MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
B2B lead generation, email verification, company enrichment, and agentic GTM Ops.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http signaliz https://api.signaliz.com/functions/v1/signaliz-mcp --header 'Authorization: Bearer {signaliz_api_key}'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"signaliz": {
"url": "https://api.signaliz.com/functions/v1/signaliz-mcp",
"headers": {
"Authorization": "Bearer {signaliz_api_key}"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"signaliz": {
"type": "http",
"url": "https://api.signaliz.com/functions/v1/signaliz-mcp",
"headers": {
"Authorization": "Bearer {signaliz_api_key}"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 signaliz 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.0.1)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Signaliz is a B2B data quality, enrichment, and agentic GTM platform for go-to-market teams and AI agents. The Signaliz MCP server gives MCP clients access to 60+ Signaliz API capabilities for verified lead generation, email verification, company enrichment, data-quality pipelines, Ops routines, approvals, ICPs, app actions, and workspace controls.
This repository is the public distribution manifest for Signaliz MCP. It contains registry metadata, indexable tool schemas, and setup instructions for MCP directories and clients. The production server is hosted by Signaliz; this repository does not contain the private server implementation.
https://api.signaliz.com/functions/v1/signaliz-mcp
Transport: Streamable HTTP
Authentication: Signaliz API key or OAuth, depending on client support.
Create an API key in Signaliz from Settings > Developer > API Access, then connect your MCP client to:
https://api.signaliz.com/functions/v1/signaliz-mcp?api_key=YOUR_API_KEY
Clients that support headers can connect to the base endpoint and send:
Authorization: Bearer YOUR_API_KEY
Clients that support OAuth discovery can use the protected-resource metadata advertised by the server.
For clients that prefer local stdio MCP servers, install the npm bridge:
claude mcp add signaliz -e SIGNALIZ_API_KEY=sk_your_key -- npx -y @signaliz/mcp-server
Claude Desktop, Cursor, Windsurf, Cline, and other stdio clients can use:
{
"mcpServers": { "signaliz": { "command": "npx", "args": ["-y", "@signaliz/mcp-server"], "env": { "SIGNALIZ_API_KEY": "sk_your_key" } } } }
Signaliz exposes tools for:
Every tool accepts output_format, which can be markdown or json. Use json when another agent, script, or workflow needs structured output.
Signaliz plans include full API and MCP access, unlimited workspaces, unlimited integrations, audit trail and MCP analytics, BYOK OpenRouter support, and all core platform features. Plans differ by included monthly GTM credits, and additional credits can be purchased for metered provider-backed actions such as email verification, person or company discovery, company signal enrichment, monitoring, custom AI prompts, and Lead Finder.
Signaliz is not positioned as unlimited-volume or all-you-can-use data. The product is designed around accuracy, timing, governed workflows, and transparent GTM credit usage.
The full indexable tool schema lives in tools/tools.json. It is generated from the actual @signaliz/mcp-server@2.0.1 tools/list response so directories can index the same names, descriptions, and input schemas exposed by the npm bridge.
| Tool | What it does |
|---|---|
find_contacts_with_email | Finds contacts at a company and returns verified work emails. |
find_emails_with_verification | Finds and verifies one professional email address from a name, company domain, or LinkedIn URL. |
verify_email | Verifies one email address for deliverability. |
enrich_company_signals | Researches a company for structured signals and source-backed developments. |
company_intelligence | Runs AI-powered company research from websites, domains, LinkedIn URLs, and extra URLs. |
execute_primitive | Runs small synchronous jobs for email verification, email finding, signal enrichment, custom AI prompts, data cleaning, or HTTP requests. |
generic_http_request | Executes one custom HTTP request with headers, auth, body templates, variables, timeout, and response extraction. |
custom_ai_prompt | Runs a custom AI prompt over records with model selection, structured output, and optional Signaliz AI Search context. |
| Tool | What it does |
|---|---|
find_and_verify_emails | Finds and verifies emails for up to 5,000 contacts asynchronously. |
verify_emails | Verifies up to 5,000 emails asynchronously. |
enrich_company_signals_batch | Enriches signals for up to 5,000 companies asynchronously. |
batch_http_request | Executes up to 5,000 HTTP requests asynchronously. |
check_job_status | Polls async jobs, reports progress, and retrieves paginated results. |
Batch tools return a job_id immediately. Poll with check_job_status, or pass callback_url and optional callback_secret on supported batch tools to receive a completion webhook.
