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 Google Play data: app details, search, charts, reviews, permissions, data safety
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
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
claude mcp add gpscrape -- docker run -i --rm ghcr.io/kryuchenko/gpscrape-mcp:0.1.1Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gpscrape": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/kryuchenko/gpscrape-mcp:0.1.1"
]
}
}
}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": {
"gpscrape": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/kryuchenko/gpscrape-mcp:0.1.1"
]
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
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 8, 2026
The registry name was verified with the GitHub account kryuchenko, 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 (0.1.1) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB, Docker 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 MCP server that gives AI agents read-only access to public Google Play Store data: app details, search, charts, reviews, similar apps, developer listings, permissions, data safety, search suggestions and per-country availability.
It works with any MCP client. Claude Code, Codex CLI and OpenCode start it as a local process over stdio. ChatGPT, the OpenAI API and other remote clients reach it over Streamable HTTP.
This is a separate Go module, so the root library keeps its zero-dependency guarantee. The long sweeps (the sitemap catalog, every review of an app) are left out on purpose and stay in the gpscrape command. The server tells the agent so, in its instructions and again in the play_get_reviews tool description (some clients, such as claude.ai and the OpenAI Agents SDK, do not pass instructions to the model). An agent that can run shell commands is pointed at gpscrape for bulk jobs if it is already installed. If it is not, the agent pages with the tools or tells the user the job needs the CLI, and it is told to ask the user before installing it. The instructions open with the untrusted-data warning and stay short; every tool description stays under 1000 bytes, where Codex cuts them for servers installed as plugins.
go install github.com/kryuchenko/google-play-scraper/mcp/cmd/gpscrape-mcp@latest
Requires Go 1.27. Without Go:
mcp-v* release (the Go module tag is mcp/v*; the release uses a tag without the slash, which the MCP Registry requires in download URLs).gpscrape-mcp.mcpb on the same release installs in one step in clients that take MCP bundles, such as Claude Desktop. It carries macOS (universal), Linux (amd64 and arm64) and Windows (amd64) binaries.docker run -i --rm ghcr.io/kryuchenko/gpscrape-mcp speaks stdio; for HTTP, docker run --rm -p 8080:8080 -e GPSCRAPE_MCP_TOKEN= ghcr.io/kryuchenko/gpscrape-mcp -http 0.0.0.0:8080.io.github.kryuchenko/gpscrape, so clients that browse the registry can find it.Every release file and the image carry signed build provenance. Check a download before running it:
gh attestation verify gpscrape-mcp.mcpb --repo kryuchenko/google-play-scraper
gh attestation verify oci://ghcr.io/kryuchenko/gpscrape-mcp: --repo kryuchenko/google-play-scraper
For agents that also have a shell, the gpscrape skill explains when to reach for the CLI instead of these tools.
Claude Code
claude mcp add gpscrape -- gpscrape-mcp
Codex CLI: ~/.codex/config.toml
[mcp_servers.gpscrape]
command = "gpscrape-mcp"
OpenCode: ~/.config/opencode/opencode.json or opencode.json in a project
{
"$schema": "https://opencode.ai/config.json", "mcp": { "gpscrape": { "type": "local", "command": ["gpscrape-mcp"], "enabled": true } } }
Over HTTP: for clients that cannot start a local process
gpscrape-mcp -http 127.0.0.1:8080 # this machine only, no token
GPSCRAPE_MCP_TOKEN=$(openssl rand -hex 32) \ gpscrape-mcp -http :8080 # any interface, token required
The endpoint is http:// :8080/mcp. Clients send Authorization: Bearer . GET /healthz answers ok for probes. The server will not bind a non-loopback address without a token. Put TLS in front of it (nginx, Caddy) before exposing it to the internet. Without a token the server refuses requests whose Host is not local (DNS-rebinding protection), so a reverse proxy that forwards the public Host needs a token set. Every method rejects an invalid Origin with 403, even if Fetch Metadata claims the request is same-origin. Native clients can omit Origin; browser origins must be HTTP(S) and match the request's public Host.
HTTP is sessionless: no Mcp-Session-Id is issued, and GET/DELETE return 405. Protocol 2026-07-28 requests stop upstream work when their HTTP request is cancelled. Legacy HTTP clients' cancellation notifications cannot reach work running in a different request's temporary session; the per-call timeout still bounds that work. Stdio cancellation uses the persistent connection.
Give the token in $GPSCRAPE_MCP_TOKEN or in a file with -token-file (a Docker or systemd secret, for instance). There is no -token flag: a secret on the command line is visible to every user of the machine in ps.
