Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Visual search for memes, infographics and charts — by meaning, OCR text, or image similarity.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.memestack.ai/mcp在终端中运行这条命令
claude mcp add --transport http memestack https://mcp.memestack.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"memestack": {
"url": "https://mcp.memestack.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"memestack": {
"type": "http",
"url": "https://mcp.memestack.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.memestack.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 memestack.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.6.0)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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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