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)
Read-only AI video prices, clip costs, and deals from VidFare.
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
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Works in Claude on the web, desktop and mobile:
https://mcp.vidfare.com/mcpRun this in your terminal
claude mcp add --transport http vidfare https://mcp.vidfare.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"vidfare": {
"url": "https://mcp.vidfare.com/mcp"
}
}
}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": {
"vidfare": {
"type": "http",
"url": "https://mcp.vidfare.com/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://mcp.vidfare.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
list_modelsList the AI video models VidFare tracks, with the cheapest current dollars per second for each.
get_model_pricesList current VidFare prices for one model. provider and resolution are optional filters. Prices the catalog does not contain are omitted rather than guessed.
estimate_costCost of one clip from the VidFare calculator. Credit-plan rows use plan price ÷ credits × credits per clip, then the percent of credits used. API rows are billed seconds times the stated dollars per second. A length, resolution, audio value, or input the vendor page does not stat
cheapest_optionsCheapest stated VidFare price for a clip length and resolution, overall and per model. Rows the vendor does not state for that length or resolution are omitted.
list_dealsList VidFare deals copied from vendor pages and official accounts. status is live, upcoming, ended, or all. Defaults to live. An end date is included only when the source stated one.
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 6, 2026
The publisher (vidfare.com) is not the repo owner (SheepinBoots); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 369 ms (HTTP 200)
No sign-in needed
Read 5 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
Public, read-only Model Context Protocol server for the VidFare price catalog. It speaks Streamable HTTP at /mcp, with no authentication. A client such as ChatGPT, Claude, or Cursor can list models, read prices, estimate a clip, and list deals. Every result includes the VidFare source URL, the last-checked date, and a vidfare.com page link. Those vidfare.com links also carry utm_source=mcp&utm_medium=tool&utm_campaign=vidfare_mcp.
The Worker is live at https://mcp.vidfare.com/mcp. Do not run wrangler login or wrangler deploy from this repository.
The Worker fetches only:
https://vidfare.com/data/prices.jsonhttps://vidfare.com/deals.json (the same JSON is also published at /data/deals.json)Responses are cached for 5 minutes. If a fetch fails, or the catalog does not state a price for the request, the tool says so and does not fill in a number.
| Tool | Arguments |
|---|---|
list_models | none |
get_model_prices | model (required), provider, resolution |
estimate_cost | model, seconds (required). Optional: resolution, audio (with, without, on, off), input (t2v, i2v, ref2v, v2v, extend, lip-sync), plan, provider, used (1–100, default 100), apply_deals (default false), window_seconds (default 60) |
cheapest_options | seconds, resolution (both required). Optional: audio, input, used, apply_deals |
list_deals | status: live (default), upcoming, ended, or all |
estimate_cost uses the same row filter as the credit calculator (scripts/variations.py) and the same plan math as the calculator script: plan price ÷ credits × credits per clip, divided again by the share of credits actually used. API rows are billed seconds times the stated dollars per second. scripts/test_mcp_parity.py checks that against the site code.
A tools/call writes one Workers Analytics Engine point: blob1 is the tool name (unknown if it is not one of the five tools), blob2 is success or error, and double1 is 1. The engine stores the time. The UTC day is that timestamp. The read script also prints when that UTC midnight falls in Pacific Time. Nothing else is stored: no arguments, prompt, IP address, user agent, session id, or country. There is no public stats URL.
Counts are tool requests, not unique people, visits, or sponsor impressions. A retry, a second call from the same person, and a client that does not send the test header each add one. Requests with X-VidFare-Test: 1, and POSTs to localhost or 127.0.0.1 (wrangler dev), are not written. initialize, tools/list, notifications, OPTIONS, and GET are not written. A crawler or someone else's test client that calls a tool is counted.
The write is not awaited and a failure is ignored, so a counter error does not change the tool response.
wrangler.jsonc binds USAGE to the dataset vidfare_mcp_usage. The dataset is created on the first write. Deploying that binding uses the existing Worker deploy token (Workers Scripts Edit or Workers Admin, Workers Routes Edit, and Zone Read). It does not need Analytics Read. Reading the counts does. Create a separate token with Account → Account Analytics → Read, scoped to the VidFare account, and run:
CLOUDFLARE_ACCOUNT_ID=... CLOUDFLARE_API_TOKEN=... python3 scripts/mcp_usage.py
Do not put that token in the repo.
cd mcp-server
npm install npm test npx wrangler dev
wrangler dev stays on this machine. It does not deploy.
Cursor can use mcp-server/.mcp.json. Put the same JSON in a project's .cursor/mcp.json. The URL is https://mcp.vidfare.com/mcp.
server.json is the MCP Registry document. The name is com.vidfare/vidfare. The remote is streamable-http at https://mcp.vidfare.com/mcp.
Namespace verification for com.vidfare is HTTP. The site serves the published proof record at https://vidfare.com/.well-known/mcp-registry-auth. The file is one line, v=MCPv1; k=ed25519; p= . The private key is not in this repo.
The site build copies the file into dist/.well-known/ and writes dist/.nojekyll. actions/upload-pages-artifact leaves dot paths out unless include-hidden-files is true. Both deploy workflows set that, so the URL answers 200 with no redirect.
Token, one Cloudflare account (the account that owns vidfare.com) and one zone (vidfare.com only):
| Scope | Permission | Why |
|---|---|---|
| Account, Workers product | Workers Admin | The first wrangler deploy creates the Worker. A token that can only edit an existing Worker cannot create this one. In the legacy token form this permission is still labeled Account → Workers Scripts → Edit; that legacy permission also creates scripts. If the new role picker is shown, choose Workers Admin on the Workers product, not Editor. |
Zone vidfare.com | Workers Routes → Edit | Attaches the custom domain mcp.vidfare.com. Current docs call this Workers Routes Write. |
Zone vidfare.com | Zone → Read | Wrangler looks up the zone id for vidfare.com. |
Do not add Workers KV, R2, Tail, Account Settings, DNS, or user membership permissions. The Worker has no bindings.
DNS record on vidfare.com, created in the dashboard (the token above does not edit DNS):
| Type | Name | Content | Proxy |
|---|---|---|---|
| AAAA | mcp | 100:: | Proxied |
That is the proxied hostname a Worker custom domain uses. wrangler.jsonc sets the route to custom domain mcp.vidfare.com. After the record exists, npx wrangler deploy from this directory publishes the Worker. It still needs CLOUDFLARE_API_TOKEN in the environment, not in the repo.