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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Dare

作者:avi-aggarwal14版本 0.2.0i★ 1i在你的电脑上运行
注册名称io.github.avi-aggarwal14/dare-mcp-server

安装方法

What it does

Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 下载开发者的安装文件

    下载作者的 .mcpb 文件

    .mcpb 文件直接来自开发者,我们没有修改

  2. 双击文件,然后在电脑版 Claude 应用中点击 Install

  3. 试一试

    用 Dare 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Dare,或回答中出现 Dare 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Dare

Dare 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Dare 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

B · 设计、图片与音频 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

Claude Code 暂时无法连接 Dare

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Dare 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

Cursor 暂时无法连接 Dare

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Dare 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

VS Code 暂时无法连接 Dare

开发者只提供了电脑版 Claude 应用的安装文件

你可以改用这些方式

A · 使用能连接 Dare 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Dare 的人💬 讨论 →

一览

每周下载量i
不在 npm/PyPI 上
连接方式
在你的电脑上运行
最新版本i
0.2.0
发布到注册中心i
2026年10月16日
代码最后更新i
2026年10月25日
作者
avi-aggarwal14
软件包
mcpb: …/dare-mcp-server-0.2.0.mcpb
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

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14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 avi-aggarwal14 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于20天前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 3040 个服务器的 78%
  • 发布到注册中心的时间比此分类中其他 3040 个服务器的 50% 更新
  • 基础检查结果等于或优于此分类中其他 3040 个服务器的 100%

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。

常见问题

Dare 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于20天前,最新版本(0.2.0)于29天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。

有什么可以替代它?

同一分类中有:Figma Context MCP, AutoClip, Next AI Draw.io

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 15.2万/周★ 1.6万5个月前更新

在你的电脑上运行

AutoClip

Clip long videos into short clips with covers and captions. Local CLI and MCP.

作者:zhouxiaoka广泛使用↓ 205/周★ 1万17天前更新

在你的电脑上运行

Next AI Draw.io

draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand

作者:DayuanJiang广泛使用↓ 2.2万/周★ 3.7万 整个仓库的星标今天更新

在你的电脑上运行

作者的 README

打开 README

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。

dare-mcp-server

Generate video and images from inside Claude, billed to your own [Dare](https://trydare.com) credits.

Ask Claude for a shot and it makes one — Seedance 2.5, Seedance 2.0, Veo 3.1, Kling 3.0 Pro, Hailuo 2.3 for video, Nano Banana 2, GPT Image 2 and Seedream 5 Pro for stills. No new subscription, no API key to buy: it spends the Dare credits you already have.

> make me a 10 second 720p cinematic shot of rain on a neon Tokyo street, 16:9

Estimated 110 credits (you have 4,280). Generating… Done: https://storage.trydare.com/…/rain-tokyo.mp4

Works with Claude Code, the Claude desktop app, and Cowork.

[!IMPORTANT]

Dare does not publish a developer API. This server talks to the same private endpoint the

Dare web app uses, signed in as you with your own browser session. It works today — every

tool here has been exercised against Dare's live servers, including a generation run to

completion — but Dare can change that contract without notice, and using it may sit outside

Dare's terms of service. Your account, your credits, your call.


Install

You need [Node.js](https://nodejs.org) 20 or newer. Check with node --version; if that errors, install the LTS build from nodejs.org (on a Mac, brew install node also works).

Then run one command in your terminal:

npx dare-mcp-server setup

That is the whole install. The wizard:

  1. shows you where to find your Dare token (four clicks in your browser),
  2. checks it against Dare and prints your credit balance,
  3. saves it to ~/.dare-mcp/config.json with owner-only permissions,
  4. adds Dare to Claude Code and/or the Claude desktop app for you.

Restart Claude when it finishes. In Claude Code, /mcp should now list dare.

npx dare-mcp setup works too — dare-mcp is a short alias that forwards to the same package.

Claude desktop app, no terminal: download dare-mcp-server-0.2.0.mcpb from the mcpb-0.2.0 release, open it, and paste your Dare token when asked. It is also listed on the official MCP Registry as io.github.avi-aggarwal14/dare-mcp-server.

