How to Use the Zoho CRM Marketing MCP in Pydantic AI
Execute validated marketing automation actions with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zoho CRM Marketing MCP to Pydantic AI
Create your Vinkius account to connect Zoho CRM Marketing to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Gather Qualified Leads and Contacts
Need to know who's ready for a pitch? `zoho_campaign_contacts` returns verified names, emails, accounts, and status. The agent can use this data immediately for re-targeting lists. If you just need lead volume metrics, run `zoho_campaign_leads`. This pulls all leads tied to an effort, giving your agent solid attribution data on which campaigns convert people.
Create and Retrieve Campaign Details
Set up a new promotion by calling `zoho_create_campaign`. You supply the name, type (Conference, Email, etc.), dates, budgeted cost, and status. The agent ensures all fields are present. After creation or discovery, you get full details using `zoho_get_campaign`. This returns every metric—from expected response rates to actual costs—and validates it against its model.
Search and List Campaign Statuses
To review all marketing activity, run `zoho_list_campaigns`. It provides a clean list of campaigns with type, status, budget, and dates. Want to pinpoint one campaign? The agent uses `zoho_search_campaigns` by name or keyword. This returns matching records along with their current status and financial figures.
Set up Zoho CRM Marketing MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"zoho-crm-marketing-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Zoho CRM Marketing tools.",
)
result = await agent.run("List recent Zoho CRM Marketing transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho CRM. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Zoho CRM Marketing MCP in Pydantic AI
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