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Delta Projects 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 Delta Projects 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 Delta Projects "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Delta Projects
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* 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 Delta Projects MCP Server

Integrate Delta Projects, the efficient programmatic advertising platform, directly into your AI workflow. Manage your digital ad campaigns, monitor real-time performance and budgets, and audit your ad creatives and placements using natural language.

Pydantic AI validates every Delta Projects 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 Oversight — List and retrieve detailed settings and performance metrics for all your ad campaigns.
  • Performance Reporting — Retrieve custom reports on impressions, clicks, and conversions across various dimensions.
  • Creative Auditing — List and review all ad creatives (banners, videos) uploaded to the platform.
  • Placement & Audience Insights — Monitor media placements and explore target audiences available for your campaigns.

The Delta Projects 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 Delta Projects to Pydantic AI via MCP

Follow these steps to integrate the Delta Projects 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 Delta Projects with type-safe schemas

Why Use Pydantic AI with the Delta Projects MCP Server

Pydantic AI provides unique advantages when paired with Delta Projects 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 Delta Projects 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 Delta Projects connection logic from agent behavior for testable, maintainable code

Delta Projects + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Delta Projects MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Delta Projects MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Delta Projects to Pydantic AI via MCP:

01

get_campaign_performance

Get detailed settings and performance metrics for a specific campaign

02

get_custom_ad_report

Retrieve a custom performance report based on specific dimensions

03

get_platform_metadata

Retrieve metadata and configuration for your Delta Projects account

04

list_ad_campaigns

List all programmatic advertising campaigns in your Delta Projects account

05

list_ad_creatives

List all creative assets (banners, videos) uploaded to the platform

06

list_managed_advertisers

List all advertisers configured in the platform

07

list_media_placements

List all configured ad placements and media sources

08

list_running_campaigns

List only the ad campaigns that are currently active and serving

09

list_target_audiences

List all first-party and third-party audiences available for targeting

10

search_campaigns_by_name

Search for an ad campaign using a keyword

Example Prompts for Delta Projects in Pydantic AI

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

01

"List all active ad campaigns and their budgets."

02

"Show me the performance report for 'Summer Sale 2024' from yesterday."

03

"Search for ad creatives containing 'banner_300x250'."

Troubleshooting Delta Projects MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Delta Projects + Pydantic AI FAQ

Common questions about integrating Delta Projects 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 Delta Projects MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Delta Projects to Pydantic AI

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