How to Use the Vonage MCP in Pydantic AI
Build type-safe Vonage integrations with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vonage MCP to Pydantic AI
Create your Vinkius account to connect Vonage 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.
Sending Structured Messages via MCP Server
When you send a message, you want to know exactly what happened. Use `send_sms` or the WhatsApp/Viber tools to dispatch messages, but more importantly, Pydantic validates that the response structure is correct. The agent doesn't proceed if the data format is wrong—it fails loudly. This prevents silent corruption when communicating via Vonage.
Validating Verification Flows with Pydantic AI
Identity verification requires precise handoffs. The `start_verification` tool initiates the flow, and the agent then uses `check_verification_code` to confirm the user's input. Since responses are typed, you get immediate validation on success or failure. This makes your entire 2FA process robust; if the API returns unexpected data, Pydantic catches it.
Managing Account Context with Vonage and Pydantic AI
Need to check available resources? Run `get_account_balance` to get a validated credit figure. You can also confirm pricing details using `get_country_pricing`. Everything comes back as a predictable, typed object. This level of data correctness is non-negotiable when building production systems with Pydantic AI.
Set up Vonage 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": {
"vonage-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Vonage tools.",
)
result = await agent.run("List recent Vonage 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 Vonage. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vonage MCP in Pydantic AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Vonage MCP today
We host it, we monitor it, we maintain it. You just paste one token.