MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Nynch, the AI CRM for consultants and fractionals: contacts, deals and relationship intelligence.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http nynch https://app.nynch.com/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"nynch": {
"url": "https://app.nynch.com/mcp",
"headers": {
"Authorization": "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": {
"nynch": {
"type": "http",
"url": "https://app.nynch.com/mcp",
"headers": {
"Authorization": "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.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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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 with the GitHub account peterod99, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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The GitHub repo last changed –, and the latest version (3.1.0) reached the registry 11 days ago.
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In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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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.
Website: www.nynch.com · Developer docs: www.nynch.com/developers · Endpoint: https://app.nynch.com/mcp
The official, hosted Model Context Protocol server for Nynch, the AI CRM for consultants and fractionals who win high-value deals based on relationships.
50 tools across 6 categories: CRM read, CRM write, relationship intelligence, firm intelligence, context query, and multi-agent orchestration.
https://app.nynch.com/mcp
Transport: JSON-RPC 2.0 over Streamable HTTP. The server is stateless (no session to manage) and negotiates the protocol version with your client — it speaks 2025-11-25, 2025-06-18, and 2025-03-26.
The older endpoint
https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-serverstill answers, but it is deprecated. Usehttps://app.nynch.com/mcpin new configs.
In Claude, open Settings → Connectors → Add custom connector and enter https://app.nynch.com/mcp. Click Connect, sign in with your Nynch account and approve access. Revoke access any time in Nynch under Settings → Integrations → AI hosts.
Sign up at www.nynch.com, then go to Settings → Integrations → Claude & AI Assistants and create an API key.
Scopes:
read — Search, browse, and retrieve dataread-write — Read + create, update, delete recordsadmin — Full access including agent orchestrationAdd to claude_desktop_config.json:
{
"mcpServers": { "nynch": { "url": "https://app.nynch.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }
Add to .cursor/mcp.json:
{
"mcpServers": { "nynch": { "url": "https://app.nynch.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async with streamablehttp_client( "https://app.nynch.com/mcp", headers={"Authorization": "Bearer YOUR_API_KEY"} ) as (read, write, _): async with ClientSession(read, write) as session: await session.initialize() result = await session.call_tool("search_contacts", {"query": "Acme Corp"}) print(result)
Your AI client discovers available tools automatically. Ask it to search contacts, check your pipeline, create tasks, or analyze relationships.
| Tool | Description |
|---|---|
search_contacts | Search contacts by name, company, or tags |
get_contact_context | Full contact context: profile, interactions, activities, notes, network |
search_deals | Search deals by title, stage, or company |
get_deal_context | Full deal context: stakeholders, learnings, coaching actions |
search_deals_by_inactivity | Find stalled deals with no recent activity |
get_pipeline_summary | Pipeline health: stage distribution, at-risk deals, upcoming closes |
get_next_best_actions | AI-powered recommendations for what to do next |
get_who_list | People to reach now, including identified site visitors. Never mention a specific page in outreach |
list_buckets | List all buckets (lists/segments) |
get_bucket_contacts | Get contacts in a specific bucket |
get_bucket_game_queue | Get contacts waiting to be sorted into buckets |
| Tool | Description |
|---|---|
log_interaction | Record a contact interaction (call, email, meeting, note) |
update_deal_stage | Move a deal to a new pipeline stage |
create_task | Create a task linked to a contact or deal |
create_note | Add a note to a contact (supports markdown) |
create_contact | Create a new contact (auto-links to company by domain) |
update_contact | Update fields on an existing contact |
add_contact_to_bucket | Add a contact to a bucket |
create_deal | Create a new deal in the pipeline |
create_company | Create a new company |
delete_contact | Soft-delete a contact (recoverable) |
bulk_delete_contacts | Soft-delete contacts by tag or ID list |
update_commitment | Mark a commitment as completed or update details |
| Tool | Description |
|---|---|
get_authority_score | Authority score across 6 dimensions |
get_commitments | Commitments with Say/Do tracking and due dates |
get_buying_committee | Stakeholder map: roles, influence, sentiment |
get_contact_signals | Job changes, company changes, buying intent, identified website visits (no page paths) |
get_interaction_history | Full interaction timeline with direction and sentiment |
get_relationship_score | 5-factor relationship strength score |
export_context_briefing | AI-ready context briefing for any contact or deal |
get_relationship_trends | Is engagement growing, stable, or declining? |
get_at_risk_relationships | Contacts with dropping scores or no recent contact |
get_deal_intelligence | Deal health: velocity, stakeholder coverage, risk factors |
get_weekly_briefing | Weekly summary: interactions, changes, recommendations |
| Tool | Description |
|---|---|
get_firm_warm_paths | Who at your firm knows this person or company, ranked by relationship strength. Metadata only, never email content |
find_firm_reachable_people | People you can reach through a teammate, strongest path first, with the best teammate to ask for an intro |
get_firm_client_outcomes | Client work the firm has won: value, retainer, owner, primary contact, referrer, totals by currency |
| Tool | Description |
|---|---|
register_agent | Register an external agent with capabilities and archetype |
list_agents | List registered agents with status |
agent_heartbeat | Confirm agent liveness |
write_context | Write to the shared agent context store |
read_context | Read from context store (supports prefix wildcards) |
create_handoff | Request another agent to perform a task |
get_handoffs | Get pending handoffs for your agent |
complete_handoff | Mark a handoff as completed or failed |
Discover and read bounded slices of Nynch and connected-app context, metadata-first. Read-only — never accepts raw SQL.
| Tool | Description |
|---|---|
list_context_sources | List safe read-only context sources available to you |
search_context_sources | Search context sources by natural-language keyword (metadata only) |
describe_context_source | Describe one source: purpose, columns, filters, limits, availability |
list_context_columns | List selectable columns and allowed filters for one source |
query_context | Read a bounded slice from one source via a constrained query object |
| URI Template | Description |
|---|---|
nynch://contacts/{id} | Full contact context: profile, score, interactions, network |
nynch://deals/{id} | Deal context: details, stakeholders, coaching actions |
nynch://pipeline/summary | Pipeline health overview |
Nynch supports multi-agent workflows where AI agents register, share context, and hand off tasks:
Nynch is the AI CRM for consultants and fractionals who win high-value deals based on relationships. It remembers relationship context across email, meetings and LinkedIn, and surfaces it when a conversation is worth having.
This repository (documentation and configuration) is released under the MIT License. The Nynch MCP Server itself is a hosted service — no local installation required.