MiiTel MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Call Details, Get Meeting Details, List Calls, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MiiTel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The MiiTel app connector for Pydantic AI is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to MiiTel "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in MiiTel?"
)
print(result.data)
asyncio.run(main())
* 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
About MiiTel MCP Server
Connect your MiiTel account to any AI agent and manage AI-powered speech analysis and call data through natural conversation.
Pydantic AI validates every MiiTel tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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.
What you can do
- Call Transcripts — Access full text transcriptions of sales and support calls
- Speech Analytics — Analyze talk ratio, speech rate, overlaps, and silence
- Recordings — Retrieve call recording metadata and audio links
- Agent Performance — Monitor call volume, duration, and conversion rates
- Emotion Analysis — Track sentiment and energy levels during conversations
The MiiTel MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 MiiTel tools available for Pydantic AI
When Pydantic AI connects to MiiTel through Vinkius, your AI agent gets direct access to every tool listed below — spanning call-transcription, speech-analytics, sentiment-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get details for a specific call
Get details for a specific meeting
List MiiTel call history
List MiiTel account users
List online meeting history
List CRM contacts
Connect MiiTel to Pydantic AI via MCP
Follow these steps to wire MiiTel into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the MiiTel MCP Server
Pydantic AI provides unique advantages when paired with MiiTel through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MiiTel integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your MiiTel connection logic from agent behavior for testable, maintainable code
MiiTel + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the MiiTel MCP Server delivers measurable value.
Type-safe data pipelines: query MiiTel with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple MiiTel tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query MiiTel and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock MiiTel responses and write comprehensive agent tests
Example Prompts for MiiTel in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with MiiTel immediately.
"Show speech analytics for Mike's latest sales call."
"Get the transcript summary for call call_890."
"Show today's call volume and team performance."
Troubleshooting MiiTel MCP Server with Pydantic AI
Common issues when connecting MiiTel to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMiiTel + Pydantic AI FAQ
Common questions about integrating MiiTel MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.