Bring Voice Ai
to CrewAI
Create your Vinkius account to connect Retell AI to CrewAI 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 CrewAI?
When paired with CrewAI, Retell AI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Retell AI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Retell AI in CrewAI
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 CrewAI 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 CrewAI
Every request between CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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