3,400+ MCP servers ready to use
Vinkius

Bring Voice Ai
to LangChain

Learn how to connect Retell AI to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Voice AgentGet Agent ConfigGet Call DetailsGet Llm DetailsGet Phone NumberList Recent CallsList Retell LlmsList Retell NumbersList Voice AgentsStart Phone CallStart Web Call
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Retell AI MCP Server?

Connect your Retell AI account to any AI agent and take full control of your conversational voice orchestration through natural conversation. Retell AI provides a premier platform for building human-like voice agents, and this integration allows you to create agents, initiate phone or web calls, and monitor LLM configurations directly from your chat interface.

What you can do

  • Agent & Persona Orchestration — List all managed voice agents and retrieve detailed persona metadata, including creating new agents programmatically.
  • Call Lifecycle Management — Initiate and monitor real-time phone or web calls and retrieve detailed call metadata including recordings and transcripts directly from the AI interface.
  • LLM & Brain Control — Access and monitor your Retell LLM configurations to ensure your agents always have the correct logic and knowledge via natural language.
  • Phone Number Intelligence — List available phone numbers to maintain a clear overview of your telephony infrastructure.
  • Operational Monitoring — Track system responses and manage agent settings using simple AI commands to ensure your voice operations are always optimized.

How it works

1. Subscribe to this server
2. Enter your Retell AI API Key from your dashboard settings
3. Start managing your voice agents from Claude, Cursor, or any MCP-compatible client

No more manual call logs or complex agent configuration. Your AI acts as a dedicated voice operations manager or AI lead.

Who is this for?

  • AI Developers & Product Managers — quickly retrieve call details and monitor agent performance without switching apps.
  • Customer Support Operations — automate the management of voice personas and track call history via natural conversation.
  • Operations Teams — streamline the retrieval of agent metadata and monitor organizational voice health directly within the chat.

Built-in capabilities (11)

create_voice_agent

Create a new AI voice agent

get_agent_config

Get details for a voice agent

get_call_details

Get details and transcript for a call

get_llm_details

Get metadata for a response engine

get_phone_number

Get details for a specific phone number

list_recent_calls

List call logs and history

list_retell_llms

List internal response engines

list_retell_numbers

List registered phone numbers

list_voice_agents

List all AI voice agents

start_phone_call

Initiate an outbound phone call

start_web_call

Initialize a browser-based call

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Retell AI through native MCP adapters. Connect 11 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 Retell AI 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 Retell AI queries for multi-turn workflows

See it in action

Retell AI in LangChain

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Retell AI and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Retell AI 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
Use with Your AI Agent View step-by-step setup guide for LangChain →
Enterprise Security

Why teams choose Vinkius for Retell AI in LangChain

The Retell AI 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 11 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.

Use with Your AI Agent View full Retell AI details →
Retell AI
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 Retell AI for LangChain

Every tool call from LangChain to the Retell AI 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

Can my AI automatically create a new phone call to a customer using a specific agent?

Yes! Use the create_phone_call tool. Provide the destination phone number and the agent_id, and your agent will trigger the outbound AI voice call instantly.

02

How do I list all my available Retell voice agents?

Simply ask the agent to run the list_agents action. It will retrieve the full catalog of voice agents configured in your Retell AI account.

03

How do I find my Retell AI API Key?

Log in to your Retell AI dashboard, navigate to Settings > API Keys, and you will find your unique secret API key there.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters