3,400+ MCP servers ready to use
Vinkius

Zenvia Conversion MCP Server for LangChainGive LangChain instant access to 10 tools to Create Lead, Get Account, Get Prospect, and more

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Zenvia Conversion through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Zenvia Conversion app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "zenvia-conversion": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Zenvia Conversion, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Zenvia Conversion
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 Zenvia Conversion MCP Server

Connect your Zenvia Conversion (formerly Sirena) account to any AI agent to automate your sales and support workflows. Manage leads, send WhatsApp messages, and track interactions through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Zenvia Conversion through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Lead Management — Create and manage leads from multiple sources and track their conversion into prospects.
  • WhatsApp Messaging — Send free-text messages to active conversations or initiate new ones using HSM templates.
  • Team Coordination — List agents, groups, and labels to maintain a clear overview of your team's structure and assignments.
  • Interaction History — View full interaction logs and histories for any prospect to maintain context across your sales pipeline.
  • Workflow Automation — Streamline repetitive tasks like lead creation and follow-ups using natural language commands.

The Zenvia Conversion MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Zenvia Conversion tools available for LangChain

When LangChain connects to Zenvia Conversion through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, lead-management, conversational-sales, 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.

create_lead

You can include contact details and an initial message (comment). Create a new lead in Zenvia Conversion

get_account

Get account information

get_prospect

Get detailed information about a specific prospect

list_agents

List agents in the account

list_groups

List agent groups

list_interactions

List interactions for a prospect

list_labels

List labels

list_prospects

List all prospects in Zenvia Conversion

send_message

Send a message to a prospect

send_template

Send a message template (HSM) to a prospect

Connect Zenvia Conversion to LangChain via MCP

Follow these steps to wire Zenvia Conversion into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 10 tools from Zenvia Conversion via MCP

Why Use LangChain with the Zenvia Conversion MCP Server

LangChain provides unique advantages when paired with Zenvia Conversion through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Zenvia Conversion MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Zenvia Conversion queries for multi-turn workflows

Zenvia Conversion + LangChain Use Cases

Practical scenarios where LangChain combined with the Zenvia Conversion MCP Server delivers measurable value.

01

RAG with live data: combine Zenvia Conversion tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Zenvia Conversion, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Zenvia Conversion tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Zenvia Conversion tool call, measure latency, and optimize your agent's performance

Example Prompts for Zenvia Conversion in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Zenvia Conversion immediately.

01

"List all active prospects in Zenvia Conversion."

02

"Create a new lead for 'Alice' with phone +5511988887777."

Troubleshooting Zenvia Conversion MCP Server with LangChain

Common issues when connecting Zenvia Conversion to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Zenvia Conversion + LangChain FAQ

Common questions about integrating Zenvia Conversion MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.