How to Use the Chess.com MCP in Pydantic AI

Q: How does Pydantic AI validate Chess.com player statistics?

The framework parses the JSON returned by getplayerstats against your defined Pydantic models. If a rating field is missing or contains an invalid type, it raises a validation error immediately.

Q: Can I use Pydantic AI to parse Chess.com game archives?

Yes. Your agent can call getplayergamearchives and parse the list of URLs into strongly-typed Python objects, ensuring every archive link is a valid URL before downloading games.

Q: Can I verify if a player is online using this library?

Yes, you can call isplayeronline to check a user's active status. The response is validated as a boolean flag, making it easy to use in conditional logic.

Type-safe Chess.com data integration with Pydantic AI runtime validation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chess.com MCP to Pydantic AI

Create your Vinkius account to connect Chess.com 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.

GDPR Free for Subscribers

Setup Chess.com with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate Chess.com profile schemas at runtime

Stop silent data corruption before it breaks your chess application. When your agent calls `get_player_profile` or `get_player_stats`, Pydantic AI forces the incoming JSON to match your exact Python models. If Chess.com updates its API or returns an unexpected rating format, the framework throws a validation error immediately. This ensures your application never processes garbage data or hallucinates a player's peak blitz rating.

Type-safe tactical puzzle parsing with Pydantic AI

Build bulletproof chess training software with strict schema enforcement. Your agent retrieves daily challenges using `get_daily_puzzle` or `get_random_puzzle`, validating the FEN strings and move lists at the boundary. This MCP Server provides structured JSON that maps directly to your Pydantic schemas. If a puzzle solution contains malformed moves, the validation layer catches it before the user ever sees the broken puzzle.

Track Chess.com club rosters with strict type safety

Manage club data with absolute structural integrity. Your agent can query `get_club_info` and `get_club_members` to parse member lists and administrator details without worrying about missing dictionary keys. By using a type-safe MCP setup, you ensure that every username and profile URL returned is a valid string. The system rejects any partial or corrupted payloads instantly, keeping your local club database clean.

Setup guide

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

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

result = await agent.run("List recent Chess.com transactions")
print(result.output)

Get your connection token →

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chess.com now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chess.com MCP in Pydantic AI

The framework parses the JSON returned by `get_player_stats` against your defined Pydantic models. If a rating field is missing or contains an invalid type, it raises a validation error immediately.

Yes. Your agent can call `get_player_game_archives` and parse the list of URLs into strongly-typed Python objects, ensuring every archive link is a valid URL before downloading games.

You define those fields as optional in your Pydantic schema when calling `get_player_monthly_games`. The framework will gracefully handle null values without crashing your agent.

Yes, you can call `is_player_online` to check a user's active status. The response is validated as a boolean flag, making it easy to use in conditional logic.

The data flows directly between your local Python runtime and the Vinkius-managed MCP Server. No intermediary databases store your queries, and the zero-trust architecture ensures your player lookups remain completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript