zapier MCP server

[fukurou]

Here’s a clean Python walkthrough to connect your AI agent to Zapier MCP—no spaghetti, just the essentials. This setup lets your agent call real-world actions like checking rain alerts, sending emails, or posting to Slack using natural language.

---

Prerequisites​

• Python 3.8+
• Node.js (for Zapier MCP server, if self-hosted)
• A Zapier account with Zapier MCP access
• An AI agent framework (e.g. LangChain, Claude, Cursor, Windsurf)

---

Step-by-Step Python Setup​

1. Install MCP Client SDK​

pip install "mcp[cli]" httpx


This gives you access to MCPClient and CLI tools.

---

2. Create a Config File​

Create zapier_mcp.json:

{
  "mcpServers": {
    "zapier": {
      "remote": "https://actions.zapier.com/mcp/YOUR_UNIQUE_ID"
    }
  }
}

Replace YOUR_UNIQUE_ID with your actual Zapier MCP endpoint from your dashboard.

---

3. Connect AI Agent to MCP​

Here’s a minimal agent using LangChain + MCP:

from mcpus import MCPClient, MCPAgent
from langchain_openai import ChatOpenAI

# Load MCP config
client = MCPClient("zapier_mcp.json")

# Set up your LLM
llm = ChatOpenAI(model="gpt-4o", temperature=0.5)

# Create MCP-enabled agent
agent = MCPAgent(llm=llm, client=client)

# Run a natural language query
response = agent.run("Check rain alerts for Tokyo")
print(response)

---

4. Enable Actions in Zapier MCP​

In your Zapier MCP dashboard:

• Click + Add Tool
• Choose an app (e.g. Weather, Gmail, Slack)
• Select an action (e.g. “Get Weather Alerts”)
• Configure inputs (e.g. location, severity)
• Save and test

---

Example Output​

[
  {
    "event": "Heavy Rain Warning",
    "severity": "Severe",
    "description": "Rainfall expected to exceed 80mm/h in Tokyo...",
    "instruction": "Avoid low-lying areas and stay indoors."
  }
]

Your AI agent will reply:

“ Heavy rain warning in Tokyo. Stay indoors and avoid low-lying areas.”

---

Want to add voice input or Arduino control next? I can show you how to absorb those into this setup too.

 

[fukurou]

 

[fukurou]

https://mcp.so/servers

 

[fukurou]

Step-by-Step: Direct MCP Tool Call with String Output

1. Install the MCP SDK​

pip install "mcp[cli]" httpx

---

2. Create Your Config File​

Save this as zapier_mcp.json:

{
  "mcpServers": {
    "zapier": {
      "remote": "https://actions.zapier.com/mcp/YOUR_UNIQUE_ID"
    }
  }
}

Replace YOUR_UNIQUE_ID with your actual Zapier MCP endpoint.(from https://zapier.com/)

---

3. Python Script to Call Tool and Convert Response to String​

from mcpus import MCPClient
import json

# Load MCP config
client = MCPClient("zapier_mcp.json")

# Call the tool directly
response = client.call_tool("get_weather_by_city", {
    "city": "Tokyo",
    "units": "metric"
})

# Convert JSON response to a formatted string
response_str = json.dumps(response, indent=2)

print(response_str)

This uses json.dumps() to serialize the response into a readable string format.

---

Output Example​

{
  "event": "Heavy Rain Warning",
  "severity": "Severe",
  "description": "Rainfall expected to exceed 80mm/h in Tokyo...",
  "instruction": "Avoid low-lying areas and stay indoors."
}

Now it's a proper string—easy to log, send, or narrate.