Step 2 in detail: finding your Dare token

The server signs in as you, using the long-lived Clerk __client cookie from your browser. It mints a fresh 60-second session token for every call, exactly as the Dare web app does.

  1. Sign in at https://trydare.com in Chrome, Edge, Arc or Brave.
  2. Open DevTools — Cmd+Option+I on macOS, F12 on Windows and Linux.
  3. Go to the Application tab → Storage → Cookies → https://clerk.trydare.com. (In Firefox and Safari the tab is called Storage instead.)
  4. Find the row named __client and copy its Value — a long string starting eyJ. Copy the value, not the name.
  5. Paste it into the wizard. Your terminal will not echo it back.

The cookie is valid for about a year, so this is a one-time step unless you sign out of Dare.

Treat it like a password. It grants full access to your Dare account and can spend your credits. The wizard keeps it in one file with 0600 permissions and deliberately does *not* write it into your Claude config, so your Claude settings stay safe to sync or share.

Prefer to do it by hand?

Claude Code

claude mcp add dare --scope user -- npx -y dare-mcp-server

Claude desktop app — edit the config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{

"mcpServers": { "dare": { "command": "npx", "args": ["-y", "dare-mcp-server"] } } }

Then quit and reopen the app.

Both of these read your token from ~/.dare-mcp/config.json. If you would rather pass it as an environment variable (CI, containers, a shared machine), set DARE_CLIENT_TOKEN instead — it takes precedence over the stored file. See Configuration.

Running from source

git clone https://github.com/avi-aggarwal14/dare-mcp-server.git

cd dare-mcp-server npm install # builds automatically npm run setup # same wizard

Point Claude at node /absolute/path/to/dare-mcp-server/dist/cli.js instead of npx.

Check it works

npx dare-mcp-server check

Mints a token, reads your balance, lists a few library items. Run it any time the tools start failing — it is the fastest way to tell a stale cookie from a Dare outage.

First things to try

Once Claude has restarted, just ask in plain English:

> how many Dare credits do I have?

what video models can I use, and what do they cost?

make a 5 second clip of a paper boat going down a rain gutter, cinematic, 16:9

use ~/shots/hero.png as a reference and animate the character walking toward camera

what's in my Dare library from this week?

Claude will quote you a credit estimate before spending anything, and you can always ask it to do a dry run first.

Tools

ToolSpends creditsWhat it does
dare_list_modelsnoModels with durations, qualities, aspect ratios, reference limits
dare_estimate_costnoLocal credit estimate before you commit
dare_get_credit_balancenoCurrent balance
dare_generate_videoyesText-to-video, Seedance 2.5 by default; optional reference media. dry_run: true previews the spec and price for free
dare_generate_imageyesStills via Nano Banana 2, GPT Image 2, Seedream 5 Pro. Supports dry_run
dare_get_generationnoPoll status, get the output URL
dare_list_generationsnoPaginated library listing
dare_cancel_generationnoStop an in-flight job
dare_delete_generationnoDelete from the library (destructive)
dare_upload_medianoUpload a reference image/clip/audio, returns a storage_key
dare_list_uploadsnoPreviously uploaded references
dare_delete_uploadnoDelete an uploaded reference (destructive)
dare_list_projectsnoYour Dare projects

CLI

CommandWhat it does
npx dare-mcp-server setupInteractive first-run wizard
npx dare-mcp-server checkVerify credentials, print credit balance
npx dare-mcp-serverStart the MCP server on stdio (Claude runs this for you)
npx dare-mcp-server httpOptional HTTP transport for self-hosting
npx dare-mcp-server --helpEverything above

Configuration

Credentials are read in this order, first hit wins:

  1. DARE_CLIENT_TOKEN in the environment
  2. ~/.dare-mcp/config.json (written by setup)

The stored file is plain JSON, so you can edit it directly:

{

"clientToken": "eyJ...", "maxCreditsPerCall": 500, "uploadRoots": ["/Users/you/Movies", "/Users/you/Pictures"] }

Everything else is environment variables:

