Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Visual search for memes, infographics and charts — by meaning, OCR text, or image similarity.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://mcp.memestack.ai/mcpターミナルでこれを実行します
claude mcp add --transport http memestack https://mcp.memestack.ai/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"memestack": {
"url": "https://mcp.memestack.ai/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"memestack": {
"type": "http",
"url": "https://mcp.memestack.ai/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://mcp.memestack.ai/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
search_imagesSearch memes, reaction images, charts, graphs, infographics and screenshots by meaning or keywords - the general image search. Semantic and keyword matching run together and merge. Returns each image with its caption, tags, image and page URLs and a ready citation (source, licenc
search_chartsSearch charts, graphs, maps and infographics with their source data: the dataset and its citation, the unit, the regions plotted and the period the chart actually shows. Two kinds of stored metadata: charts from Our World in Data and three statistical publishers (provenance 'auth
get_imageGet one image's full record by ID - a meme, chart, infographic or screenshot: caption, alt text, tags, the words printed in it (OCR text), its source and licence (rights), a ready citation and URLs. For a chart that is part of a series, chart.series lists every edition (other yea
get_receiptsGet the receipts for one image by ID - where it came from (who added it and when, the credit printed on it, its publisher and versions), what it claims about the world (each checkable claim restated neutrally, with the source the image itself names), and what the data says (chart
find_similarFind images that look like a MemeStack image, by its ID - the same meme, chart or screenshot, its crops and edits (perceptual-hash matching), each with a ready citation. For an image that is not on MemeStack, use reverse_image_search. Results exclude images classified controversi
search_text_in_imageFind screenshots, memes and other images by the exact words printed in them (OCR text): a quote, a caption, a sign, a watermark. Matches only the text in the image (the text_in_image field), not captions or tags, and returns strong matches only, each with a ready citation. Result
find_meme_for_textFind a meme or reaction image for an idea, a mood or a sentence, ready to paste with its citation. Use it when writing a post, an article or a reply and you need a meme to make the point. Returns only images tagged as memes (the gallery's Memes filter), so it may come back empty
cite_imageGet ready-to-paste citations for one or more MemeStack images (memes, charts, screenshots): markdown, HTML and plain text naming the source and licence, plus a combined block for citing several images at once. Up to 50 ids per call.
reverse_image_searchFind a meme, chart or screenshot on MemeStack from a copy of the image - to name a meme or find where an image came from: give an HTTPS image URL, or a `data:image/...;base64,...` URL for bytes pasted into the conversation, and get the same or visually similar images with their s
submit_imageSubmit an image to the MemeStack review queue. Paid tool - $0.10 per submission, paid in sats over Lightning at the current BTC/USD rate or in USDC on Base via the agent payment rails (x402/L402); no account or API key. IMPORTANT: there is NO refund if moderation rejects the subm
generate_memeGenerate a new image from a text prompt using AI (Grok Imagine). Paid tool - billed per call via the agent payment rails (x402/L402); not covered by any free quota. Generation runs asynchronously on the server and this call polls until it completes, up to ~90 seconds. If you get
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリ名はドメイン memestack.ai で確認済みです(レジストリがドメインの所有を確認しています)
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
186ミリ秒で応答(HTTP 200)
サインイン不要
11件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(1.6.0)がレジストリに届いたのは12 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Hosted Model Context Protocol server for MemeStack — a visual search engine for memes, infographics, charts, screenshots, and diagrams. Find images by meaning, by the OCR text printed inside them, or by visual similarity. AI-captioned, Lightning-ranked. Public, no auth, no signup — reads are free with daily quotas, generation is paid per call.
https://mcp.memestack.ai/mcp
Every list response returns citation blocks (markdown / HTML / plain) ready to paste with attribution. Image bytes are served from https://api.memestack.ai/v1/images/{id}/{thumbnail|canonical|social-card} — directly embeddable.
