JustCall MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect JustCall through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 JustCall "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in JustCall?"
)
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 JustCall MCP Server
Empower your AI agents with JustCall's cloud phone system. This MCP server allows you to list and retrieve phone calls, track SMS/MMS messages, manage contacts, and access call recordings directly through the JustCall API. Ideal for automating communication workflows and sales engagement.
Pydantic AI validates every JustCall tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.
The JustCall MCP Server exposes 10 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.
How to Connect JustCall to Pydantic AI via MCP
Follow these steps to integrate the JustCall MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from JustCall with type-safe schemas
Why Use Pydantic AI with the JustCall MCP Server
Pydantic AI provides unique advantages when paired with JustCall 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 JustCall integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your JustCall connection logic from agent behavior for testable, maintainable code
JustCall + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the JustCall MCP Server delivers measurable value.
Type-safe data pipelines: query JustCall with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple JustCall tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query JustCall and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock JustCall responses and write comprehensive agent tests
JustCall MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect JustCall to Pydantic AI via MCP:
get_call
Includes timestamps, participants, and associated notes. Use this for deep investigation of a specific communication event. Retrieves details for a specific call
get_contact
Returns associated phone numbers, email addresses, and metadata. Use this for detailed customer vetting before or after a call. Retrieves details for a specific contact
list_calls
Returns call direction (inbound/outbound), duration, status, and IDs. Use this to audit communication activity or track call volumes. Lists all phone calls
list_campaigns
g., dialer campaigns). Useful for monitoring sales outreach and telemarketing efforts. Lists all calling campaigns
list_contacts
Returns names, phone numbers, and IDs. Use this to search for customers or provide contact information to the user. Lists all contacts in JustCall
list_messages
Includes message content, sender/receiver, and delivery status. Essential for monitoring text-based customer interactions. Lists all SMS/MMS messages
list_numbers
Useful for identifying which numbers are available for specific campaigns or teams. Lists all phone numbers in your JustCall account
list_recordings
Use this when the user wants to audit call quality or retrieve a specific conversation record. Lists all call recordings
list_users
Useful for identifying which agent handled a specific call or message. Lists all users in your organization
list_webhooks
Useful for auditing system integrations. Lists all configured webhooks
Example Prompts for JustCall in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with JustCall immediately.
"List all recent phone calls in JustCall."
"Show me the latest SMS messages."
"Check the details for contact ID '123'."
Troubleshooting JustCall MCP Server with Pydantic AI
Common issues when connecting JustCall to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiJustCall + Pydantic AI FAQ
Common questions about integrating JustCall 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect JustCall with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect JustCall to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.