energy curve. Keep the pose worth a closer look.
[Typst](store/agents/typst/). Your agent writes a real PDF. Circle a detail, quote a line, leave a note. The next draft answers it.
Code is the common medium. Geometry scripts make parts. Netlists make boards. Animation code makes film.
A domain-specific harness turns a coding agent into a specialist. It brings the craft's instructions and skills, a pinned toolchain, a project template, checks and a live viewer. You chat on one side. The board, the part or the game takes shape on the other.
The agent does the reasoning. The harness supplies the tools and the view. It's a folder with a harness.json, so adding a craft never touches the app.
| Engineering | Autonomous Circuit, CircuitJS