Adversus MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Add Contact To Campaign, Get Campaign Details, List Account Users, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Adversus 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 Adversus app connector for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 7 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 Adversus "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in Adversus?"
)
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 Adversus MCP Server
Connect your Adversus account to any AI agent and take full control of your outbound sales operations, telemarketing, and CRM orchestration through natural conversation.
Pydantic AI validates every Adversus tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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
- Campaign Orchestration — List all telemarketing and outreach campaigns programmatically, retrieving detailed status, high-fidelity metadata, and performance metrics in real-time
- Lead Execution Intelligence — Programmatically add new contacts and leads to specific campaigns to coordinate your automated dialer and outreach strategy
- Contact Database Management — Access complete directories of leads and contacts assigned to campaigns, retrieving high-fidelity profile metadata and relationship history
- Project & Team Visibility — Access configured CRM projects and associated campaigns to maintain a perfectly coordinated sales pipeline
- Operational Monitoring — Access high-fidelity metadata for account agents and verify API connectivity directly through your agent for instant operational reporting
The Adversus MCP Server exposes 7 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 7 Adversus tools available for Pydantic AI
When Pydantic AI connects to Adversus through Vinkius, your AI agent gets direct access to every tool listed below — spanning dialer, telemarketing, outbound-sales, 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 a new contact to a campaign
Get details for a specific campaign
List team users
List global leads
List contacts in a campaign
List Adversus campaigns
List projects
Connect Adversus to Pydantic AI via MCP
Follow these steps to wire Adversus 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 Adversus MCP Server
Pydantic AI provides unique advantages when paired with Adversus 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 Adversus integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Adversus connection logic from agent behavior for testable, maintainable code
Adversus + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Adversus MCP Server delivers measurable value.
Type-safe data pipelines: query Adversus with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Adversus tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Adversus and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Adversus responses and write comprehensive agent tests
Example Prompts for Adversus in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Adversus immediately.
"List all active campaigns and their performance in Adversus."
"Add 'John Doe' (+15550123) to the 'New Business' campaign (ID: 'camp_456')."
"Show the last 5 leads captured across all my campaigns."
Troubleshooting Adversus MCP Server with Pydantic AI
Common issues when connecting Adversus to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAdversus + Pydantic AI FAQ
Common questions about integrating Adversus 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.