How to Use the Funil de Vendas MCP in LangChain

Q: How do I connect Funil de Vendas to LangChain?

Install langchain-mcp-adapters. Initialize a MultiServerMCPClient pointing to the server URL, then pass the output of client.gettools() to your ReAct agent.

Q: Can LangChain agents update Funil de Vendas deal stages automatically?

Yes. The agent reads the current stage using getopportunity and applies your custom logic. It then calls updateopportunity to move the deal forward.

Q: Does the Funil de Vendas LangChain integration support custom fields?

The server exposes listcustomfields. Your agent maps incoming data to these specific fields before triggering creation endpoints.

Build ReAct agents in LangChain that manage your Funil de Vendas sales pipeline natively.

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Connect Funil de Vendas MCP to LangChain

Create your Vinkius account to connect Funil de Vendas 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.

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Setup Funil de Vendas with LangChain

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Chain Deal Progression in LangChain

This MCP server wires your LangChain agents straight into your Funil de Vendas pipeline. You build multi-step reasoning chains where the output of `list_opportunities` feeds directly into the input parameters for `update_opportunity`. Your agent retrieves custom pipeline stages using `list_funnels`. It then reads the current deal status via `get_opportunity` and decides whether to advance the deal based on your custom logic. LangSmith logs the exact latency and token usage for every API call.

Map External Lead Data

ReAct agents shine when they connect multiple data sources to Funil de Vendas. The agent parses incoming emails, extracts the contact details, and executes `create_person` to build the profile in your CRM. If the contact belongs to a new enterprise, the agent immediately fires `create_company` and links the records. You handle the entire lead capture sequence without writing separate integration code for each step.

Query Sales Metrics via MCP Server

LangChain gives you full observability over how your agent interacts with `get_people_stats`. You track exactly what data the agent requested and how it formatted the output for your weekly sales reports. When management asks for account metadata, the agent pulls `get_account_info` and `list_custom_fields`. It formats the raw CRM data into a structured summary, passing it to the next link in your analytics chain.

Setup guide

Set up Funil de Vendas 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 Funil de Vendas 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({
    "funil-de-vendas-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 Funil de Vendas 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 Funil de Vendas. 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 Funil de Vendas MCP in LangChain

Install `langchain-mcp-adapters`. Initialize a `MultiServerMCPClient` pointing to the server URL, then pass the output of `client.get_tools()` to your ReAct agent.

Yes. The agent reads the current stage using `get_opportunity` and applies your custom logic. It then calls `update_opportunity` to move the deal forward.

The server exposes `list_custom_fields`. Your agent maps incoming data to these specific fields before triggering creation endpoints.

Use LangSmith. It traces every tool invocation, showing you the exact payload sent to `create_opportunity` and the latency of the response.

Your agent accesses pipeline records and contact details strictly during runtime execution. The protocol ensures data flows directly between the Funil de Vendas API and your local LangChain environment without passing through third-party storage.

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