3,400+ MCP servers ready to use
Vinkius

Bring Whatsapp Api
to LangChain

Learn how to connect Zenvia Conversion to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create LeadGet AccountGet ProspectList AgentsList GroupsList InteractionsList LabelsList ProspectsSend MessageSend Template

What is the 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.

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.

How it works

1. Subscribe to this server
2. Enter your Zenvia Conversion API Key (from API Access app)
3. Start managing your sales conversations from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Teams — manage leads and WhatsApp conversations more efficiently without switching apps.
  • Support Agents — quickly respond to customer queries and track interaction history.
  • Marketing Managers — monitor lead acquisition and conversion rates across different groups and agents.

Built-in capabilities (10)

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

Why LangChain?

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.

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

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

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

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

See it in action

Zenvia Conversion in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Zenvia Conversion and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Zenvia Conversion to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Zenvia Conversion in LangChain

The Zenvia Conversion 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Zenvia Conversion for LangChain

Every tool call from LangChain to the Zenvia Conversion MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

What is the difference between a Lead and a Prospect?

In Zenvia Conversion, a Lead is an initial contact entry. Once a lead is processed or created via the API, it becomes a Prospect in your CRM pipeline.

02

Can I start a WhatsApp conversation with a new number?

Yes, but you must use an approved HSM template to initiate a new conversation. Free-text messages can only be sent to active conversations within the 24-hour window.

03

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.

04

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.

05

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.

06

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters