How to Use the Dialpad MCP in Pydantic AI
Build type-safe Pydantic AI agents that interact with Dialpad using strict schema validation for every telephony command.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dialpad MCP to Pydantic AI
Create your Vinkius account to connect Dialpad to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Strict Dialpad schema validation with Pydantic AI
Every call to `dispatch_office_sms` is validated against your Pydantic models at runtime. If the API returns unexpected data, your agent stops immediately to prevent errors. This enforces data integrity when handling phone numbers or message content. You get clear validation errors instead of silent failures.
Type-safe directory control for Pydantic AI
Use `upsert_business_contact` to push structured data into your Dialpad directory. Pydantic AI ensures every contact field matches your expected format before the request leaves your system. This prevents malformed contact records from entering your database. It is the safest way to maintain clean directories in a production agent.
Operational logging in Pydantic AI
Inspect `list_raw_call_logs` and cast the output directly into your own Pydantic classes. This turns raw telephony data into typed objects your agent can analyze safely. By defining models for your logs, you ensure your agent only acts on data that meets your quality standards. It removes the risk of hallucinating fields during analysis.
Set up Dialpad MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"dialpad-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Dialpad tools.",
)
result = await agent.run("List recent Dialpad transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dialpad. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Dialpad MCP in Pydantic AI
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