MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Manage RD Station CRM contacts, deals, tasks and notes, with pipeline health reports
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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.
RDSTATION_CRM_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"rdstation-crm": {
"command": "npx",
"args": [
"-y",
"rdstation-crm-mcp"
],
"env": {
"RDSTATION_CRM_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add rdstation-crm --env RDSTATION_CRM_TOKEN=your-value -- npx -y rdstation-crm-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"rdstation-crm": {
"command": "npx",
"args": [
"-y",
"rdstation-crm-mcp"
],
"env": {
"RDSTATION_CRM_TOKEN": "your-value"
}
}
}
}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": {
"rdstation-crm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"rdstation-crm-mcp"
],
"env": {
"RDSTATION_CRM_TOKEN": "your-value"
}
}
}
}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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account fernandoludvig, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
You need to fill in: RDSTATION_CRM_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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.
An open-source [MCP](https://modelcontextprotocol.io) server for [RD Station CRM](https://crm.rdstation.com) — the leading CRM in Brazil and Latin America. Manage contacts, deals, tasks and notes, and get pipeline health reports, straight from Claude or any MCP-compatible client.
"How's my sales pipeline this month?" → stage-by-stage totals, win rate, and the deals going stale.
RD Station CRM is huge in the LatAm market, but had no open-source MCP server. This project connects it to the MCP ecosystem so AI agents can work your pipeline: qualifying leads, moving deals, scheduling follow-ups, and answering questions about your sales data in natural language.
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "rdstation-crm": { "command": "npx", "args": ["-y", "rdstation-crm-mcp"], "env": { "RDSTATION_CRM_TOKEN": "your-instance-token" } } } }
Claude Code:
claude mcp add rdstation-crm -e RDSTATION_CRM_TOKEN=your-instance-token -- npx -y rdstation-crm-mcp
That's it. Ask Claude something like *"list my open deals"* or *"give me a pipeline overview"*.
| Tool | Description |
|---|---|
rdcrm_search_contacts | Search contacts by name, email or phone |
rdcrm_get_contact | Contact details, including linked deals |
rdcrm_upsert_contact | Create a contact, or update it if the email already exists |
rdcrm_list_deals | List deals filtered by status, pipeline, stage, owner, dates |
rdcrm_get_deal | Deal details: stage, value, owner, contacts, products |
rdcrm_create_deal | Create a deal — accepts stage by *name*, resolved automatically |
rdcrm_update_deal | Move stage, change owner, rating, close date, pause/resume |
rdcrm_close_deal | Mark won or lost (lost reasons resolved by name) |
rdcrm_list_tasks | List tasks by deal, assignee, status, type, due date |
rdcrm_create_task | Create a task (call, email, meeting, whatsapp...) on a deal |
rdcrm_add_note | Add a note to a deal's timeline |
rdcrm_pipeline_overview | Pipeline health report: totals per stage, win rate, stalled deals |
These tools are designed for LLMs, not as a 1:1 API wrapper:
rdcrm_pipeline_overview answers the questions humans actually ask ("where are deals stuck?") with a single tool call.The default (rdstation-crm-mcp) runs over stdio for a single local user, with the token read once from RDSTATION_CRM_TOKEN. For a team-hosted or registry-listed deployment (e.g. Smithery), run the Streamable HTTP variant instead:
npx -y rdstation-crm-mcp-http
This starts an HTTP server (http://127.0.0.1:8080/mcp by default) implementing the MCP Streamable HTTP transport, with proper session lifecycle (initialize → Mcp-Session-Id → DELETE to close).
Because a hosted server can serve more than one user, there's no single implicit token: each session sends its own Authorization: Bearer header on initialize. A RDSTATION_CRM_TOKEN env var still works as a fallback default for a single-tenant self-hosted setup where every caller shares one CRM account.
Env vars:
| Var | Default | Purpose |
|---|---|---|
PORT | 8080 | Port to listen on |
HOST | 127.0.0.1 | Bind address — use 0.0.0.0 for containers/cloud |
ALLOWED_HOSTS | *(unset)* | Comma-separated Host header allow-list (DNS-rebinding guard); recommended when binding to 0.0.0.0 without a reverse proxy in front |
RDSTATION_CRM_TOKEN | *(unset)* | Default token used when a session sends no Authorization header |
curl http://127.0.0.1:8080/health
git clone https://github.com/fernandoludvig/rdstation-crm-mcp.git
cd rdstation-crm-mcp npm install npm test # unit tests (API mocked with msw) npm run typecheck npm run build RDSTATION_CRM_TOKEN=xxx npx @modelcontextprotocol/inspector node dist/index.js
The HTTP layer (src/client/) is isolated from the tools, with retry and exponential backoff for 429/5xx built in.
Contributions welcome — open an issue first for anything non-trivial.
MIT © Fernando Ludvig
*Not affiliated with or endorsed by RD Station. Uses the public RD Station CRM API v1.*