JustCall MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Contact, Get Account Profile, Get Call Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect JustCall through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The JustCall MCP Server for Pydantic AI is a standout in the Customer Support category — giving your AI agent 12 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 JustCall "
"(12 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
Connect your JustCall account to any AI agent and manage phone communications through natural conversation.
Pydantic AI validates every JustCall tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 Management — Make outbound calls, track call logs with duration and status
- SMS Messaging — Send text messages to contacts and track delivery
- Contact Database — List contacts, create new entries, and inspect profiles
- Call Recordings — Access call recordings with metadata
- Phone Numbers — List available and assigned phone numbers
- Agent Monitoring — Track agent performance, call volumes, and availability
The JustCall MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 JustCall tools available for Pydantic AI
When Pydantic AI connects to JustCall through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-phone, sms-messaging, call-logging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create contact on JustCall
Create a new contact
Get account profile on JustCall
Get my profile
Get call details on JustCall
Get call details
Get contact on JustCall
Get contact details
Get message details on JustCall
Get message details
List account numbers on JustCall
List JustCall numbers
List calls on JustCall
List phone calls
List contacts on JustCall
List phone contacts
List messages on JustCall
List SMS/MMS messages
List team users on JustCall
List team members
List webhooks on JustCall
List active webhooks
Send message on JustCall
Send SMS/MMS
Connect JustCall to Pydantic AI via MCP
Follow these steps to wire JustCall into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind 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 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
Example Prompts for JustCall in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with JustCall immediately.
"Show today's call log and send a follow-up SMS to the last caller."
"List all agents, their call volumes, and available phone numbers."
"Show call recordings from this week and the contact database."
Troubleshooting JustCall MCP Server with Pydantic AI
Common issues when connecting JustCall to Pydantic AI through 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?
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