MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
SAP AI & analytics market data for agents: SAP firms, day rates, jobs, Joule & BDC news
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://analyticslegends.ai/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http sap-analytics https://analyticslegends.ai/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"sap-analytics": {
"url": "https://analyticslegends.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"sap-analytics": {
"type": "http",
"url": "https://analyticslegends.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://analyticslegends.ai/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
search_firmsSearch the published Analytics Legends directory of SAP AI & analytics service providers — placement agencies, Big-4 and ESN practices, SAP vendors, platforms and community groups — by country, region (EMEA · AMER · LATAM · APAC · AFRICA), kind, declared SAP module and free text.
count_firms_byAnswer a COUNTING question about the published firm directory in one call: how many organisations per country, per REGION (the six-value geography), per kind, per declared SAP module, or per SAP signal band — with the same `country`/`kind`/`module`/`query` filters `search_firms`
get_firmFetch one organisation from the published directory by its database slug (`rows[].slug` from search_firms, verbatim). Returns the same public fields plus `partnerships_declared`, the count of partnerships this directory records for the firm — 0 on ~77 % of rows (re-measured 2026-
list_firm_kindsBreakdown of the published firm directory by organisation kind, with a live row count per kind. Use this before search_firms to know what the population actually is instead of guessing.
list_freelance_platformsThe subset of the published directory where a consultant can CREATE A PROFILE — freelance marketplaces, job boards with candidate profiles, talent platforms and expert networks — each with its signup URL, an editorial confidence grade and the date it was assessed. This answers th
find_opportunitiesSearch every SAP contract and permanent-role posting Analytics Legends publishes to an ANONYMOUS visitor. Only the SITE RADAR leg below is the population a human browses on /opportunities/, where each of its postings has its own prerendered page; the PROMOTED leg is served to age
search_newsSearch the Analytics Legends market-news corpus. It is watched FOR SAP AI & analytics (Datasphere, Business Data Cloud, SAC, BW/4HANA, Databricks, the 2027/2030 maintenance window), but it is NOT an all-SAP corpus: measured 2026-07-30, ~84 % of active rows sit in the `AI` categor
search_conceptsSearch the SAP AI & analytics concept encyclopaedia — the vocabulary of the stack, written for practitioners. Returns slug, title, category, level, tags and the editor's summary. `level` is GRADED on every active row since 2026-09-18 (the CHECK constraint accepted only the legacy
get_conceptFetch one concept entry by slug: title, category, level, tags and the editor's summary. Written by a named human editor, not generated. `level` is GRADED on every active row since 2026-09-18 (the CHECK constraint accepted only the legacy vocabulary OR NULL, so the loader wrote NU
list_studiesList the Analytics Legends deep-research studies with their edition, as-of date, audience, word count and canonical URL. METADATA ONLY: study bodies are a paid Consultant-tier deliverable, served by `get_study` on this same endpoint with a subscriber key. Use this to tell a reade
get_day_rate_benchmarkThe PUBLIC day-rate aggregate for SAP AI & analytics freelance work: min/max daily rate by country, specialisation and seniority — `daily_rate_min` / `daily_rate_max` (plus `daily_rate_median`, `daily_rate_p10`, `daily_rate_p90` when the source publishes them), every amount in th
list_sap_modulesThe canonical SAP module/product taxonomy Analytics Legends classifies against (codes and EN/FR labels by category). Use it to normalise a user's loose product wording — 'SAC', 'Analytics Cloud', 'Datasphere' — onto the codes the other tools filter on.
find_academy_modulesSearch the Analytics Legends Academy — the written training modules on SAP Datasphere, Business Data Cloud, SAP Analytics Cloud, BW/4HANA and Databricks — by track, level and free text. `_meta.tranche_total_row_count` carries the live catalogue size on every call; it is the only
query_knowledge_graphThe RELATIONS between the platform's teaching objects — which Academy module teaches which concept, which study covers which module, what a concept relates to. THIS IS THE ONLY TOOL ON THIS SERVER THAT SERVES EDGES; the others serve rows. Ask it what connects to what, not what ex
find_answersStart here when someone asks about an SAP AI & analytics PROBLEM rather than a term. Matches a natural question, in English, French or German, to the twelve ranked challenges Analytics Legends tracks: agents in production, Joule value, AI cost, AI-ready data, on-premise reach, th
get_concept_cardThe FULL encyclopaedia card for one concept — body, cheat sheet, glossary, pro tip, and the four analysis tables (decision table, peer comparison, named pitfalls, performance facts), EN, FR and DE, plus why-it-matters and key points (those two are also published free on the conce
get_studyRead one Analytics Legends study BODY — the paid text behind list_studies' metadata. Requires the API key of an MCP Pass or Firm account (the Consultant and Legend web plans do not include MCP access). Bodies run to 38k words and exceed the 256 KiB response ceiling, so this tool
get_academy_moduleRead one Academy training module in full — body, learning objectives and summary, EN, FR and DE — the written course corpus the Consultant web plan sells. On THIS endpoint the paid tranche is opened by the MCP Pass (€29.90/month, analyticslegends.ai/mcp-server/) or the Firm Pass;
find_sap_clientsSearch the SAP END-CUSTOMER corpus — the companies that RUN SAP, not the firms that sell services (those are search_firms). This is the paid Legend+ dataset locked away from the public surface on 2026-07-08; it requires the API key of an MCP Pass or Firm account. Verification sta
get_sap_client_profileThe full profile of one SAP end-customer — SAP footprint (products in use, modules known), analytics solutions, identity and evidence fields. Requires the API key of an MCP Pass or Firm account (the Consultant and Legend web plans do not include MCP access). `id` comes verbatim f
get_expansion_briefThe one-call brief a services practice reads before opening a subsidiary in another region: providers already there (by kind and by country, and how many are LOCAL entities versus members of multi-region groups), SAP end-customers there (by country and by industry — counts from t
find_partner_candidatesRank the LOCAL service providers of a target country or region — the firms a practice partners with, subcontracts to, or acquires to enter a market. `local_only` (default true) keeps firms with NO sister entity in another country (read from the brand-family key of the SSOT): a su
get_firm_intelThe paid intelligence profile of a services firm — SAP practice size and partner level, delivery flags per product, typical day rate and seniority, notable clients, analytics practice summary, and a LinkedIn company URL (present on ~71% of the corpus, re-measured 2026-09-05 on 9,
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 도메인 analyticslegends.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
362ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 23개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.2)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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-http
The 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.
Claude Code
claude mcp add --transport http analytics-legends https://analyticslegends.ai/mcp
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.
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.
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.
Retrieval with attribution is permitted. Training-data use is not.
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.
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`.
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.