How to Use the HypeAuditor MCP in Pydantic AI
Validate HypeAuditor influencer metrics at runtime with Pydantic AI to guarantee clean data in your marketing pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HypeAuditor MCP to Pydantic AI
Create your Vinkius account to connect HypeAuditor to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Fetch type-safe influencer profiles
The `get_influencer_report` tool pulls in-depth audience data and engagement statistics directly into your application. Pydantic AI validates this payload against strict Python schemas before your agent processes it. This runtime validation prevents your pipeline from crashing due to unexpected API schema changes. You get clean, typed objects that are ready for immediate use in your decision-making workflows.
Query creators with this validated MCP Server
The `search_influencers` tool allows your agent to find profiles based on platform, category, and language filters. The server returns structured search results that map directly to your Pydantic models. If the API returns a malformed field, the framework raises a validation error immediately. This ensures your agent never acts on corrupted or incomplete search data.
List active reports and account status
The `list_reports` tool retrieves all previously generated influencer reports associated with your account. Your agent uses this index to find existing data before requesting new, paid reports. By checking this list first, you avoid spending credits on reports you already own. The agent handles this lookup automatically in the background before executing any new analysis.
Set up HypeAuditor MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"hypeauditor-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to HypeAuditor tools.",
)
result = await agent.run("List recent HypeAuditor transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HypeAuditor. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Built-in savings
60%
lower AI costs
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Common questions about HypeAuditor MCP in Pydantic AI
Use it with your favorite AI tools
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