Bring Cloud Pbx
to Pydantic AI
Learn how to connect Placetel to Pydantic AI 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 Placetel MCP Server?
Placetel
The Placetel MCP Server allows AI agents to interact with your Placetel PBX data seamlessly.
What you can do
- Retrieve users, SIP users, and groups.
- Access phone numbers and routing plans.
- Manage devices and call detail records (CDRs).
How it works
Connect your Placetel account via your API Token to manage your VoIP configurations dynamically.Built-in capabilities (10)
Get details for a specific group
Get details for a specific SIP user
Get details for a specific user
List Call Detail Records (CDRs)
List active or recent calls
List all devices
List all Placetel groups
List all Placetel numbers
List all Placetel SIP users
List all Placetel users
Why Pydantic AI?
Pydantic AI validates every Placetel tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Placetel integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Placetel connection logic from agent behavior for testable, maintainable code
Placetel in Pydantic AI
Placetel and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Placetel to Pydantic AI 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 Placetel in Pydantic AI
The Placetel 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 Pydantic AI 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
Placetel for Pydantic AI
Every tool call from Pydantic AI to the Placetel MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Where do I find my API Token?
Your API Token can be found in your Placetel web portal under Integrations > Web API.
What access does this MCP need?
It requires the REST API Token, giving access to users, calls, numbers, and devices.
Can I initiate phone calls using this server?
Currently, this integration supports retrieving Placetel data like CDRs and configurations. Call initiation via CTI will be added in a future update.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Placetel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
