Bring Voice Ai
to LangChain
Create your Vinkius account to connect Retell AI to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Retell AI MCP Server?
Connect your conversational assistant directly to Retell AI, a powerful platform for building voice-driven conversational agents. Empower your AI to orchestrate, analyze, and automate phone calls or web-based voice interactions seamlessly via simple text commands. From provisioning intelligent voice agents to placing outbound calls to customers, this integration brings the full telecommunication stack directly to your chat interface.
What you can do
- Automate Phone Calls — Command your assistant to initiate outbound voice interactions on your behalf (
create_phone_call) or register active sessions for web browser integration (register_web_call). - Build and Manage Voice Agents — Dynamically orchestrate AI agent personalities (
create_agent,update_agent) and configure their underlying conversational brain (create_llm) with specific system instructions and models. - Analyze Telemetry — Keep track of your infrastructure by querying historical call logs (
list_calls), investigating specific conversations for transcripts and sentiment analysis (get_call_details), surveying available text-to-speech voices (list_voices), and reviewing provisioned communication lines (list_phone_numbersandlist_agents).
How it works
- Install the Retell extension module within your MCP environment.
- Obtain your
Retell API Keyfrom your official provider account and securely input it into the designated authentication parameter below. - Simply chat with your assistant: "Review all my available voices, create a new AI voice agent configured as a customer support representative, and initiate a test phone call to my personal number."
Who is this for?
- Founders & Operators — Spin up autonomous voice-driven receptionists or support bots to interact with inbound or outbound telecommunication traffic efficiently.
- Developers & Integrators — Manage Retell AI configurations and rapidly prototype voice applications without using Postman or coding custom administration panels.
- Workflow Orchestrators — Chain natural language instructions to dynamically assess previous call transcripts and adjust an active agent's system prompt accordingly.
Built-in capabilities (10)
Creates a new AI voice agent
Configures a Retell-hosted LLM
Provide a JSON payload with "from_number" and "to_number". Initiates an outbound phone call
Retrieves details for a specific call
Lists all configured AI voice agents
Lists all historical and active calls
Lists all phone numbers associated with the account
Lists all available text-to-speech voices
Registers a new web-based call
Updates an existing AI voice agent
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Retell AI 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 Retell AI MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Retell AI queries for multi-turn workflows
Retell AI in LangChain
Why run Retell AI with Vinkius?
The Retell AI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Retell AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Retell AI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Retell AI to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Retell AI for LangChain
Every request between LangChain and Retell AI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Does Retell handle the telephone lines, or do I need my own Twilio/carrier?
Retell AI is designed to integrate seamlessly into telephony workflows but generally focuses on the conversational agent side. They provide features to list and attach numbers (list_phone_numbers), but you often purchase those numbers or link a custom SIP trunk through Retell accounts. You can run list_phone_numbers to see your currently available direct lines.
How do I create an outbound call programmatically with my assistant?
Simply ask your assistant to "Call X using my Y agent." Behind the scenes, the AI relies on the create_phone_call tool, transmitting a JSON payload supplying the from_number (a Retell registered phone number), to_number (destination), and an override_agent_id parameter to assign your voice agent correctly.
Can the AI initiate voice calls in a web browser instead of over the phone?
Yes. Use the register_web_call tool to create a browser-based voice session. This returns a connection URL and access token that your frontend application can use to start a real-time WebRTC conversation with a Retell voice agent, without requiring any phone line.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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