Thoughtly MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Contact, Delete Contact, Get Call History, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Thoughtly 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 Thoughtly app connector for Pydantic AI is a standout in the Communication category — giving your AI agent 11 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 Thoughtly "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Thoughtly?"
)
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 Thoughtly MCP Server
Connect your Thoughtly voice AI platform to any text-based AI agent to seamlessly bridge the gap between text commands and real-world phone calls.
Pydantic AI validates every Thoughtly tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Trigger Phone Calls — Instantly instruct your AI Voice Agents (Interviews) to dial any contact and execute conversational phone workflows
- Contact Management — Query your Thoughtly CRM directory, register new leads with phone numbers, and manage their details
- Call Logs & Transcripts — Retrieve detailed call histories, metadata, and full transcripts of conversations conducted by your voice agents
- Agent Fleet Control — List and inspect all your active AI Voice Agents to deploy the right persona for each outbound campaign
The Thoughtly MCP Server exposes 11 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 11 Thoughtly tools available for Pydantic AI
When Pydantic AI connects to Thoughtly through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, agents, crm, 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.
Optionally includes first name, last name, email. Create a new Thoughtly contact
Delete a Thoughtly contact
Get details and transcript for a specific call
Get specific Thoughtly contact details
Get details for a specific Thoughtly Voice Agent
Get Thoughtly user details
List past phone calls (Call logs)
List Thoughtly contacts
List Thoughtly Voice Agents (Interviews)
Trigger an AI outbound phone call
Update an existing Thoughtly contact
Connect Thoughtly to Pydantic AI via MCP
Follow these steps to wire Thoughtly 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 Thoughtly MCP Server
Pydantic AI provides unique advantages when paired with Thoughtly 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 Thoughtly integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Thoughtly connection logic from agent behavior for testable, maintainable code
Thoughtly + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Thoughtly MCP Server delivers measurable value.
Type-safe data pipelines: query Thoughtly with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Thoughtly tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Thoughtly and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Thoughtly responses and write comprehensive agent tests
Example Prompts for Thoughtly in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Thoughtly immediately.
"List all my available Voice Agents in Thoughtly."
"Create a new contact with the phone number +1234567890 and tell the Sales SDR Voice Agent to call them."
"Get the call transcript for the latest interaction with Call ID CAL-554."
Troubleshooting Thoughtly MCP Server with Pydantic AI
Common issues when connecting Thoughtly to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiThoughtly + Pydantic AI FAQ
Common questions about integrating Thoughtly 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.