Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Close CRM in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Drive Close (sales-team CRM) from any AI agent: leads, contacts, opportunities, activities (calls/emails/SMS/notes), tasks, smart views and custom fields. 16 tools, API-key Basic-auth.
Frag einfach
Beispiel-Prompts für Close CRM
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Close CRM klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Close CRM + Gemini
Drive Close (sales-team CRM) from any AI agent: leads, contacts, opportunities, activities (calls/emails/SMS/notes), tasks, smart views and custom fields. 16 tools, API-key Basic-auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
CLOSE_API_KEY
Schritt 1 — Zugangsdaten holen
close.com).
Setup:
- Sign in to Close → top-right avatar → Settings → Developer → API Keys → New API Key.
- Name it ('AnythingMCP'), copy the key (starts with
api_). SetCLOSE_API_KEY.
Authentication: HTTP Basic auth with username=API_KEY and password empty. The adapter passes Authorization: Basic base64(API_KEY:). Same as Stripe's auth model.
…(continued in the in-app connector instructions)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Close CRMsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
close_get_me | Return the user the API key belongs to plus the organization context (id, name, plan, addresses) |
close_list_leads | List leads (companies) with optional query filter and pagination |
close_get_lead | Fetch one lead by ID |
close_create_lead | Create a new lead (company) |
close_update_lead | Partial-update a lead |
close_list_contacts | List contacts (people) — typically scoped to a lead via the lead_id query param |
close_create_contact | Create a contact on a lead |
close_list_opportunities | List opportunities (deals) |
close_create_opportunity | Create an opportunity (deal) |
close_update_opportunity | Update an opportunity |
close_create_note_activity | Log a free-text note on a lead (timeline) |
close_list_activities | List activities (timeline events) — call, email, sms, note, meeting, etc |
close_create_task | Create a task on a lead |
close_list_lead_statuses | List the lead status values configured on the organization (e |
close_list_opportunity_statuses | List the opportunity (pipeline stage) status values — typically active stages + won/lost terminal states |
close_list_lead_custom_fields | List the custom fields defined on leads with their IDs (cf_XYZ), types, and pick-list options |
FAQ
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
War dieser Guide hilfreich?
