MCP YouTube Transcript
by jkawamoto
An MCP server retrieving transcripts of YouTube videos
Runs on your computer★ 495MITUpdated 9 days ago
Install
Marketing & Brand Context by Marcora
Overview
Description from the maker (original English)
The context layer for go-to-market teams
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP, SSE
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.marcora.ai/Run this in your terminal
claude mcp add --transport http marcora https://mcp.marcora.ai/Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"marcora": {
"url": "https://mcp.marcora.ai/"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"marcora": {
"type": "http",
"url": "https://mcp.marcora.ai/"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.marcora.ai/Menu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
The server asks you to sign in before it lists its tools.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain marcora.ai (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 195 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Marketing & social mediai
- More stars than 0% of the other 2970 servers in this category
- Published to the registry more recently than 90% of the other 2970 servers in this category
- Basic checks equal to or better than 100% of the other 2970 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Marketing & Brand Context by Marcora safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.6) reached the registry 3 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
by surendranb
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
Runs on your computer★ 244MITUpdated 9 days ago
Install
BibiGPT YouTube Video Summarizer
by JimmyLv
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Runs in the cloud★ 137MITUpdated 10 days ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Marcora MCP Server
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
About
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 |
What It Does
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:
- Manage brand and company context and reference materials
- Create and manage blueprints for content generation
- Generate marketing content from context and blueprints
- Organize work with projects and collections
- Browse and import community blueprints and templates
- Plan content on the plans board and produce it, individually or from reusable playbooks
- Automate recurring work with reusable, multi-step workflows
- Share content externally and export to Word
Connection
Server URL (OAuth): https://mcp.marcora.ai
Authentication options:
- OAuth 2.0 (recommended for interactive clients) — connect using
https://mcp.marcora.ai - API Token (for non-interactive environments) — generate a key at Integration Settings and connect to the same URL (
https://mcp.marcora.ai), passing the key in anAuthorization: Bearerheader. The server negotiates the right transport automatically.
Quickstart
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 Skill (recommended)
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.
Install with the skills CLI
npx skills add ccromp/marcora-mcpThis 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.
Download
Get the .skill file from the latest release:
marcora-mcp.skill— the Marcora skill (a zip archive containingSKILL.mdand its bundled reference files).
Install
Claude Code:
# Download and unzip into your skills directorymkdir -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.
Power-user install (clone and symlink)
If you'd rather track main directly:
git clone https://github.com/ccromp/marcora-mcp.gitln -s "$(pwd)/marcora-mcp/skill/marcora-mcp" ~/.claude/skills/marcora-mcp
The unbundled skill source lives under skill/.
Releases
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.
Available Tools
| 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.
Documentation
- Overview
- Quickstart
- Authentication
- Tools Reference
- Errors & Troubleshooting
- Security & Privacy
- Changelog
- Support
- Marcora Website Documentation
Security & Privacy
See docs/security.md for details on data handling, permissions, and responsible disclosure.
Support
- Bug reports & feature requests: GitHub Issues
- Website: marcora.ai
License
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.