VidFare

Name: VidFare
Author: SheepinBoots

作者：SheepinBoots版本 1.0.0i★ –i在云端运行

注册名称com.vidfare/vidfare

安装

概览

作者提供的说明（英文原文）

Read-only AI video prices, clip costs, and deals from VidFare.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 2 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 2 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 5 件事（工具） list_models, get_model_prices, estimate_cost, cheapest_options …
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://mcp.vidfare.com/mcp

在终端中运行这条命令

claude mcp add --transport http vidfare https://mcp.vidfare.com/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "vidfare": {
      "url": "https://mcp.vidfare.com/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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "vidfare": {
      "type": "http",
      "url": "https://mcp.vidfare.com/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：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://mcp.vidfare.com/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。

它能做什么

工具名称和描述与服务器在 2026年11月6日报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

list_models
List the AI video models VidFare tracks, with the cheapest current dollars per second for each.
get_model_prices
List current VidFare prices for one model. provider and resolution are optional filters. Prices the catalog does not contain are omitted rather than guessed.
estimate_cost
Cost of one clip from the VidFare calculator. Credit-plan rows use plan price ÷ credits × credits per clip, then the percent of credits used. API rows are billed seconds times the stated dollars per second. A length, resolution, audio value, or input the vendor page does not stat
cheapest_options
Cheapest stated VidFare price for a clip length and resolution, overall and per model. Rows the vendor does not state for that length or resolution are omitted.
list_deals
List VidFare deals copied from vendor pages and official accounts. status is live, upcoming, ended, or all. Defaults to live. An end date is included only when the source stated one.

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6日

! 注意
作者与仓库一致
发布者（vidfare.com）不是仓库所有者（SheepinBoots）；可能是其他人代为上架的
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 369 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 5 个工具描述，未发现针对 AI 的隐藏指令

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 2171 个服务器的 0%
发布到注册中心的时间比此分类中其他 2171 个服务器的 97% 更新
基础检查结果等于或优于此分类中其他 2171 个服务器的 43%

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

VidFare 安全吗？

它在 3 项适用的基础检查中通过了 2 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。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.0）于昨天进入注册中心。

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。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。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ 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

作者：GLips

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

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

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。

VidFare MCP server

Public, read-only Model Context Protocol server for the VidFare price catalog. It speaks Streamable HTTP at /mcp, with no authentication. A client such as ChatGPT, Claude, or Cursor can list models, read prices, estimate a clip, and list deals. Every result includes the VidFare source URL, the last-checked date, and a vidfare.com page link. Those vidfare.com links also carry utm_source=mcp&utm_medium=tool&utm_campaign=vidfare_mcp.

The Worker is live at https://mcp.vidfare.com/mcp. Do not run wrangler login or wrangler deploy from this repository.

Data

The Worker fetches only:

https://vidfare.com/data/prices.json
https://vidfare.com/deals.json (the same JSON is also published at /data/deals.json)

Responses are cached for 5 minutes. If a fetch fails, or the catalog does not state a price for the request, the tool says so and does not fill in a number.

Tools

Tool	Arguments
`list_models`	none
`get_model_prices`	`model` (required), `provider`, `resolution`
`estimate_cost`	`model`, `seconds` (required). Optional: `resolution`, `audio` (`with`, `without`, `on`, `off`), `input` (`t2v`, `i2v`, `ref2v`, `v2v`, `extend`, `lip-sync`), `plan`, `provider`, `used` (1–100, default 100), `apply_deals` (default false), `window_seconds` (default 60)
`cheapest_options`	`seconds`, `resolution` (both required). Optional: `audio`, `input`, `used`, `apply_deals`
`list_deals`	`status`: `live` (default), `upcoming`, `ended`, or `all`

estimate_cost uses the same row filter as the credit calculator (scripts/variations.py) and the same plan math as the calculator script: plan price ÷ credits × credits per clip, divided again by the share of credits actually used. API rows are billed seconds times the stated dollars per second. scripts/test_mcp_parity.py checks that against the site code.

Usage counts

A tools/call writes one Workers Analytics Engine point: blob1 is the tool name (unknown if it is not one of the five tools), blob2 is success or error, and double1 is 1. The engine stores the time. The UTC day is that timestamp. The read script also prints when that UTC midnight falls in Pacific Time. Nothing else is stored: no arguments, prompt, IP address, user agent, session id, or country. There is no public stats URL.

Counts are tool requests, not unique people, visits, or sponsor impressions. A retry, a second call from the same person, and a client that does not send the test header each add one. Requests with X-VidFare-Test: 1, and POSTs to localhost or 127.0.0.1 (wrangler dev), are not written. initialize, tools/list, notifications, OPTIONS, and GET are not written. A crawler or someone else's test client that calls a tool is counted.

The write is not awaited and a failure is ignored, so a counter error does not change the tool response.

wrangler.jsonc binds USAGE to the dataset vidfare_mcp_usage. The dataset is created on the first write. Deploying that binding uses the existing Worker deploy token (Workers Scripts Edit or Workers Admin, Workers Routes Edit, and Zone Read). It does not need Analytics Read. Reading the counts does. Create a separate token with Account → Account Analytics → Read, scoped to the VidFare account, and run:

CLOUDFLARE_ACCOUNT_ID=... CLOUDFLARE_API_TOKEN=... python3 scripts/mcp_usage.py

Do not put that token in the repo.

Local

cd mcp-server

npm install npm test npx wrangler dev

wrangler dev stays on this machine. It does not deploy.

Cursor can use mcp-server/.mcp.json. Put the same JSON in a project's .cursor/mcp.json. The URL is https://mcp.vidfare.com/mcp.

Registry

server.json is the MCP Registry document. The name is com.vidfare/vidfare. The remote is streamable-http at https://mcp.vidfare.com/mcp.

Namespace verification for com.vidfare is HTTP. The site serves the published proof record at https://vidfare.com/.well-known/mcp-registry-auth. The file is one line, v=MCPv1; k=ed25519; p= . The private key is not in this repo.

The site build copies the file into dist/.well-known/ and writes dist/.nojekyll. actions/upload-pages-artifact leaves dot paths out unless include-hidden-files is true. Both deploy workflows set that, so the URL answers 200 with no redirect.

Deploy later

Token, one Cloudflare account (the account that owns vidfare.com) and one zone (vidfare.com only):

Scope	Permission	Why
Account, Workers product	Workers Admin	The first `wrangler deploy` creates the Worker. A token that can only edit an existing Worker cannot create this one. In the legacy token form this permission is still labeled Account → Workers Scripts → Edit; that legacy permission also creates scripts. If the new role picker is shown, choose Workers Admin on the Workers product, not Editor.
Zone `vidfare.com`	Workers Routes → Edit	Attaches the custom domain `mcp.vidfare.com`. Current docs call this Workers Routes Write.
Zone `vidfare.com`	Zone → Read	Wrangler looks up the zone id for `vidfare.com`.

Do not add Workers KV, R2, Tail, Account Settings, DNS, or user membership permissions. The Worker has no bindings.

DNS record on vidfare.com, created in the dashboard (the token above does not edit DNS):

Type	Name	Content	Proxy
AAAA	`mcp`	`100::`	Proxied

That is the proxied hostname a Worker custom domain uses. wrangler.jsonc sets the route to custom domain mcp.vidfare.com. After the record exists, npx wrangler deploy from this directory publishes the Worker. It still needs CLOUDFLARE_API_TOKEN in the environment, not in the repo.