How to Use the Berg System CRM MCP in LangChain

Chain Berg System CRM data directly into your LangChain agents to automate complex sales workflows without the manual overhead.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Berg System CRM MCP to LangChain

Create your Vinkius account to connect Berg System CRM to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Berg System CRM with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain CRM actions in LangChain

Feed `list_sales_opportunities` results directly into your next agent step to prioritize your pipeline. Your chain handles the logic while the server keeps the data moving. Use `create_new_customer` to act on lead information as soon as your agent identifies a qualified prospect. You keep the context flowing through your entire sequence.

Track Berg System CRM via LangSmith

Watch every `get_customer_details` call inside your LangSmith traces to debug your agent's reasoning. You see exactly what the model saw before it made a decision. Monitor latency and token usage for every tool interaction. You know the cost of your automation down to the individual request.

Manage tasks with an MCP Server

Pull `list_crm_tasks` into your agent memory to ensure no follow-up gets missed. Your agent reads the list and sets priorities based on your specific client needs. Execute `check_api_health` at the start of your chain to catch downtime early. You avoid broken pipelines by verifying connectivity before running heavy operations.

Setup guide

Set up Berg System CRM MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Berg System CRM tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "berg-system-crm-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Berg System CRM transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Berg System. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Berg System CRM now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Berg System CRM MCP in LangChain

Install the MCP adapters and point your client to the server URL. You pass the tool list directly into your agent constructor to enable the integration.

Yes, you can chain multiple tools together. The output of one call feeds into the next, letting your agent perform multi-step operations.

By default, the server is stateless. Use the client session to maintain context if your agent needs to remember previous interactions throughout a conversation.

Everything flows through standard tracing. You can view input and output payloads in your dashboard for every call made to the CRM.

The server uses token-based auth to protect your insurance policies and customer records. No data is stored on the Vinkius platform after the ephemeral session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript