MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者による説明(英語の原文)
The context layer for go-to-market teams
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://mcp.marcora.ai/ターミナルでこれを実行します
claude mcp add --transport http marcora https://mcp.marcora.ai/プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"marcora": {
"url": "https://mcp.marcora.ai/"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"marcora": {
"type": "http",
"url": "https://mcp.marcora.ai/"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://mcp.marcora.ai/メニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーは、ツール一覧を表示する前にサインインを求めます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名はドメイン marcora.ai で確認済みです(レジストリがドメインの所有を確認しています)
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
195ミリ秒で応答(HTTP 401)
OAuthでのサインインに対応しているため、AIアプリがログイン画面へ案内してくれます
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(1.0.6)がレジストリに届いたのは3 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Marcora is the context layer for go-to-market teams: your positioning, brand voice, and product facts in one source of truth that your AI tools read from.
Learn more: marcora.ai
This is the public documentation repository for Marcora's hosted MCP server. The server itself is a commercial, closed-source remote service. This repo provides metadata, connection instructions, tool documentation, and support resources.
| Type | Hosted remote MCP server |
| Implementation | Closed-source (commercial) |
| Transport | Streamable HTTP |
| Authentication | OAuth 2.0 or API token |
| Status | Production |
Marcora is the context layer for go-to-market teams. Build your source of truth once: a Brand Foundation (positioning, brand voice, and writing style) plus a Reference Library of product docs, buyer personas, competitive analysis, and messaging. Claude, ChatGPT, and any AI tool that supports MCP connections read from it, so what you write stays on-brand and accurate.
Marcora was formerly called MarketCore.
Marcora's MCP server enables AI clients to:
Server URL (OAuth): https://mcp.marcora.ai
Authentication options:
https://mcp.marcora.aihttps://mcp.marcora.ai), passing the key in an Authorization: Bearer header. The server negotiates the right transport automatically.Add to your MCP client config:
{
"mcpServers": { "marcora": { "url": "https://mcp.marcora.ai" } } }
See docs/quickstart.md for setup instructions for Claude, ChatGPT, Claude Desktop, Cursor, and VS Code.
The Marcora AI Workflows Anthropic Skill ships alongside this server. It teaches your AI client Marcora's mental model, the right tool sequencing, the questions to ask the user before acting, and the pitfalls to avoid — so the agent stops misfiring on tasks that look ambiguous from tool descriptions alone.
| Skill | What it covers | Source |
|---|---|---|
Marcora AI Workflows (marcora-mcp) | Object model (content, blueprints, projects, context items); content-generation patterns; the 4-layer context model; project-brief mechanics; the content plans board and playbooks; building reusable multi-step workflows; and choosing between similar tools | skill/marcora-mcp/ |
Your AI client picks the skill up on demand based on the task.
npx skills add ccromp/marcora-mcp
This installs the marcora-mcp skill for Claude Code and other agents that read SKILL.md skills. To preview first, run npx skills add ccromp/marcora-mcp --list.
Get the .skill file from the latest release:
marcora-mcp.skill — the Marcora skill (a zip archive containing SKILL.md and its bundled reference files).Claude Code:
# Download and unzip into your skills directory
mkdir -p ~/.claude/skills unzip ~/Downloads/marcora-mcp.skill -d ~/.claude/skills/
Restart Claude Code. The skill loads automatically on any matching task.
Claude Desktop:
Import the .skill file via Claude Desktop's Skills folder. See Anthropic's Skills documentation for the current path on your platform.
ChatGPT, Cursor, and other non-Anthropic clients:
These clients don't directly support Anthropic Skills (yet). Workaround: unzip the .skill file and paste the contents of SKILL.md into your client's custom instructions or system-prompt slot. Bundled reference files can be pasted in too if your client supports longer context.
If you'd rather track main directly:
git clone https://github.com/ccromp/marcora-mcp.git
ln -s "$(pwd)/marcora-mcp/skill/marcora-mcp" ~/.claude/skills/marcora-mcp
The unbundled skill source lives under skill/.
