MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Human-in-the-loop LinkedIn outreach and a built-in sales CRM for AI agents. Safety-gated, anti-spam.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
x-mcp-api-keyAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.
Führe das in deinem Terminal aus
claude mcp add --transport http linkedin https://app.salesbot.cz/api/mcp --header 'x-mcp-api-key: your-value'Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"linkedin": {
"url": "https://app.salesbot.cz/api/mcp",
"headers": {
"x-mcp-api-key": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"linkedin": {
"type": "http",
"url": "https://app.salesbot.cz/api/mcp",
"headers": {
"x-mcp-api-key": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
x-mcp-api-key geheim erforderlich HTTP headerDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde über die Domain salesbot.cz bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: x-mcp-api-key
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.0) kam vor 5 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
What is this?
linkedin-mcp-server-salesbotis a Model Context Protocol - MCP server for AI‑assisted LinkedIn relationship operations. It lets AI assistants — Claude Desktop, ChatGPT, Cursor — help you research and organize professional contacts, draft deeply personalized messages for your review and approval, sync inbox conversations, enrich profiles, and pull web context — all under your direction. It's built for hyper‑targeted, meaningful outreach (find 5 ideal contacts, read their recent posts, write 5 thoughtful notes), not bulk blasting. Every send is gated by human‑in‑the‑loop approval and enforced, server‑side daily/hourly safety thresholds that keep your LinkedIn account within safe limits.
It runs as a hosted service at app.salesbot.cz and speaks the MCP Streamable HTTP transport. Users sign in with OAuth 2.1 (or use an API key in clients that cannot sign in). LinkedIn actions go through a third‑party LinkedIn integration provider; LinkedIn credentials are never stored by the AI.
Product page and documentation: https://salesbot.cz/en/mcp-server
| Endpoint | https://app.salesbot.cz/api/mcp |
| Transport | MCP Streamable HTTP (POST + SSE) |
| Auth | OAuth 2.1 sign-in, or x-mcp-api-key: sb_mcp_… header |
| Tool count | 82 |
| License | MIT |
The server supports OAuth 2.1, so no key needs to be copied:
Salesbot, URL https://app.salesbot.cz/api/mcp → *Continue* → authentication *Sign in now* (keep the recommended OAuth client; if sign-in fails choose *Register automatically*) → *Add*. Sign in to Salesbot and allow access on the consent page, then switch Salesbot on under *+ → Connectors* in a chat. On Team/Enterprise an owner adds it first (*Organization settings → Connectors → Add → Custom → Web*) and members click *Connect*.salesbot-outreach, salesbot-campaign and salesbot-email):claude plugin marketplace add Kubis010/linkedin-mcp-server-salesbot
claude plugin install salesbot@salesbot
Then start claude, run /mcp, select the Salesbot server and sign in.
To update later, refresh the marketplace first (otherwise the old version is reported as current):
claude plugin marketplace update salesbot
claude plugin update salesbot@salesbot
You can see and remove connected apps in the Salesbot app under Settings → MCP → Connected apps. The plugin contains no code that runs on your machine; it only talks to https://app.salesbot.cz/api/mcp.
For a private ChatGPT connection, open Plugins on chatgpt.com (chatgpt.com/plugins) → + → *Add custom MCP server*, enter the name *Salesbot*, the server URL https://app.salesbot.cz/api/mcp and choose OAuth. Confirm the warning, choose *Create as a plugin*, complete Salesbot consent in the browser, install the plugin and call it in a chat with @Salesbot. Availability depends on your ChatGPT plan and workspace settings. The discovery endpoints are available, but end-to-end ChatGPT sign-in has not yet been verified by this repository's readiness check.
The portable OpenAI package is defined by plugin.json and mcp.json; it reuses the existing workflows and logo without changing the Claude package. It is a submission candidate, not an approved public listing. See the OpenAI readiness and submission checklist for tests, review-account requirements and the third-party integration policy gate.
Clients that cannot sign in can use an API key, see below.
https://app.salesbot.cz/api/mcp (Salesbot, operated by Sales Robots s.r.o.). Sign-in uses OAuth 2.1 on app.salesbot.cz.Add this to your MCP client config. Get the sb_mcp_… key in the Salesbot app under Settings → MCP.
{
"mcpServers": { "linkedin-automation": { "url": "https://app.salesbot.cz/api/mcp", "headers": { "x-mcp-api-key": "sb_mcp_YOUR_API_KEY", "Accept": "application/json, text/event-stream" } } } }
Important: send the API key in the `x-mcp-api-key` header, not
Authorization: Bearer;Authorizationis reserved for OAuth access tokens.
401 with WWW-Authenticate: Bearer resource_metadata="https://app.salesbot.cz/.well-known/oauth-protected-resource"; clients discover the authorization server from there. The access token goes in Authorization: Bearer.sb_mcp_…) — long‑lived; generated in the Salesbot app, stored only as a SHA‑256 hash. Send in x-mcp-api-key.The AI can do it without leaving the chat:
get_linkedin_status — reports whether LinkedIn is connected/active/blocked.connect_linkedin — returns a white‑labeled https://auth.salesbot.cz/… link. The user opens it, completes LinkedIn login, done.Or connect in the app: Settings → LinkedIn → Connect.
