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Berg System CRM MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create New Company, Create New Customer, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The Berg System CRM app connector for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Berg System CRM "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Berg System CRM
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Berg System CRM MCP Server

Connect your Berg System account to any AI agent and take full control of your insurance agency operations and customer relationship workflows through natural conversation.

Pydantic AI validates every Berg System CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • Customer Orchestration — List and search through individual and corporate client directories programmatically, retrieving detailed high-fidelity profile metadata and contact history
  • Sales Pipeline Intelligence — Monitor sales opportunities and track deal progress across your entire agency to maintain a perfectly coordinated sales cycle
  • Insurance Policy Monitoring — Retrieve active insurance policies and access high-fidelity document metadata directly through your agent to oversee coverage status
  • Infrastructure Monitoring — Access system employee lists and manage CRM-related tasks programmatically for instant operational reporting
  • Relationship Intelligence — Retrieve complete historical interactions for any record to maintain high-fidelity oversight of your agency's relationship ecosystem

The Berg System CRM MCP Server exposes 12 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.

All 12 Berg System CRM tools available for Pydantic AI

When Pydantic AI connects to Berg System CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning policy-management, client-tracking, sales-pipeline, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify Berg System API status

create_new_company

Add a new business client

create_new_customer

Supports forceAdd to bypass duplicates. Add a new customer

get_customer_details

Get details for a customer

get_sales_custom_fields

Retrieve custom sales fields

list_crm_companies

List corporate clients

list_crm_customers

List CRM customers

list_crm_tasks

List active tasks and reminders

list_insurance_policies

List active insurance policies

list_sales_opportunities

List sales records

list_stored_documents

List uploaded documents

list_system_employees

List organization employees

Connect Berg System CRM to Pydantic AI via MCP

Follow these steps to wire Berg System CRM into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Berg System CRM with type-safe schemas

Why Use Pydantic AI with the Berg System CRM MCP Server

Pydantic AI provides unique advantages when paired with Berg System CRM through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Berg System CRM integration code

03

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

04

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

Berg System CRM + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Berg System CRM MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Berg System CRM in Pydantic AI

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

01

"List all active insurance policies for client 'John Doe'."

02

"Show my recent sales opportunities in Berg System."

03

"Create a new lead for 'Alice Smith' (alice@example.com) interested in 'Life Insurance'."

Troubleshooting Berg System CRM MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Berg System CRM + Pydantic AI FAQ

Common questions about integrating Berg System CRM MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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