How to Use the Epic Online Services & Social Analytics MCP in Pydantic AI

Q: How do I configure Epic Online Services & Social Analytics in Pydantic AI using MCP?

Use the MCPToolset class with the server's HTTP endpoint. Pass this toolset directly to your agent's constructor to expose all eight tools.

Build type-safe Epic Online Services & Social Analytics tools with Pydantic AI for bulletproof game tracking.

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Connect Epic Online Services & Social Analytics MCP to Pydantic AI

Create your Vinkius account to connect Epic Online Services & Social Analytics 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 Epic Online Services & Social Analytics with Pydantic AI

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Perplexity

Validate social data at runtime with this MCP Server

This MCP Server validates each player profile matches your expected Python types when calling `get_account_details`. Pydantic AI inspects the response fields instantly. If Epic's API structure changes, the agent fails loudly instead of passing corrupted data downstream. This makes tracking tools like `get_friend_list` completely reliable in production.

Type-safe achievement and progression tracking

Stop worrying about null values in achievement data by pulling progression metrics with `get_player_achievements`. The agent cross-references these against `get_achievement_definitions` to validate progression. This guarantees your calculations on game completion rates are always accurate. Your agent safely compares these metrics against `get_game_leaderboard` data without type mismatches.

Clean player resolution and status checks

Resolving usernames becomes bulletproof when your agent uses `search_account_by_display_name`. It gets the correct ID, then checks `get_player_presence` to see if they are online. It also handles defensive checks. By querying `get_blocked_users`, the agent ensures it does not suggest interactions with blocked accounts, keeping social features safe.

Setup guide

Set up Epic Online Services & Social Analytics 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": {
        "epic-online-services-social-analytics-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Epic Online Services & Social Analytics tools.",
)

result = await agent.run("List recent Epic Online Services & Social Analytics 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 Epic Online Services. 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 Epic Online Services & Social Analytics MCP in Pydantic AI

The framework inspects the JSON schemas of the server's tools, such as `get_account_details`. It builds dynamic Pydantic models to validate the data at runtime.

Yes. Since Pydantic AI is model-agnostic, you can connect this MCP Server to local models or commercial APIs while maintaining strict type validation.

Use the `MCPToolset` class with the server's HTTP endpoint. Pass this toolset directly to your agent's constructor to expose all eight tools.

Pydantic AI will raise a validation error immediately. This prevents your agent from making decisions based on malformed or incomplete leaderboard data.

The server queries Epic's API directly without storing player IDs or achievement records. All data is processed in memory inside a secure sandbox and discarded immediately.

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