Bring Cloud Phone
to CrewAI
Learn how to connect Toky to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Toky MCP Server?
Connect your Toky cloud phone system account to any AI agent and simplify how you manage your business communications, call logs, and SMS outreach through natural conversation.
What you can do
- Call Management — List and search call history, retrieve detailed metadata, and monitor recent voicemails.
- SMS Automation — Send individual text messages to customers and leads directly via AI commands.
- Contact Oversight — List, create, and manage your phone directory to keep customer data synchronized.
- Team Coordination — Query agent lists and retrieve detailed profiles for your communication team.
- Operational Status — Fetch detailed metadata for specific calls or voicemails to understand interaction context.
- Communication Visibility — Monitor your cloud telephony activities directly from the agent.
How it works
1. Subscribe to this server
2. Enter your Toky API Key (found in your developer settings)
3. Start managing your cloud phone system from Claude, Cursor, or any MCP client
Who is this for?
- Sales & Support Teams — quickly send SMS follow-ups and retrieve call logs via simple AI commands.
- Operations Managers — monitor agent availability and verify communication history across the team.
- Business Owners — maintain an organized record of customer interactions and voicemails directly from the workspace.
Built-in capabilities (10)
Create a new Toky contact
Get details for a specific Toky agent
Get details for a specific Toky call
Get details for a specific Toky contact
Get details for a specific Toky voicemail
Use limit and offset for pagination. List Toky agents
Use limit and offset for pagination. List Toky calls
Use limit and offset for pagination. List Toky contacts
Use limit and offset for pagination. List Toky voicemails
Send an SMS via Toky
Why CrewAI?
When paired with CrewAI, Toky becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Toky tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Toky in CrewAI
Toky and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Toky to CrewAI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Toky in CrewAI
The Toky 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 CrewAI 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.
* 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
How Vinkius secures
Toky for CrewAI
Every tool call from CrewAI to the Toky MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see my recent call history via AI?
Yes! Use the list_calls tool. Your agent will retrieve the history of all incoming and outgoing calls, including durations and participant details.
How do I send an SMS to a customer using the AI?
Use the send_sms action. Provide the destination phone number and your message text. The agent will trigger the SMS transmission through your Toky account instantly.
Is it possible to check for new voicemails via AI?
Absolutely. Run the list_voicemails query. The agent will retrieve a list of all recorded voicemails, which you can then inspect for specific interaction details.
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.