How to Use the Appfigures MCP in Pydantic AI

Q: How do I configure Appfigures with Pydantic AI?

Install pydantic-ai-slimmcp. Create an MCPToolset pointing to your Vinkius HTTP endpoint and pass it in the toolsets array of your Agent.

Type-safe app store analytics. Connect Appfigures to Pydantic AI and validate every revenue report and ranking update at runtime.

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Connect Appfigures MCP to Pydantic AI

Create your Vinkius account to connect Appfigures 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 Appfigures with Pydantic AI

Ask AI about this MCP

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Claude

Perplexity

Type-Safe Financials

Silent data corruption destroys financial reporting. When your agent pulls daily proceeds or active subscriptions, you need absolute certainty the schema matches your expectations. The framework validates the output of `get_revenue_report` and `get_sales_report` against your strict Pydantic models. If the store API changes a field name, the system fails loudly rather than hallucinating fake revenue numbers.

Pydantic AI MCP Server Tracking

Building a keyword tracker requires predictable data structures. Your model-agnostic agent needs to know exactly how category positions and feature placements are formatted. By calling `get_ranks` and `list_featured`, the agent fetches raw visibility metrics. Pydantic AI ensures the returned integer ranks and string categories map perfectly to your database schema.

Verified Review Processing

Scraping text from app stores often results in messy, unpredictable payloads. You want clean, validated objects representing user feedback and store connections. Use `get_external_accounts` to verify linked stores, then target specific apps with `search_products`. When the agent runs `list_reviews`, every rating and comment gets strictly typed before your LLM even tries to summarize the sentiment.

Setup guide

Set up Appfigures 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": {
        "appfigures-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Appfigures 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 Appfigures. 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 Appfigures MCP in Pydantic AI

Install pydantic-ai-slim[mcp]. Create an MCPToolset pointing to your Vinkius HTTP endpoint and pass it in the toolsets array of your Agent.

No, that class is deprecated. You must use the unified MCPToolset approach to connect this MCP Server.

Yes. The framework is model-agnostic, meaning you can pull sales reports and feed them into OpenAI, Anthropic, or a local model.

The framework catches the discrepancy immediately. A validation error stops the agent from executing further, preventing bad data from entering your system.

Vinkius isolates your session in an ephemeral V8 sandbox. Your daily downloads, linked external accounts, and revenue figures are processed securely without persistent storage.

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