MCP YouTube Transcript
作者：jkawamoto
An MCP server retrieving transcripts of YouTube videos
在你的电脑上运行★ 495MIT9天前更新
安装
Analytics Legends — SAP AI & Analytics MCP Server
概览
作者提供的说明（英文原文）
SAP AI & analytics market data for agents: SAP firms, day rates, jobs, Joule & BDC news
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i1 项中通过 1 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: 营销与社交媒体
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：1 项中通过 1 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。
- 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？
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://analyticslegends.ai/mcp在终端中运行这条命令
claude mcp add --transport http sap-analytics https://analyticslegends.ai/mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json
{
"mcpServers": {
"sap-analytics": {
"url": "https://analyticslegends.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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"sap-analytics": {
"type": "http",
"url": "https://analyticslegends.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：
- 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://analyticslegends.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。
它能做什么
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。
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
- ✓ 通过
作者与仓库一致
注册名称已通过域名 analyticslegends.ai 验证（注册中心会核实域名所有权）
- … 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
- … 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
- … 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
- … 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表
与“营销与社交媒体”中的其他服务器比较i
- 星标数多于此分类中其他 2956 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 2956 个服务器的 82% 更新
- 基础检查结果等于或优于此分类中其他 2956 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
Analytics Legends — SAP AI & Analytics MCP Server 安全吗？
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。
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（1.1.1）于7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。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：MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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
Google Analytics MCP
作者：surendranb
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
在你的电脑上运行★ 244MIT9天前更新
安装
BibiGPT YouTube Video Summarizer
作者：JimmyLv
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
在云端运行★ 137MIT9天前更新
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。
Analytics Legends — SAP AI & Analytics MCP Server
A read-only Model Context Protocol server over a curated corpus of the SAP AI & analytics services market: who delivers SAP Business AI and Joule, Business Data Cloud, SAP Datasphere, SAP Analytics Cloud and BW/4HANA work, what the contract market looks like, what the day rates are, what the vocabulary means, and what has just happened.
It exists so that an assistant answering an SAP analytics question can cite a record instead of guessing. Every row carries a citation_url on analyticslegends.ai, and every response carries the size of the population it was drawn from.
Nothing to install. The server is hosted:
https://analyticslegends.ai/mcp streamable-httpThe public tools need no credential.
Looking for an MCP server that connects to your own SAP system (BTP, CAP, UI5, Fiori, ABAP, Datasphere…)? This one serves market data, not your tenant — the catalogue of SAP MCP servers lists the official SAP, AWS and community servers, verified on their own pages.
Connect
Claude Code
claude mcp add --transport http analytics-legends https://analyticslegends.ai/mcpwith a subscriber key, to open the eight gated tools:
claude mcp add --transport http analytics-legends https://analyticslegends.ai/mcp \ --header "Authorization: Bearer alk_…"
</details>Claude web, Desktop and mobile (custom connector)
Add a custom connector pointing at https://analyticslegends.ai/mcp. The public tranche answers immediately, with no credential.
To open the paid tranche, use the connector's request-header authentication and set Authorization to Bearer alk_…. The credential is entered once, by whoever adds the connector, and is shared by that workspace — one key, one daily quota. There is no OAuth consent flow to walk: this server's unit of access is a personal API key minted on an analyticslegends.ai account, not a delegated identity.
Claude Desktop / any client reading a JSON config
{"mcpServers": { "analytics-legends": { "type": "streamable-http", "url": "https://analyticslegends.ai/mcp" } } }
</details>With a subscriber key (opens the eight gated tools)
{"mcpServers": { "analytics-legends": { "type": "streamable-http", "url": "https://analyticslegends.ai/mcp", "headers": { "Authorization": "Bearer alk_…" } } } }
</details>The manifest is served at /.well-known/mcp.json and mirrored in this repository as mcp.json. tools/list is the authority for the surface — this README is a copy, and a copy can drift.
The 22 tools
Fourteen are public and unauthenticated. Eight need a subscriber key; they are listed and refuse by name, never hidden — an agent can see what it is missing. Three open at Consultant, five at Legend, and the MCP Pass opens all eight.
| Tool | Answers |
|---|---|
search_firms | Which SAP analytics providers match a country, kind, free text |
count_firms_by | A counting question in one call, instead of a page of rows |
get_firm | One organisation from the published directory |
list_firm_kinds | The directory's breakdown by organisation kind, with live counts |
find_opportunities | The live contract and permanent-role radar |
search_news | The curated SAP analytics news corpus |
search_concepts | The concept encyclopaedia — the vocabulary of the stack |
get_concept | One concept: title, category, level, tags, editor's summary |
list_studies | The deep-research study editions and their metadata |
get_day_rate_benchmark | The public day-rate aggregate by country, stack, seniority |
list_sap_modules | The canonical SAP module/product taxonomy |
list_freelance_platforms | The CV/profile platforms a consultant can sign up on |
find_academy_modules | The Academy training catalogue, searchable by module |
query_knowledge_graph | A traversal of the learning knowledge graph |
🔒 get_concept_card | The full encyclopaedia card — body, key points, cheat sheet |
🔒 get_study | One study body |
🔒 get_academy_module | One Academy module, in full |
🔒 find_sap_clients | The SAP end-customer corpus — who *runs* SAP |
🔒 get_sap_client_profile | One end-customer's SAP footprint and analytics estate |
🔒 get_firm_intel | A firm's practice size, partner level, delivery flags |
🔒 get_expansion_brief | Before opening in another region: providers, SAP end-customers and openings there, and the brand families bridging your home region to it |
🔒 find_partner_candidates | The local providers of a target country or region to partner with, subcontract to, or acquire |
Every tool is annotated readOnlyHint: true. The server writes nothing, anywhere.
Two rules it holds itself to
A count is read at query time, and it comes with its population. Responses carry _meta.match_count (what your filters matched) and _meta.tranche_total_row_count (the whole tranche). Quote those rather than any number written in a description — including the ones in this file.
A citation says what it is. Every item carries citation_url and citation_scope. record means the URL is that item's own page; section_hub means this platform publishes no page for that item and the URL is the section index — say so, or cite the section, but do not present a hub URL as the item's page. News items also carry source_url for the upstream publisher: cite both.
What is deliberately not served, at any tier
- People. Individual professionals are held as initials only. No tool returns anyone's identity or contact details.
- The matchers. Opportunity-to-consultant scoring stays on the platform.
- SAP's own documentation. Not ours to restate — cite SAP.
Retrieval with attribution is permitted. Training-data use is not.
Subscriptions
The eight gated tools open with an analyticslegends.ai subscription (Consultant or above), or with the MCP Pass (€39.90/month) — the machine-access subscription: this server's entire paid tranche, no web subscriber screens.
Where the source lives
The platform's application repository is private: it holds a paid corpus and personal data. This repository is the server's public face — its manifest, its registry descriptor, its client configuration and this documentation. The server itself answers at https://analyticslegends.ai/mcp, and the honest way to inspect it is to call tools/list against it.
Health, with its own timestamp: /api/mcp-health.json — read its generated_at rather than assuming a cadence.
Published in the official MCP registry as `ai.analyticslegends/sap-analytics`.
Licence
MIT for the contents of this repository. The licence does not grant rights over the data served by the endpoint, which stays under the platform's terms.