VariableDefaultPurpose
DARE_CLIENT_TOKENfrom stored configThe __client cookie from clerk.trydare.com. Required one way or the other.
DARE_CONFIG_DIR~/.dare-mcpWhere the stored config lives.
DARE_MAX_CREDITS_PER_CALL500Refuse any single generation estimated above this many credits. 0 disables.
DARE_UPLOAD_ROOTS— (blocked)Comma-separated directories dare_upload_media may read local files from. Empty means local file reads are refused.
DARE_ALLOW_URL_UPLOADStrueAllow uploading from a public URL. Private and link-local addresses are always refused.
DARE_MAX_UPLOAD_BYTES536870912Largest upload accepted.
DARE_SESSION_TOKEN—A ready-made 60s session JWT. Testing only.
DARE_SESSION_IDautoPin a specific sess_... id instead of auto-detecting.
DARE_REQUEST_TIMEOUT_MS120000Per-request timeout.
DARE_SERVER_URLhttps://api.trydare.comDare RPC base.
DARE_CLERK_FAPI_URLhttps://clerk.trydare.comClerk Frontend API base.

DARE_MAX_CREDITS_PER_CALL is a client-side circuit breaker against a model talking itself into a 10-variation 30-second batch (3,200 credits). The default of 500 allows any single Seedance 2.5 clip while blocking runaway batches; raise it deliberately when you want a batch. The estimate is conservative in the one place it cannot be exact: a video reference whose length Dare cannot report is priced at 30 seconds, which is Dare's own assumption. The guard fails closed: if a reference clip's duration cannot be read, the generation is refused rather than submitted on a guessed estimate.

DARE_UPLOAD_ROOTS is an allowlist, not a convenience. Without it, dare_upload_media refuses local paths entirely — otherwise a prompt-injected model could ask the server to upload your shell environment or Claude config, both of which contain DARE_CLIENT_TOKEN. Point it at the folders that actually hold your source footage.

Credit costs

Dare prices every job as provider cost in dollars, times 1.5, converted at 750 credits per $49.99, rounded up to the nearest 1, 5 or 10 credits. The server reproduces that formula exactly; it was checked against real charges (a 4s 480p Seedance 2.5 clip billed 20 credits, as predicted). Typical figures:

JobCredits
Seedance 2.5, 4s, 480p20
Seedance 2.5, 8s, 720p90
Seedance 2.5, 10s, 720p110
Seedance 2.5, 30s, 480p150
Seedance 2.5, 30s, 720p320
Seedance 2.0 Fast, 5s, 480p15
Seedance 2.0, 15s, 4K530
Veo 3.1, 8s, 1080p80
Kling 3.0 Pro, 5s20
Hailuo 2.3 Pro (fixed 6s)15
Nano Banana 2 image, 2K4
GPT Image 2, 1:15

Attaching a video reference applies a 0.6x multiplier on Seedance models, and on Seedance 2.5 the reference clip's own seconds are billed on top. Image and audio references do not change the price.

Always sanity-check with dare_estimate_cost before a batch.

Reference-driven generation

1. dare_upload_media  { file_path: "/Users/you/shots/hero.png" }

-> storage_key: "uploads/abc123..."

  1. dare_generate_video { prompt: "the character from the reference walks toward camera through fog", reference_storage_keys: ["uploads/abc123..."], duration_seconds: 8 }

Seedance 2.5 takes up to 50 references (30 image, 10 video, 10 audio), each clip 2–30s, 30 combined seconds per kind. With a video reference attached it derives duration and aspect ratio automatically. Seedance 2.0 models take 12 (9/3/3), 15s combined, and need a visual reference alongside any audio one. Veo 3.1 takes up to 3 images and is then fixed at 8 seconds. Kling and Hailuo take no references at all.

Remote HTTP (optional)

A stateless streamable-HTTP entrypoint is included for hosting the server behind a URL:

DARE_CLIENT_TOKEN='eyJ...' \

DARE_MCP_BEARER_TOKEN="$(openssl rand -hex 32)" \ PORT=3000 npx dare-mcp-server http

POST /mcp, health check at /health. The server refuses to start without a bearer token of at least 24 characters, since these tools spend real money. DNS-rebinding protection is on by default and scoped to localhost; widen it with DARE_ALLOWED_HOSTS / DARE_ALLOWED_ORIGINS w

只显示了开头部分;其余内容请在仓库中阅读