Releases are tagged marcora-vX.Y.Z — see Releases. Each release attaches the bundled skill as marcora-mcp.skill. The skill's own version is the metadata.version field in its SKILL.md, and it moves independently of the release tag.
| Category | Tool | Description |
|---|---|---|
| Account | get_current_user_info | Get profile, subscription, and usage info |
| Account | get_team_info | List every team you belong to + each team's members (numeric user_ids for assignment) |
| Account | set_active_team | Switch your active team (returns previous_team_id to restore) |
| Context & Resources | get_brand_foundation | Get team's Brand Foundation (company overview, voice, style, examples) |
| Context & Resources | update_brand_foundation | Overwrite one Brand Foundation element |
| Context & Resources | list_context_collections | List context collections |
| Context & Resources | create_context_collection | Create a new context collection |
| Context & Resources | add_context | Add a context item to your library |
| Context & Resources | update_context | Update an existing context item |
| Context & Resources | list_context_items | List context items in your library (optional semantic search) |
| Context & Resources | get_context_item | Get a context item's full markdown content |
| Context & Resources | get_relevant_context | Search context library by prompt (with a project_id, also returns the project's brief) |
| Context Intelligence | list_ci_findings | List findings from automated context-library scans |
| Context Intelligence | get_ci_finding | Get one finding in full detail by UUID |
| Context Intelligence | update_ci_finding_status | Acknowledge, dismiss, or resolve a finding |
| Context Intelligence | trigger_health_audit_scan | Start a library-wide context health audit |
| Content Grounding | check_content_grounding | Check a document's claims against your context library |
| Content Grounding | get_grounding_result | Read a grounding scan's result (poll with scan_id) |
| Content Grounding | apply_grounding_fix | Apply a finding's recommended fix by id |
| Reference | list_content_categories | List content categories |
| Reference | list_targeting_dimensions | List targeting dimensions and options |
| Reference | learn_marcora_tools | Marcora's guide to its own tools, by topic (for assistants without the skill) |
| Blueprints | list_blueprints | List all blueprints |
| Blueprints | get_blueprint | Get blueprint details by UUID |
| Blueprints | create_blueprint | Create a reusable content template |
| Blueprints | create_blueprint_draft | Create an AI-assisted blueprint draft |
| Blueprints | finalize_blueprint_draft | Publish a blueprint draft |
| Community Blueprints | list_community_blueprints | Browse community templates |
| Community Blueprints | get_community_blueprint_details | Get community blueprint details |
| Community Blueprints | import_community_blueprint | Import a community blueprint |
| Content | create_content | Save a new document in the workspace: your own text by default, or written by Marcora (with or without blueprint) |
| Content | get_generation_status | Check async generation status |
| Content | list_content | List all content (optional semantic search) |
| Content | get_content | Get full content by ID |
| Content | update_content | Update a content document |
| Content | ask_content_assistant | Run the in-document Content Assistant on a document |
| Sharing & Export | create_external_share | Create a public share link |
| Sharing & Export | convert_markdown_to_word_doc | Export markdown as Word doc |
| Projects | list_projects | List all projects |
| Projects | get_project | Get project details, including its brief |
| Projects | create_project | Create a new project |
| Projects | update_project | Update mutable fields on a project |
| Plans & Playbooks | list_plans | List content plans (with filters) |
| Plans & Playbooks | get_plan | Get plan details by UUID |
| Plans & Playbooks | create_plan | Create a new content plan |
| Plans & Playbooks | update_plan | Update a plan or transition its stage |
| Plans & Playbooks | produce_plan | Produce (generate) the content a plan describes |
| Plans & Playbooks | list_playbooks | List content playbooks |
| Plans & Playbooks | get_playbook | Get a playbook and its ordered items |
| Plans & Playbooks | create_playbook | Author a reusable playbook of plan items |
| Plans & Playbooks | create_playbook_from_plans | Capture existing plans as a playbook |
| Plans & Playbooks | update_playbook | Rename, re-describe, or restructure a playbook |
| Plans & Playbooks | instantiate_playbook | Run a playbook into a batch of plans (optionally anchored to a date) |
| Workflows | list_workflows | List workflows |
| Workflows | get_workflow | Get a workflow's full definition |
| Workflows | create_workflow | Create a new workflow template |
| Workflows | update_workflow | Update, activate, or archive a workflow |
| Workflows | run_workflow | Run a workflow now |
| Workflows | get_workflow_runs | Inspect workflow run history |
See docs/tools.md for the complete tool reference.
See docs/security.md for details on data handling, permissions, and responsible disclosure.
The documentation, skill, and metadata in this repository are licensed under the MIT License. The Marcora MCP server implementation is proprietary and is not covered by that license or included in this repository.