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)
MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)
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。
ACEDATACLOUD_API_TOKEN标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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://fish.mcp.acedata.cloud/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"fish": {
"command": "uvx",
"args": [
"mcp-fish"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http fish https://fish.mcp.acedata.cloud/mcpclaude mcp add fish --env ACEDATACLOUD_API_TOKEN=your-value -- uvx mcp-fish运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fish": {
"url": "https://fish.mcp.acedata.cloud/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fish": {
"command": "uvx",
"args": [
"mcp-fish"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-value"
}
}
}
}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": {
"fish": {
"type": "http",
"url": "https://fish.mcp.acedata.cloud/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"fish": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-fish"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-value"
}
}
}
}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://fish.mcp.acedata.cloud/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。
服务器要求先登录,才会列出它的工具。
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7日
注册名称已通过 GitHub 账户 AceDataCloud 验证,该账户拥有此仓库
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
在 1142 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
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 3 项适用的基础检查中通过了 3 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。
你需要填写:ACEDATACLOUD_API_TOKEN
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(2026.11.1.1)于6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。
A Model Context Protocol (MCP) server for Fish Audio TTS (Text-to-Speech) via the AceDataCloud platform. Generate natural-sounding speech and explore the Fish voice model library.
Pass one public HTTPS reference audio URL plus its exact transcript. This conditions only the current TTS request and does not create a reusable voice model:
fish_generate_audio(
text="New speech in the referenced voice", reference_audio_url="https://cdn.acedata.cloud/reference.mp3", reference_text="The exact words spoken in the reference audio", )
Use reference_id for saved or public voices, and the one-shot reference fields for a temporary voice. Do not combine them. Reference audio supports MP3/WAV and should be 10–270 seconds. Billing remains based on the target text's UTF-8 byte count.
Call fish_list_models with self=true to list voices created and saved through AceDataCloud by the calling account, including those created with its other API tokens. This is a list filter, not a privacy setting: saved voices are public and may be searched and used by others. The voice-creation API's visibility input does not make them private or unlisted; this MCP does not expose voice creation.
Use page_size and the 1-based page_number for pagination. With self=true, sort_by supports created_at and task_count, and author_id further filters those saved voices. title_language is only supported for public library queries, not with self=true. The returned has_more is a boolean for account-created voices but may be null for public library queries; use total and page_size for pagination in that case. Pass a returned voice ID as reference_id to fish_generate_audio.
The hosted endpoint is https://fish.mcp.acedata.cloud/mcp. Choose one route for the MCP client:
| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install mcp-fish and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API. |
The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.
Customize → Connectors → Add custom connector, enter https://fish.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.claude mcp add --transport http --scope user fish https://fish.mcp.acedata.cloud/mcp, then claude mcp login fish. Check /mcp. Claude Code MCP guide.https://fish.mcp.acedata.cloud/mcp. For a project, merge the entry below into /.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.https://fish.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use /.mcp.json; the VS Code-specific format below uses /.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.codex mcp add fish --url https://fish.mcp.acedata.cloud/mcp, then codex mcp login fish. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.Cursor project config (OAuth):
{
"mcpServers": { "fish": {"url": "https://fish.mcp.acedata.cloud/mcp"} } }
VS Code-specific workspace config (OAuth):
{
"servers": { "fish": {"type": "http", "url": "https://fish.mcp.acedata.cloud/mcp"} } }
Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.
A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.
For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user fish https://fish.mcp.acedata.cloud/mcp \ --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"
For a Claude Code project config, put a variable reference in /.mcp.json and set that variable in the environment that launches Claude Code:
{
"mcpServers": { "fish": { "type": "http", "url": "https://fish.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"} } } }
Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:
{
"mcpServers": { "fish": { "url": "https://fish.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"} } } }
In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:
{
"inputs": [ {"id": "acedata-fish-token", "type": "promptString", "description": "AceDataCloud API token", "password": true} ], "servers": { "fish": { "type": "http", "url": "https://fish.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${input:acedata-fish-token}"} } } }
For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.
Install the package and give the local process an API token:
python -m pip install mcp-fish
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN' mcp-fish
For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:
{
"mcpServers": { "fish": { "command": "uvx", "args": ["mcp-fish"], "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"} } } }
Keep this user-level file private. Self-hosted HTTP uses mcp-fish --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.
https://fish.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.fish_get_usage_guide is a reference tool; it does not verify downstream API access or balance.fish_generate_audio with your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, call fish_get_task on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A
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