This is a hosted server. No clone, no build, no local environment. Point any MCP-aware client at the endpoint. Every snippet below was checked against the client's own documentation on 2026-10-11; the current list, with a link to each client's docs, is on memestack.ai/mcp-server.
claude mcp add --transport http memestack https://mcp.memestack.ai/mcp
Or in a project .mcp.json — a remote server needs "type": "http":
{
"mcpServers": { "memestack": { "type": "http", "url": "https://mcp.memestack.ai/mcp" } } }
This repo is also a Claude Code plugin marketplace. The plugin installs the same server plus a find-image skill that tells Claude which tool answers which request and to keep the citation:
/plugin marketplace add Ed-Relight/memestack-mcp
/plugin install memestack@memestack
From a shell: claude plugin marketplace add Ed-Relight/memestack-mcp then claude plugin install memestack@memestack. If you also use the claude.ai connector, Claude Code lists the tools twice (one copy per server); either one is enough.
Add MemeStack from the Connectors Directory, or as a custom connector: Customize → Connectors → + Add → Add custom connector with the directory endpoint https://mcp.memestack.ai/mcp/directory (see Chat apps below). Every plan can; a Free account can add one custom connector.
Claude Desktop's claude_desktop_config.json takes local servers only. To use the full /mcp endpoint there, bridge it with mcp-remote:
{
"mcpServers": { "memestack": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.memestack.ai/mcp"] } } }
One click opens Cursor's install prompt (Cursor's install links). This repo is also a Cursor plugin (.cursor-plugin/plugin.json + mcp.json, with the find-image skill). Or edit ~/.cursor/mcp.json (or per-project .cursor/mcp.json):
{
"mcpServers": { "memestack": { "url": "https://mcp.memestack.ai/mcp" } } }
One click: the Add to VS Code link on memestack.ai/mcp-server (a vscode:mcp/install link, which GitHub does not render). Or .mcp.json at the workspace root, or ~/.copilot/mcp-config.json for every workspace (the older .vscode/mcp.json with "servers" still loads, but VS Code now calls it deprecated):
{
"mcpServers": { "memestack": { "type": "http", "url": "https://mcp.memestack.ai/mcp" } } }
devin mcp add memestack https://mcp.memestack.ai/mcp
gemini extensions install https://github.com/Ed-Relight/memestack-mcp
The extension manifest (gemini-extension.json) points Gemini CLI at the hosted endpoint over Streamable HTTP (httpUrl). Without the extension:
gemini mcp add --transport http memestack https://mcp.memestack.ai/mcp
That writes .gemini/settings.json in the project; add --scope user for ~/.gemini/settings.json.
codex mcp add memestack --url https://mcp.memestack.ai/mcp
Or in ~/.codex/config.toml (shared with the ChatGPT desktop app and the Codex IDE extension):
[mcp_servers.memestack]
url = "https://mcp.memestack.ai/mcp"
In Cline's MCP settings (cline_mcp_settings.json), add the server with the camelCase streamableHttp type — without it Cline falls back to SSE and the endpoint answers 405:
{
"mcpServers": { "memestack": { "type": "streamableHttp", "url": "https://mcp.memestack.ai/mcp", "disabled": false, "autoApprove": [] } } }
The Remote Servers tab does the same (Transport "Streamable HTTP"), and so does the Cline CLI:
cline mcp add memestack https://mcp.memestack.ai/mcp --transport http --yes
In Zed's settings (zed: open settings file), or Settings → AI → MCP Servers → Add Remote Server:
{
"context_servers": { "memestack": { "url": "https://mcp.memestack.ai/mcp" } } }
goose configure → Add Extension → Remote Extension (Streamable HTTP), or in ~/.config/goose/config.yaml (Windows: %APPDATA%\Block\goose\config\config.yaml):
extensions:
memestack: type: streamable_http name: memestack enabled: true uri: "https://mcp.memestack.ai/mcp" headers: {} env_keys: [] envs: {} timeout: 300
LM Studio 0.3.17 or later: Program tab → Install → Edit mcp.json:
{
"mcpServers": { "memestack": { "url": "https://mcp.memestack.ai/mcp" } } }
Create .continue/mcpServers/memestack.yaml (MCP tools work in agent mode):
name: MemeStack
version: 0.0.1 schema: v1 mcpServers:
Bridge the endpoint with mcp-remote:
{
"mcpServers": { "memestack": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.memestack.ai/mcp"] } } }
curl -X POST https://mcp.memestack.ai/mcp \
-H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Same endpoint for initialize, tools/call, prompts/list, prompts/get, resources/list, resources/read. Protocol version: 2025-06-18.
