Build a Pipedrive MCP Server with Google Gemini AI — n8n Workflow

Hoch Komplexität Auslöser25 Knoten AI👁 886 Aufrufevon Aitor | 1Node

Übersicht

This n8n workflow leverages the power of AI and automation to streamline Pipedrive's CRM operations using natural language commands. It allows you to interact with your Deals, Leads, Persons, and Organizations simply by sending a message.

How it Works The workflow initiates the process by sending the incoming message to an AI Agent. The AI Agent is powered by Google Gemini Chat Model and utilizing n8n's Simple Memory to maintain context, interprets the natural language command. Based on the int

Verwendete Knoten

GmailAI AgentSimple MemoryGoogle Gemini Chat ModelMCP Client Tool

Workflow-Vorschau

Deals
Leads
Persons
Organizations
Customize output
Set your email in the "To" field to receive the executi
Change the output workflow by plugging your desired too
Overview
The following workflow and AI agent allows you to inter
MCP Client
Paste the MCP URL from the MCP Server Trigger node belo
tooltooltooltooltooltooltooltoolmemorytooltooltooltooltooltooltooltooltooltoolmodeltool
O
On new message
AI Agent
Simple Memory
Google Gemini Chat Model
MCP Client
M
MCP Server Trigger
C
Create Organization Deal
C
Create Person Deal
U
Update Deal
S
Search & Return Deals
C
Create Person Lead
G
Get Lead
G
Get Deal
U
Update Lead
R
Return Many Leads
C
Create Person
G
Get Person
S
Search Person
U
Update Person
C
Create Organization
G
Get Organization Data
S
Search & Return Organiza…
U
Update an Organization
C
Create Organization Lead
Send summary
25 nodes23 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem auslöser-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 25 Knoten, connecting agent, gmail, lmchatgooglegemini.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (25)

GM

Gmail

gmail

#1
AI

AI Agent

n8n-nodes-langchain.agent

#2
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#3
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#4
MC

MCP Client Tool

n8n-nodes-langchain.mcpClientTool

#5

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei build-a-pipedrive-mcp-server-with-google-gemini-ai und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Build a Pipedrive MCP Server with Google Gemini AI", "nodes": [...], ...}

Integrationen

agentgmaillmchatgooglegeminimcpclienttoolmcptriggermemorybufferwindowpipedrivetooltelegramtrigger

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten25
Komplexitäthigh
Auslösertrigger
Aufrufe886
KategorieAI

Erstellt von

Aitor | 1Node

Aitor | 1Node

@aitoralonso

Tags

agentgmaillmchatgooglegeminimcpclienttoolmcptriggermemorybufferwindowpipedrivetooltelegramtrigger

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