Conekta MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Conekta 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 Conekta "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Conekta?"
)
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 Conekta MCP Server
Integrate your AI assistant with Conekta, the leading online payment gateway in Mexico and Latin America. By providing seamless connectivity to your Conekta account, your conversational agent can instantly analyze transaction data, verify specific charges, and keep track of your core e-commerce metrics directly through natural language requests.
Pydantic AI validates every Conekta tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Transaction Lookups — Instantly query the status of specific payments by providing a transaction ID or customer email.
- Sales Analysis — Ask for summaries of recent successful transactions, refunds, or chargebacks to keep track of store performance.
- Customer Management — Retrieve and review customer profiles and their associated payment history to provide faster support.
The Conekta MCP Server exposes 8 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 Conekta to Pydantic AI via MCP
Follow these steps to integrate the Conekta 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 8 tools from Conekta with type-safe schemas
Why Use Pydantic AI with the Conekta MCP Server
Pydantic AI provides unique advantages when paired with Conekta 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 Conekta integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Conekta connection logic from agent behavior for testable, maintainable code
Conekta + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Conekta MCP Server delivers measurable value.
Type-safe data pipelines: query Conekta with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Conekta tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Conekta and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Conekta responses and write comprehensive agent tests
Conekta MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Conekta to Pydantic AI via MCP:
create_order
Requires customer name, email, phone, and at least one line item with name, unit_price (in cents), and quantity. Currency defaults to MXN. Create a new order in Conekta
get_customer
Returns contact info, payment sources, and order history. Retrieve detailed information about a specific customer
get_order
Returns charges, line items, customer info, and payment status. Retrieve detailed information about a specific order
list_customers
Retrieve a list of customer records from Conekta
list_events
Useful for debugging integrations. Retrieve a list of API events (webhook history)
list_orders
Use payment_status filter to narrow results. Supports limit for pagination. Retrieve a paginated list of orders from Conekta
list_subscription_plans
Retrieve a list of subscription plans in Conekta
search_customer_by_email
Returns matching customer profiles. Find a Conekta customer by their email address
Example Prompts for Conekta in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Conekta immediately.
"Check if the Conekta payment with ID 'ord_2nx...4kx' was successfully processed or declined."
"Summarize today's approved transactions and total revenue in MXN."
"List the last 5 chargebacks or disputed claims in our account."
Troubleshooting Conekta MCP Server with Pydantic AI
Common issues when connecting Conekta to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiConekta + Pydantic AI FAQ
Common questions about integrating Conekta 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 Conekta 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 Conekta to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.