eSputnik MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Attach To Group, Create Contact, Detach From Group, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect eSputnik through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The eSputnik app connector for Pydantic AI is a standout in the Marketing 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 eSputnik "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in eSputnik?"
)
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 eSputnik MCP Server
The eSputnik MCP server allows your AI agent to orchestrate marketing campaigns across Email, SMS, Web Push, and Mobile Push. Send messages, retrieve contact lists, and manage omnichannel workflows seamlessly.
Pydantic AI validates every eSputnik 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.
The eSputnik MCP Server exposes 12 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.
All 12 eSputnik tools available for Pydantic AI
When Pydantic AI connects to eSputnik through Vinkius, your AI agent gets direct access to every tool listed below — spanning esputnik, email, sms, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add contacts to a specific group
Create a new contact in eSputnik
Remove contacts from a group
Retrieve account and organization metadata
Retrieve details for a specific contact
Check the delivery status of a sent message
List all contacts in eSputnik
List all contact groups/segments
List unsubscribed email addresses
Search for contacts by email or phone
Trigger an omnichannel message send
Generate a system event to trigger workflows
Connect eSputnik to Pydantic AI via MCP
Follow these steps to wire eSputnik into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the 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 eSputnik MCP Server
Pydantic AI provides unique advantages when paired with eSputnik 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 eSputnik integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your eSputnik connection logic from agent behavior for testable, maintainable code
eSputnik + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the eSputnik MCP Server delivers measurable value.
Type-safe data pipelines: query eSputnik with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple eSputnik tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query eSputnik and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock eSputnik responses and write comprehensive agent tests
Example Prompts for eSputnik in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with eSputnik immediately.
"List all my contact groups in eSputnik."
"Send an SMS saying 'Your order has shipped!' to +123456789."
"Add 'john@example.com' to the 'VIP Customers' list."
Troubleshooting eSputnik MCP Server with Pydantic AI
Common issues when connecting eSputnik to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aieSputnik + Pydantic AI FAQ
Common questions about integrating eSputnik 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.