Zoho Campaign MCP Server for Pydantic AI 13 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Zoho Campaign through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Zoho Campaign "
"(13 tools)."
),
)
result = await agent.run(
"What tools are available in Zoho Campaign?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Zoho Campaign MCP Server
What you can do
Supercharge your email marketing with AI agents controlling Zoho Campaign. Automate your entire workflow:
Pydantic AI validates every Zoho Campaign tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- Create and manage email campaigns with custom subjects, senders, and mailing lists
- Review campaign analytics including opens, clicks, bounces, and unsubscribes
- Build and segment mailing lists for targeted audience reach
- Import and export contacts with bulk add/remove operations
- Track contact engagement and subscription status across all lists
- Monitor blocked contacts to maintain list hygiene and deliverability
The Zoho Campaign MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zoho Campaign to Pydantic AI via MCP
Follow these steps to integrate the Zoho Campaign MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from Zoho Campaign with type-safe schemas
Why Use Pydantic AI with the Zoho Campaign MCP Server
Pydantic AI provides unique advantages when paired with Zoho Campaign through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Zoho Campaign integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Zoho Campaign connection logic from agent behavior for testable, maintainable code
Zoho Campaign + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Zoho Campaign MCP Server delivers measurable value.
Type-safe data pipelines: query Zoho Campaign with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Zoho Campaign tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Zoho Campaign and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Zoho Campaign responses and write comprehensive agent tests
Zoho Campaign MCP Tools for Pydantic AI (13)
These 13 tools become available when you connect Zoho Campaign to Pydantic AI via MCP:
add_contacts_to_list
Each contact requires at minimum an email address. Optionally include first name, last name, phone, company, and custom fields. Contacts must be provided as a JSON array of objects. Returns count of successfully added contacts. Add contacts to a Zoho Campaign mailing list
create_campaign
Requires campaign name, subject line, sender name, sender email, and reply-to email. Optionally set campaign type, template ID, and scheduling. Returns created campaign details including the new campaign key. Create a new email campaign in Zoho Campaign
create_list
Requires list name. Optionally set description and welcome message for new subscribers. Returns the created list details including the new list key needed for adding contacts. Create a new mailing list in Zoho Campaign
get_blocked_contacts
Returns email, reason, and date blocked. Use this to maintain list hygiene and avoid sending to invalid addresses. List blocked/bounced contacts in Zoho Campaign
get_campaign_details
Use this to review full campaign configuration before sending or editing. Get details of a specific Zoho Campaign email
get_campaign_report
Includes metrics: total sent, delivered, bounced, opened, clicked, unsubscribed, spam complaints, and forwarded. Also provides engagement breakdown by contact. Use this to analyze campaign ROI and engagement rates. Get analytics report for a Zoho Campaign
get_campaigns
Returns campaign name, subject line, status, sent date, and basic metrics (sent count, opened, clicked). Use this to review campaign portfolio and performance overview. List all email campaigns in Zoho Campaign
get_contact
Use this to review individual subscriber details before sending targeted campaigns or troubleshooting delivery issues. Get details of a specific Zoho Campaign contact
get_list_contacts
Returns contact email, name, subscription status, added date, and custom fields. Use this to review subscriber base, segment audiences, or verify contacts before sending campaigns. List contacts in a Zoho Campaign mailing list
get_lists
Returns list name, description, contact count, creation date, and status. Mailing lists are used to organize contacts for targeted email campaigns. Use this to review available lists before creating campaigns or adding contacts. List all mailing lists in Zoho Campaign
get_recent_campaigns
Useful for quick review of latest activity. Type can filter by: all, sent, draft, scheduled. Returns basic campaign info including name, subject, status, and date. Get recently created or sent campaigns
remove_contacts_from_list
Requires list key and comma-separated email addresses. Use this to manage unsubscribes, clean up lists, or segment contacts. Returns count of successfully removed contacts. Remove contacts from a Zoho Campaign mailing list
update_contact
Only pass the fields you want to modify. The contact is identified by email address. Returns updated contact data. Update an existing Zoho Campaign contact
Example Prompts for Zoho Campaign in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Zoho Campaign immediately.
"Show me all campaigns sent in the last 30 days with their open rates"
"Create a new campaign called 'Spring Sale 2026' for our newsletter list with subject 'Exclusive Spring Discounts Inside'"
"Add these 50 contacts from my CRM export to the 'Prospects Q2' list"
Troubleshooting Zoho Campaign MCP Server with Pydantic AI
Common issues when connecting Zoho Campaign to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiZoho Campaign + Pydantic AI FAQ
Common questions about integrating Zoho Campaign MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Zoho Campaign with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zoho Campaign to Pydantic AI
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.