How do I get HypeAuditor API credentials?

You can find your API token in the HypeAuditor dashboard under 'API Settings'. You may need an enterprise plan to access the API.

Which platforms are supported?

The HypeAuditor API supports Instagram, YouTube, and TikTok for influencer search and reporting.

Can I see my credit balance?

Yes, the get_account_info tool provides details about your current plan and remaining credits.

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

Name: HypeAuditor
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 HypeAuditor "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 HypeAuditor MCP Server

Empower your AI agents with HypeAuditor's industry-leading influencer analytics. This MCP server allows you to search for influencers across Instagram, YouTube, and TikTok, retrieve detailed audit reports, and manage your account insights directly through the HypeAuditor API. Ideal for data-driven influencer marketing and brand protection.

Pydantic AI validates every HypeAuditor tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.

The HypeAuditor 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 HypeAuditor to Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from HypeAuditor with type-safe schemas

Why Use Pydantic AI with the HypeAuditor MCP Server

Pydantic AI provides unique advantages when paired with HypeAuditor 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 HypeAuditor integration code

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

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

HypeAuditor + Pydantic AI Use Cases

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

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

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

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

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

HypeAuditor MCP Tools for Pydantic AI (10)

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

get_account_info

Gets your HypeAuditor account details

get_influencer_report

Retrieves a detailed report for an influencer

get_rate_limit

Gets current API rate limit status

list_categories

Lists influencer categories

list_countries

Lists available countries

list_influencer_types

Lists available influencer types

list_languages

Lists available languages

list_platforms

Lists supported social media platforms

list_reports

Lists reports generated in your account

search_influencers

Searches for influencers with filters

Example Prompts for HypeAuditor in Pydantic AI

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

"Search for fashion influencers in France on Instagram."

"Get an audit report for influencer ID 'xyz-123'."

"Check my current API rate limit and credits."

Troubleshooting HypeAuditor MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HypeAuditor + Pydantic AI FAQ

Common questions about integrating HypeAuditor MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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