Inbox (useinbox.com) 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 Inbox (useinbox.com) 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 Inbox (useinbox.com) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Inbox (useinbox.com)?"
)
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 Inbox (useinbox.com) MCP Server
Empower your AI agents to manage your email marketing with UseINBOX. This MCP server allows you to list and retrieve campaigns, manage contact lists and subscribers, view newsletters, and track campaign reports directly through the UseINBOX API. Ideal for automating marketing operations and audience engagement.
Pydantic AI validates every Inbox (useinbox.com) 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.
The Inbox (useinbox.com) 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 Inbox (useinbox.com) to Pydantic AI via MCP
Follow these steps to integrate the Inbox (useinbox.com) 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 Inbox (useinbox.com) with type-safe schemas
Why Use Pydantic AI with the Inbox (useinbox.com) MCP Server
Pydantic AI provides unique advantages when paired with Inbox (useinbox.com) 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 Inbox (useinbox.com) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Inbox (useinbox.com) connection logic from agent behavior for testable, maintainable code
Inbox (useinbox.com) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Inbox (useinbox.com) MCP Server delivers measurable value.
Type-safe data pipelines: query Inbox (useinbox.com) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Inbox (useinbox.com) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Inbox (useinbox.com) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Inbox (useinbox.com) responses and write comprehensive agent tests
Inbox (useinbox.com) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Inbox (useinbox.com) to Pydantic AI via MCP:
get_account
Gets your UseINBOX account details
get_campaign_report
Retrieves the performance report for a specific campaign
list_automations
Lists all marketing automations
list_campaigns
Lists all email campaigns
list_contact_lists
Lists all contact lists
list_contacts
Lists contacts within a specific list
list_newsletters
Lists all newsletters
list_senders
Lists all authorized email senders
list_templates
Lists all email templates
list_webhooks
Lists all configured webhooks
Example Prompts for Inbox (useinbox.com) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Inbox (useinbox.com) immediately.
"List all my email campaigns in UseINBOX."
"Show me the contacts in my 'VIP Customers' list."
"Get the latest report for campaign ID '456'."
Troubleshooting Inbox (useinbox.com) MCP Server with Pydantic AI
Common issues when connecting Inbox (useinbox.com) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiInbox (useinbox.com) + Pydantic AI FAQ
Common questions about integrating Inbox (useinbox.com) 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 Inbox (useinbox.com) 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 Inbox (useinbox.com) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.