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Basis Technologies MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Basis Technologies through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Basis Technologies "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Basis Technologies?"
    )
    print(result.data)

asyncio.run(main())
Basis Technologies
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IAMAccess control
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DLPData protection
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Basis Technologies MCP Server

Connect your Basis Technologies (formerly Centro) account to any AI agent and orchestrate your programmatic advertising workflows through natural conversation.

Pydantic AI validates every Basis Technologies 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.

What you can do

  • Campaign Management — List all media buying campaigns and fetch detailed metadata from the Basis cloud.
  • Tactic Optimization — Query and inspect specific tactics (line items) to understand targeting, pacing, and bidding strategies.
  • Ad Creative Audit — List all ad creatives and verify statuses across your digital advertising portfolio.
  • Performance Analytics — Retrieve real-time delivery statistics and KPIs for campaigns and tactics to drive data-informed decisions.
  • Client & Brand Oversight — Maintain a clear view of all advertisers and brands managed within your organization.

The Basis Technologies 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 Basis Technologies to Pydantic AI via MCP

Follow these steps to integrate the Basis Technologies MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Basis Technologies with type-safe schemas

Why Use Pydantic AI with the Basis Technologies MCP Server

Pydantic AI provides unique advantages when paired with Basis Technologies through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Basis Technologies integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Basis Technologies connection logic from agent behavior for testable, maintainable code

Basis Technologies + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Basis Technologies MCP Server delivers measurable value.

01

Type-safe data pipelines: query Basis Technologies with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Basis Technologies tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Basis Technologies and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Basis Technologies responses and write comprehensive agent tests

Basis Technologies MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Basis Technologies to Pydantic AI via MCP:

01

get_ad

Get specific ad details

02

get_campaign

Get specific Basis campaign details

03

get_campaign_performance

Get performance metrics for a campaign

04

get_tactic

Get specific Basis tactic details

05

get_tactic_performance

Get performance metrics for a tactic

06

list_ads

List all ad creatives

07

list_brands

List all brands

08

list_campaigns

List all Basis DSP campaigns

09

list_clients

List all clients/advertisers

10

list_tactics

List all Basis DSP tactics (line items)

Example Prompts for Basis Technologies in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Basis Technologies immediately.

01

"List all active campaigns in my Basis account."

02

"Show performance stats for campaign 88231."

03

"List all tactics associated with my account."

Troubleshooting Basis Technologies MCP Server with Pydantic AI

Common issues when connecting Basis Technologies to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Basis Technologies + Pydantic AI FAQ

Common questions about integrating Basis Technologies MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Basis Technologies MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Basis Technologies to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.