Chat apps get a second endpoint built for their connector directories:
https://mcp.memestack.ai/mcp/directory
It lists 18 read tools (every read tool except get_leaderboard, which still answers by name) — no paid tools, no payment offers, no daily quota — and its results never include images classified controversial (the include_controversial argument does not exist there; a by-id lookup of such an image answers "not found"). Resources and citations are the same as on /mcp; prompts/list there shows five prompts — every one but top_zapped, whose tool it does not list (it still answers prompts/get by name). Add it by URL as a custom connector (Streamable HTTP, no authentication). Tool calls are rate-limited per minute; over the limit a call answers "Too many requests from this client" — wait a minute and retry. In ChatGPT (and other MCP Apps hosts) image results appear as a carousel of image cards.
Where each app keeps the setting (checked 2026-10-11):
tools/list shows a core set by default — search_images, search_text_in_image, search_charts, find_meme_for_text, reverse_image_search, find_similar, get_image, get_receipts, cite_image, plus the two paid tools; every tool still answers by name. In all: 20 free reads (8 of them with a daily quota, then a fraction of a cent per call — see Pricing & payments), 2 always paid (generate_meme, submit_image) — full catalog: docs/tools.mdprompts/list shows a prompt only while every tool it uses is listed, so by default it shows three — search_memes, cite_this_meme, find_a_meme_for_vibe; the other three still answer prompts/get by name: docs/prompts.mdmemestack://top/{period} template (top zapped images): docs/resources.mdDiscovery and search:
search_images — semantic + keyword mergedsearch_charts — charts/infographics with stored source metadata (dataset, citation, unit, regions, displayed period); not every chart — search_images has wider chart coverage. publisher_only: true (here and on search_images) keeps only charts imported from Our World in Data, USDA ERS, Eurostat or the EEAsearch_text_in_image — OCR-only search (find screenshots of specific quotes/text)find_meme_for_text — vibe-to-meme matcher for writing & social (only images tagged as memes, so it may come back empty; search_images covers every kind of image)reverse_image_search — phash-based "find this image" (accepts HTTPS or data: URLs)find_similar / find_related — neighbors of a known image (visual phash / semantic embedding)browse_images, browse_by_tag, browse_by_category, list_categoriespopular_tags, tag_autocomplete, get_tag_profileget_image, get_user_profile, get_leaderboard, get_meme_variantsget_receipts — where an image came from, the claims it makes, and publisher charts that measure the same thing (no verdict)Honest search results (rolling out — the server labels results only while its honest-search switch is on): when results carry match, search_images, search_charts, search_text_in_image and find_meme_for_text label each one "strong" (MemeStack has evidence it matches your query) or "closest" (the nearest thing it has). Strong results come first; closest ones are capped and marked [closest match] in the text view. The first page starts with a note when nothing matched strongly, and has_more says whether another page exists (total counts strong matches only). Without labels there is no match, note or has_more: a page shorter than limit is the last. With labels, match_quality sums the search up: strong (it has a strong match), closest_only (every result is only the nearest guess — do not present one as the answer) or none.
Reuse rights: every image carries rights — source (publisher / creator / community), the licence and its URL, the cred
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