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Tubular MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Get Api Rate Limits, Get Audience Overlap, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Tubular app connector for Pydantic AI is a standout in the Data Analytics 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

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 Tubular "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Tubular
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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 Tubular MCP Server

Connect your Tubular Labs video intelligence account to any AI agent and simplify how you analyze digital video trends, creator performance, and cross-platform audience metrics through natural conversation.

Pydantic AI validates every Tubular 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.

What you can do

  • Video Insights — Retrieve detailed performance metrics and trending data for individual videos or categories across social platforms.
  • Creator Intelligence — Search for creators and fetch high-level performance summaries, trends, and audience ratings.
  • Audience Demographics — Analyze audience breakdowns (age, gender, location) for specific videos or creators to refine your targeting.
  • Sponsorship Tracking — List brand sponsors and monitor sponsored video campaigns to understand the competitive landscape.
  • Audience Overlap — Analyze shared audience between two creators or content properties to identify partnership opportunities.
  • Operational Monitoring — Check API health and rate limits to ensure your intelligence engine is always running.

The Tubular 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 Tubular tools available for Pydantic AI

When Pydantic AI connects to Tubular through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-intelligence, audience-insights, competitive-benchmarking, 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.

check_api_health

Check API health status

get_api_rate_limits

Get current API rate limits

get_audience_overlap

Analyze shared audience between entities

get_audience_ratings

Get reach and engagement ratings

get_creator_summary

Get summary for a specific creator

get_creator_trends

Get trends for a specific creator

get_video_demographics

) for a specific video. Get audience demographics for a video

get_video_insights

Get insights for a specific video

get_video_trends

List trending videos

list_sponsored_campaigns

List sponsored video campaigns

list_sponsors

List sponsors and brand partners

search_creators

g., name or keywords). Search for creators

Connect Tubular to Pydantic AI via MCP

Follow these steps to wire Tubular into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Tubular with type-safe schemas

Why Use Pydantic AI with the Tubular MCP Server

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

Tubular + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tubular in Pydantic AI

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

01

"Search for top gaming creators in my region."

02

"Show me the audience overlap between creator 'A-101' and 'B-552'."

03

"List all active sponsored video campaigns from 'TechBrand Inc'."

Troubleshooting Tubular MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tubular + Pydantic AI FAQ

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