Taboola MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Create Campaign, Create Campaign Item, Get Campaign, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Taboola 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 for Pydantic AI
The Taboola MCP Server for Pydantic AI is a standout in the Growth Engine category — giving your AI agent 10 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 Taboola "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Taboola?"
)
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 Taboola MCP Server
Connect your Taboola Backstage account to any AI agent and take full control of your native advertising workflows through natural conversation.
Pydantic AI validates every Taboola 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
- Account Management — List all allowed accounts and retrieve current user profile details
- Campaign Control — List, fetch, create, and update campaigns including budgets, CPC, and active status
- Ad Management — Manage campaign items (ads) by listing existing creatives or adding new URLs and thumbnails
- Performance Reporting — Run detailed campaign summary reports by dimension (day, week, month) or identify top-performing content
The Taboola MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Taboola tools available for Pydantic AI
When Pydantic AI connects to Taboola through Vinkius, your AI agent gets direct access to every tool listed below — spanning native-advertising, campaign-management, cpc, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create campaign on Taboola
Create a new Taboola campaign
Create campaign item on Taboola
Create a new campaign item (ad)
Get campaign on Taboola
Get details for a specific campaign
Get campaign summary report on Taboola
Get campaign summary report
Get current user on Taboola
Get current Taboola user details
Get top campaign content report on Taboola
Get top campaign content report
List allowed accounts on Taboola
List allowed Taboola accounts
List campaign items on Taboola
List items (ads) in a campaign
List campaigns on Taboola
List campaigns for an account
Update campaign on Taboola
Update an existing Taboola campaign
Connect Taboola to Pydantic AI via MCP
Follow these steps to wire Taboola into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind 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 Taboola MCP Server
Pydantic AI provides unique advantages when paired with Taboola 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 Taboola integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Taboola connection logic from agent behavior for testable, maintainable code
Taboola + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Taboola MCP Server delivers measurable value.
Type-safe data pipelines: query Taboola with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Taboola tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Taboola and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Taboola responses and write comprehensive agent tests
Example Prompts for Taboola in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Taboola immediately.
"List all my Taboola accounts."
"Get a summary report for account 'act-9821' grouped by day."
"Update campaign 'camp-556' in account 'act-9821' to change the CPC to '0.45'."
Troubleshooting Taboola MCP Server with Pydantic AI
Common issues when connecting Taboola to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTaboola + Pydantic AI FAQ
Common questions about integrating Taboola 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?
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