How to Use the Zoho CRM Analytics MCP in Pydantic AI

Q: What fields are available on a module using Zoho CRM Analytics and Pydantic AI?

You get all field properties via zohomodulefields. It details the name, display label, data type, and whether the field is mandatory or read-only.

Q: How do I know what modules are in the system using Zoho CRM Analytics and Pydantic AI?

The zoholistmodules tool provides a list of all available modules, including their API support status. This is crucial for building robust, type-checked code.

Q: What are the steps in my sales process using Zoho CRM Analytics and Pydantic AI?

The zoholistpipelines tool lists all deal pipelines. It provides stage names, IDs, and associated win probabilities, giving you a clear operational view.

Q: What is the organization’s currency using Zoho CRM Analytics and Pydantic AI?

The zohoorginfo tool fetches account-level details, including the default timezone, primary currency, and which edition of Zoho CRM you're on.

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Connect Zoho CRM Analytics MCP to Pydantic AI

Create your Vinkius account to connect Zoho CRM Analytics 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.

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Setup Zoho CRM Analytics with Pydantic AI

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Schema Validation with MCP Server

The `zoho_module_fields` tool returns all properties on a module, detailing their data type (text/number/picklist) and validation rules. If your agent tries to write bad data, Pydantic ensures the failure is explicit—no silent corruption. This level of schema detail makes your production models rock solid.

Verifying Data Model Consistency

Use `zoho_list_modules` to get a definitive, typed list of all available modules. This lets your agent know exactly which data containers exist before attempting any read or write operation. Knowing the module API name upfront prevents runtime errors.

Analyzing Business Processes

The `zoho_list_pipelines` tool provides structured access to your sales process. It returns stages, IDs, and win probabilities for dealing modules. This structure allows your agent to validate complex business state changes. It moves the operation beyond simple data updates.

Setup guide

Set up Zoho CRM Analytics 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "zoho-crm-analytics-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 Analytics tools.",
)

result = await agent.run("List recent Zoho CRM Analytics transactions")
print(result.output)

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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 Analytics MCP in Pydantic AI

You get all field properties via `zoho_module_fields`. It details the name, display label, data type, and whether the field is mandatory or read-only.

The `zoho_list_modules` tool provides a list of all available modules, including their API support status. This is crucial for building robust, type-checked code.

The `zoho_list_pipelines` tool lists all deal pipelines. It provides stage names, IDs, and associated win probabilities, giving you a clear operational view.

The `zoho_org_info` tool fetches account-level details, including the default timezone, primary currency, and which edition of Zoho CRM you're on.

It handles metadata and organizational configuration details. This includes module schemas, view definitions, and account-level settings needed to validate types and structures.

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