MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
The context layer for go-to-market teams
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.marcora.ai/Führe das in deinem Terminal aus
claude mcp add --transport http marcora https://mcp.marcora.ai/In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"marcora": {
"url": "https://mcp.marcora.ai/"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"marcora": {
"type": "http",
"url": "https://mcp.marcora.ai/"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.marcora.ai/Menünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Der Server verlangt eine Anmeldung, bevor er seine Tools auflistet.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde über die Domain marcora.ai bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 195 ms (HTTP 401)
Gibt OAuth-Anmeldung an, damit deine KI-App dich zum Einloggen weiterleiten kann
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.6) kam vor 3 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.