MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
mtdt.io MCP: Salesforce DevOps platform connector (metadata deployments, backups and more)
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Works in Claude on the web, desktop and mobile:
https://mcp.mtdt.ioRun this in your terminal
claude mcp add --transport http salesforce-devops https://mcp.mtdt.ioPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"salesforce-devops": {
"url": "https://mcp.mtdt.io"
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"salesforce-devops": {
"type": "http",
"url": "https://mcp.mtdt.io"
}
}
}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:
https://mcp.mtdt.ioMenu 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.
The server asks you to sign in before it lists its tools.
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 6, 2026
The registry name was verified against the domain mtdt.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 589 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry yesterday.
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.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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
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.
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.
Salesforce DevOps in any MCP-capable coding agent. One remote endpoint:
https://mcp.mtdt.io
Streamable HTTP + OAuth 2.0 (browser sign-in, Dynamic Client Registration) — no API keys, no tokens to copy. Works with Claude Code, Cursor, OpenAI Codex, OpenCode, and anything else that speaks MCP.
Deploy metadata between Salesforce orgs through mtdt.io: find orgs and deployment sources (git repos, metadata backups, uploaded archives), create a deployment and edit its components and test level, browse metadata, run the pre-deploy checks (missing dependencies, target conflicts, profile & permission warnings, record-backup recommendations, Apex test recommendations), validate with tests, and deploy: use execute_deployment for the current saved draft or execute_quick_deployment for an explicitly selected validation package. A zip the agent already has (SFDX project or Metadata API package) can be uploaded straight to mtdt and deployed whole. Compare two orgs, back up org metadata, and move Work Items through a project's environments. Every launch answers at once with the run's state; your agent follows it with get_deployment_run.
Deploy-capable tools require the Run (mtdt:deploy) consent scope and always respect your team's mtdt roles — approval-gated targets stay approval-gated.
The plugin is more than the connection: it ships the deployment know-how as skills, so Claude doesn't just *have* the tools — it knows the playbook.
/plugin marketplace add mtdt-io/mcp
/plugin install mtdt@mtdt
On first use Claude Code opens your browser to sign in to mtdt (OAuth) — no config files.
Verified copy-paste configs per client (and the type-field gotchas between them): [CONNECT.md](CONNECT.md). Every client receives the deployment playbook at connection time (MCP instructions) and can pull the mtdt-deploy / mtdt-troubleshoot prompts; the plugin above ships the same know-how as skills, applied without being asked.
Quick versions:
| Client | One-liner |
|---|---|
| Claude Code | claude mcp add --transport http mtdt https://mcp.mtdt.io |
| Cursor | |
| OpenAI Codex | codex mcp add mtdt --url https://mcp.mtdt.io |
| OpenCode | "mcp": { "mtdt": { "type": "remote", "url": "https://mcp.mtdt.io" } } |
The connector processes requested Salesforce metadata and deployment/backup information through the MTDT service. Scope consent, team roles and target approval policies apply to the signed-in account. Review the privacy policy and terms of service before connecting. For support, email support@mtdt.io or use the contact form.
Maintainers can build the OpenAI/Codex and Claude distribution ZIPs with python3 publishing/package.py build. Submission materials and instructions are in publishing/README.md.