ChatGPT cannot start a local process and cannot send a token: its custom apps take OAuth or nothing. Host the server yourself (a VPS, or your own machine behind a tunnel such as Cloudflare Tunnel) with HTTPS in front, start it with -secret-path, and give ChatGPT the token as the last part of the URL:
https://play-mcp.example.com/mcp/<GPSCRAPE_MCP_TOKEN>
Add it in ChatGPT as a custom app (developer mode) with No authentication: the secret path is the password. It is off unless -secret-path is given, because a token in a URL ends up in proxy logs and browser history; any path under /mcp/ answers 404 without it, and so does a wrong token with it. Use a long random token (openssl rand -hex 32); the server warns when it is shorter than 24 characters. Keep your proxy from logging request paths, and rotate the token if the URL leaks. Requests to Google Play then come from the host's IP, and Google rate-limits data-centre addresses sooner than a home one.
Remote clients that can set a header point at the URL:
# Codex
[mcp_servers.gpscrape] url = "https://play-mcp.example.com/mcp" bearer_token_env_var = "GPSCRAPE_MCP_TOKEN"
// OpenCode
"gpscrape": { "type": "remote", "url": "https://play-mcp.example.com/mcp", "headers": { "Authorization": "Bearer {env:GPSCRAPE_MCP_TOKEN}" } }
| Tool | What it returns | Default / max |
|---|---|---|
play_search_apps | apps matching keywords, with package ids | 20 / 50 |
play_get_app | one app's store page, including whether it can be installed in that country; response_format: detailed adds description, histogram, developer contacts | — |
play_get_apps | concise details for several package ids in one request | up to 20 ids |
play_get_chart | a chart: top_free, top_paid, grossing, new_free, new_paid, movers_shakers | 50 / 200 |
play_get_reviews | one page of reviews; next_token for the next page; filter by star rating | 20 / 100 |
play_get_similar_apps | apps the store lists as similar | 20 / 100 |
play_get_developer_apps | apps by one developer | 20 / 100 |
play_get_permissions | Android permissions, grouped | — |
play_get_data_safety | declared data collection, sharing and security practices | — |
play_suggest_queries | autocomplete suggestions for a query | — |
play_list_categories | category ids accepted by play_get_chart | — |
play_check_availability | per country: available, region_locked (listed, not installable) or not_listed | up to 50 countries |
Tools take lang and country (default en, us), with three exceptions: play_get_reviews takes only lang, play_check_availability takes a list of countries, and play_list_categories takes nothing. An unknown country code or a malformed language code is an error, because the store would silently answer with its defaults. In play_get_reviews, lang selects the language group of the reviews (Google's grouping, so a few may be in other languages); reviews are the same in every country. Prices, charts and installability depend on country.
play_search_apps, play_get_chart, play_get_similar_apps and play_get_developer_apps fetch full details for their results (one extra batched request per 32 apps), because the store's result rows carry no developer id, and outside charts no price.
play_ + verb + object, as Anthropic's tool guidance (namespacing) and OpenAI's (action-oriented names) both ask; the prefix also keeps them apart from another store's tools in one session.play_get_reviews cuts each text to 400 characters unless you ask for detailed, and says how many it returned, which filters applied and whether anything was cut.minimum/maximum, enum and array lengths, so a client can check an argument before calling; an omitted number takes its default, an explicit 0 is out of range. Every tool also publishes an output schema, as OpenAI's MCP guidance asks for structured results, and the server validates each result against it before sending. That roughly doubles tools/list (about 17.5 KB, from 9.8 KB); clients with tool search load definitions on demand and pay it only for the tools they use. Results come back as structuredContent and as the same JSON in content, because some clients (the OpenAI Agents SDK by default) show the model only content.app_id takes a package id or a store link with ?id=.records, and gpscrape writes the same objects one per line, with the same error codes. A filter or parser written against one works on the other; records/testdata/fields.txt pins the field names.untrusted_*, and the server's instructions tell the agent to treat them as data, not instructions.code: what to do. A name instead of a package id points to play_search_apps; an unknown category points to play_list_categories before any request is made; a 404 says to check the id or the country; a block says to wait; a bug that panics returns an error instead of ending the session. The codes:| Code | Meaning | Retry? |
|---|---|---|
invalid_argument | fix the arguments | no |
not_found | no such app or page in this storefront | another id or country |
not_listed | the store returned nothing for this id here | once, then check the id |
rate_limited | the store is refusing this server for now | after a few minutes |
timeout | the store did not answer in time | once |
busy | this server is at capacity | shortly |
cancelled | the client cancelled the call | — |
store_error | any other failure talking to the store | once |
internal | a bug in gpscrape-mcp | no; report it |
Arguments that break the input schema are rejected by the MCP SDK before the tool runs; those errors start with validating "arguments".
Retry-After. Tool calls run at most -max-concurrent at once, at most four times that many wait for a slot, and any further call is refused at once as busy. String arguments have a maximum length in the schema. play_check_availability gets twice the -timeout.play_check_availability makes one store request per country and can take two minutes for fifty. A client that sends a progressToken gets a notification per country over stdio (the stateless HTTP transport answers with one JSON body and has no stream to send them on).tools/list and server/discover say ttlMs of an hour: the tooOnly the beginning is shown; read the rest in the repo