How to Use the Influencers Club MCP in Pydantic AI

Q: How do I register the Influencers Club MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp and initialize MCPToolset with your Vinkius HTTP endpoint. Pass this toolset into the toolsets argument of your Agent constructor to expose all 8 creator tools.

Q: Can my Pydantic AI agent track its own Influencers Club API usage?

Yes, your agent can call getusage and getuserinfo to check remaining credits. Pydantic AI validates these credit counts as strict integers, ensuring your budget logic never runs into type mismatches.

Build type-safe creator discovery pipelines with Pydantic AI to validate every influencer profile and email address at runtime.

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Connect Influencers Club MCP to Pydantic AI

Create your Vinkius account to connect Influencers Club 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.

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Setup Influencers Club with Pydantic AI

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Type-Safe Creator Discovery using Pydantic AI

The `search_creators` tool queries the influencer index using structured filters. Because Pydantic AI validates all incoming data against strict schemas, your agent will raise an immediate validation error if the API returns unexpected field formats. This type-safety prevents silent pipeline failures when pulling large lists of creators. You can chain this with `get_similar_creators` to find lookalike profiles, knowing that every single profile field matches your exact Python type hints.

Strict Audience Analysis Validation

The `get_audience_overlap` tool calculates the shared follower base between multiple social accounts. This tool provides the raw percentage data your agent needs to decide if a creator partnership is worth the spend. Pydantic AI ensures that the returned overlap ratios and handle lists conform to your runtime models before your logic processes them. This eliminates the risk of your agent hallucinating mock metrics or misinterpreting null values from the MCP Server.

Verifying Profiles with Zero Silent Failures

The `enrich_by_email` tool resolves a raw email address into a fully populated social profile. If a profile is missing critical contact fields, Pydantic AI flags it instantly rather than letting a broken record slip into your database. You can also use `enrich_by_handle` to verify active accounts and pull their latest stats. Since the toolset integrates directly via the unified `MCPToolset` class, you get clean, type-hinted responses for every single handle lookup.

Setup guide

Set up Influencers Club 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "influencers-club-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Influencers Club tools.",
)

result = await agent.run("List recent Influencers Club transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Influencers Club. 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.

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Common questions about Influencers Club MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass this toolset into the `toolsets` argument of your `Agent` constructor to expose all 8 creator tools.

The framework will immediately raise a validation error instead of passing dirty data to your model. This guarantees that tools like `get_creator_posts` only return structured data that matches your Python models.

Yes, your agent can call `get_usage` and `get_user_info` to check remaining credits. Pydantic AI validates these credit counts as strict integers, ensuring your budget logic never runs into type mismatches.

Yes, the unified toolset supports SSE and Streamable HTTP transports. This allows your agent to stream post data from `get_creator_posts` directly into your processing pipeline without blocking.

All contact details and social profiles are processed inside isolated, ephemeral execution environments. The MCP Server never stores the queried emails or handles, ensuring your data transit complies with strict privacy standards.

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