| Tool | What it does |
|---|---|
generate_leads | Finds B2B professionals with company data and verified emails for outreach-ready lead lists. |
generate_local_leads | Finds local businesses and verified contact emails from Google Maps-style local search. |
find_people_blitz | Finds professional profiles without verified emails for research and list building. |
find_companies_blitz | Finds company records for account discovery, market sizing, and TAM research. |
| Tool | What it does |
|---|---|
list_capabilities | Lists available Signaliz capabilities, schemas, categories, and credit costs. |
upload_data | Uploads inline records, public CSV URLs, Google Sheets URLs, or Google Drive share URLs as workspace lists. |
list_systems | Lists saved Signaliz automation systems in the workspace. |
get_system | Gets a saved system's phases, required inputs, and configuration. |
create_system | Creates a saved automation system from a plain-English description. |
run_system | Runs a saved system using inline data, a saved list, the latest workspace list, or prior run data. |
get_run | Gets one system run's status and results. |
list_runs | Lists recent system runs with status, timing, and summaries. |
| Tool | What it does |
|---|---|
create_routine | Creates a goal-driven Ops Routine with cadence, policy guardrails, wake events, and output sinks. |
list_routines | Lists Ops Routines by status. |
get_routine | Gets full routine details, policy, sinks, recent ticks, and outcomes. |
update_routine | Updates routine name, goal, cadence, status, policy, sinks, or wake events. |
run_routine_now | Triggers an Ops Routine immediately with an optional one-off instruction. |
delete_routine | Soft-archives or permanently deletes a routine after confirmation. |
get_routine_ticks | Lists historical routine ticks with status, record counts, credits, and errors. |
get_tick_items | Fetches records produced by a specific tick. |
get_last_tick_items | Fetches records from the latest successful tick. |
get_routine_results | Agent-friendly helper that combines routine metadata with latest produced items. |
agent_workflow | Creates, activates, triggers, optionally waits for, and optionally cleans up a one-shot Ops Routine. |
stream_routine_results | Returns an SSE endpoint for real-time item events from a running routine tick. |
chain_routines | Chains two routines so upstream output feeds downstream seed items. |
get_chain_status | Shows chained routine execution status and per-stage item counts. |
emit_event | Emits an event that can wake routines subscribed through wake_on_events. |
| Tool | What it does |
|---|---|
approvals_list | Lists pending, approved, or rejected human-in-the-loop approvals. |
approvals_decide | Approves or rejects one or more pending approval tokens. |
set_item_feedback | Stores feedback on a produced lead or item so future routine ticks can improve. |
| Tool | What it does |
|---|---|
list_connections | Lists active app connections in the workspace. |
list_available_connectors | Lists available connectors across CRM, marketing, communication, productivity, analytics, development, support, finance, HR, ecommerce, email, and sales. |
list_connectors | Legacy alias for available connector listing. |
connect_app | Starts the app connection flow and returns authentication instructions. |
discover_actions | Lists available entities and actions for a connected app. |
execute_connection_action | Executes read or write actions against a connected app. |
list_connection_audit_log | Shows connection lifecycle events, tests, and errors for debugging. |
| Tool | What it does |
|---|---|
quickstart_gtm_book | Launches a coordinated GTM Campaign Book made of multiple Ops Routines. |
list_books | Lists GTM Campaign Books in the workspace. |
book_roll_up | Gets aggregate performance metrics across a campaign book. |
list_icps | Lists Ideal Customer Profiles and optional Octave import context. |
get_icp | Gets full ICP details, criteria, pain points, triggers, titles, departments, geography, and related playbook data. |
import_icps_from_octave | Imports Octave playbooks as Signaliz ICPs. |
| Tool | What it does |
|---|---|
budget_get_status | Gets current credit balance, spend rate, limits, and projected runway. |
budget_set_limit | Sets daily, monthly, or system-specific credit limits and alert thresholds. |
manage_blocklist | Adds, removes, or lists suppressed domains and emails. |
write_agent_memory | Stores durable agent memory for future sessions. |
query_agent_memory | Searches stored agent memories with semantic retrieval. |
list_output_sinks | Deprecated compatibility tool; Signaliz now returns JSON, CSV artifacts, and webhooks. |
server.jsonsmithery.config-schema.jsonglama.jsondocs/authentication.mdRead-only enrichment and discovery tools do not mutate your external systems. Tools that upload data, create or run systems, connect apps, execute app actions, update blocklists, approve work, or delete routines can change Signaliz workspace resources or connected systems and should be used with your normal approval controls.
io.github.signaliz/signaliz-mcp