Can I see my team's forecast for this quarter?

Yes! Use the `list_clari_forecasts` tool. The agent will return the latest forecast submissions and historical values, allowing you to see the projected revenue for the current fiscal period.

How do I check for recent changes in a specific opportunity?

Use the `list_clari_audit_logs` tool. Your agent will fetch the platform's audit trail, which includes updates to opportunity stages, amounts, and other key revenue metrics.

Where do I find my Clari API Token?

Clari API tokens are typically provided through your Clari Settings page. If you don't see the API section, you may need to contact your Clari account manager or support team to enable Export API access.

Clari MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Clari
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clari through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Clari "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Clari?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Clari MCP Server

Connect your Clari account to any AI agent and take full control of your revenue operations and forecasting through natural conversation. Streamline how you manage your sales pipeline and historical revenue data.

Pydantic AI validates every Clari tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.

What you can do

Opportunity Oversight — List and retrieve details for all CRM opportunities tracked in Clari natively
Forecast Intelligence — Access manual forecast submissions and historical data to understand trends flawlessly
Pipeline Auditing — List and review platform events and audit trail records to track changes securely
Account Visibility — Access CRM accounts associated with revenue data and monitor their status flawlessly
User Logistics — List all users and organization hierarchies to understand team performance securely
Export Intelligence — Monitor the status of asynchronous bulk data export jobs directly within your workspace

The Clari MCP Server exposes 8 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 Clari to Pydantic AI via MCP

Follow these steps to integrate the Clari 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 8 tools from Clari with type-safe schemas

Why Use Pydantic AI with the Clari MCP Server

Pydantic AI provides unique advantages when paired with Clari 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 Clari integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Clari connection logic from agent behavior for testable, maintainable code

Clari + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Clari MCP Server delivers measurable value.

Type-safe data pipelines: query Clari with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Clari tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Clari and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Clari responses and write comprehensive agent tests

Clari MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Clari to Pydantic AI via MCP:

get_opportunity_revenue_details

Get detailed information for a specific opportunity

list_clari_audit_logs

List platform events and audit trail records

list_clari_export_jobs

List status of asynchronous bulk data export jobs

list_clari_forecasts

List manual forecast submissions and historical data

list_clari_time_periods

List active fiscal years, quarters, and months used in Clari

list_clari_users

List all users and hierarchy in the account

list_revenue_accounts

List CRM accounts associated with revenue data

list_revenue_opportunities

List CRM opportunities tracked in Clari

Example Prompts for Clari in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Clari immediately.

"Show me all opportunities worth over $50,000."

"What is our current manual forecast value?"

"Who are the account owners for the 'Top 10' pipeline accounts?"

Troubleshooting Clari MCP Server with Pydantic AI

Common issues when connecting Clari to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Clari + Pydantic AI FAQ

Common questions about integrating Clari MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Clari MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.