Kontak 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 Kontak 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
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 Kontak "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Kontak?"
)
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 Kontak MCP Server
Connect your AI agent to Kontak to automate your customer communications and message auditing.
Pydantic AI validates every Kontak tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.
Key Features
- Unified Messaging history — List and audit all sent and received SMS and call logs
- Contact Management — Access and manage your Kontak address book via natural language
- Outbound SMS — Send text messages to customers directly from your chat client
- Template Access — Browse available message templates for consistent communication
- Audit & Analytics — Retrieve system logs and account metadata to monitor performance
Quick Setup
1. Subscribe to this server
2. Log in to your Kontak account, go to API Settings and generate a Bearer Token
3. Enter your token in the configuration panel
4. Start managing your communications via chat
The Kontak 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 Kontak to Pydantic AI via MCP
Follow these steps to integrate the Kontak 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 Kontak with type-safe schemas
Why Use Pydantic AI with the Kontak MCP Server
Pydantic AI provides unique advantages when paired with Kontak 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 Kontak integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Kontak connection logic from agent behavior for testable, maintainable code
Kontak + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Kontak MCP Server delivers measurable value.
Type-safe data pipelines: query Kontak with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Kontak tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Kontak and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Kontak responses and write comprehensive agent tests
Kontak MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Kontak to Pydantic AI via MCP:
get_contact_details
Get details for a specific contact
get_kontak_account_info
Get account settings and info
get_kontak_audit_logs
Retrieve system audit logs
get_message_details
Get details for a specific message
list_kontak_contacts
List all contacts
list_kontak_messages
List all sent and received messages
list_kontak_tags
List all contact tags
list_kontak_templates
List available message templates
list_kontak_webhooks
List configured webhooks
send_outbound_sms
Send a new SMS message
Example Prompts for Kontak in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Kontak immediately.
"List the last 5 messages from my Kontak account"
"Send an SMS to +1987654321 saying 'Hello from AI'"
"Find contact named 'Robert'"
Troubleshooting Kontak MCP Server with Pydantic AI
Common issues when connecting Kontak to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKontak + Pydantic AI FAQ
Common questions about integrating Kontak 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 Kontak 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 Kontak to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.