Each tool returns text content; errors return { "ok": false, "code": " ", "error": " " }.
Why 82 tools. Salesbot covers LinkedIn outreach, e-mail and a CRM, and each tool does exactly one thing. The tools are grouped into the areas below, and a client only needs the area it is working in (Claude can load tools on demand). Every tool description starts with when to use it and names the tool to use instead where two are easy to confuse (for example search_linkedin_people vs search_linkedin_navigator, or upsert_linkedin_contact vs add_crm_contact). Read-only tools are kept separate from write and delete tools, so clients can show correct read-only and destructive hints and ask for approval only where it matters. The salesbot_campaign_operator prompt contains the same map.
| Area | Tools |
|---|---|
| Connection and limits | 4 |
| Lead discovery (LinkedIn, Google, jobs, web) | 7 |
| Contacts and lead lists | 11 |
| Campaigns and messaging | 16 |
| Direct LinkedIn actions and inbox | 7 |
| 5 | |
| CRM people, tasks and notes | 12 |
| CRM companies | 11 |
| CRM setup, export, blacklist | 9 |
{ "name": "get_linkedin_status", "input": { "profile_id": "uuid (optional)" } }
{ "name": "connect_linkedin", "input": { "profile_id": "uuid (optional)", "reconnect": "boolean (optional)" } }
{ "name": "search_linkedin_people", "input": { "title": "string (required)", "location": "string", "locationId": "string", "network": "['S'|'O']", "limit": "number 1-50" } }
{ "name": "search_google_xray", "input": { "jobTitle": "string (required)", "location": "string", "keywords": "string[]", "excludeWords": "string[]", "limit": "number 1-100" } } { "name": "search_linkedin_navigator", "input": { "search_url": "string (required)", "limit": "number 1-100" } } { "name": "import_linkedin_company_list", "input": { "search_url": "string (required)", "list_name": "string (required)", "limit": "number", "cursor": "string", "save_to_crm": "boolean" } } { "name": "list_company_lists", "input": {} } { "name": "list_companies", "input": { "company_list_id": "uuid (required)", "limit": "number", "offset": "number", "query": "string" } } { "name": "update_company_research", "input": { "prospect_company_id": "uuid (required)", "web_research": "string (required)", "website": "string", "domain": "string", "research_urls": "string[]" } } { "name": "search_job_postings", "input": { "keywords": "string (required)", "location": "string", "locationId": "string", "seniority": "string[]", "job_type": "string[]", "presence": "string[]", "date_posted": "number", "easy_apply": "boolean", "limit": "number 1-50" } } { "name": "search_web", "input": { "query": "string (required)", "limit": "number 1-30", "country": "string (default cz)", "language": "string (default cs)" } } { "name": "read_company_website", "input": { "url": "string (required)", "extra_urls": "string[] (max 3, same domain)" } } { "name": "get_job_posting_details", "input": { "job_id": "string (required)" } }
`search_google_xray` saves the profiles it finds into a "Google X-Ray" contact list (deduplicated) and returns their `contact_id`s — ready to enrich, add to a campaign, or push into the CRM.
search_job_postings searches LinkedIn job postings via the connected account (Classic search, no Recruiter needed). Returns job offers with company info — great for finding companies actively hiring for a specific role. Combine with search_linkedin_people to find the hiring manager.
search_web is a general-purpose Google search (not restricted to LinkedIn). Use Google operators like site:jobs.cz, intitle:, OR to search job portals, company websites, or news. Results are NOT saved to contacts — this is a research/discovery tool.
read_company_website reads a company's own public website – the homepage plus up to 3 contact/about/services pages on the same host – and returns a short extract with source URLs and generic company e-mails (info@, sales@ …); personal e-mails and phone numbers are masked and no employee lists are collected. It identifies as SalesbotBot, honours robots.txt (and does not read a site whose robots.txt cannot be checked), noindex/noai and TDM reservations, reads only public addresses, stops at logins, CAPTCHAs and paywalls, and is limited to 60 reads per account per day. Nothing is stored; save the summary with update_company_research. A found address is not consent to contact. Rules: salesbot.cz/en/terms#website-reading.
get_job_posting_details takes a job_id from search_job_postings and returns the full posting — most importantly hiring_team, the recruiter or hiring manager who posted the role, with their LinkedIn id and whether a free InMail is available. Also returns applicants_counter / views_counter as urgency signals. Typical flow: search_job_postings → get_job_posting_details → enrich_contacts → campaign.
Company/account-list workflow: import_linkedin_company_list → list_companies → search_web → update_company_research → search_linkedin_people → upsert_linkedin_contact with the returned prospect_company_id. Companies are stored separately from people and can enter CRM before a decision-maker is known.
{ "name": "upsert_linkedin_contact", "input": { "profile_url": "string (required)", "full_name": "string", "companNur der Anfang wird gezeigt; den Rest findest du im Repo