How to Use the Chess.com Global Intelligence MCP in CrewAI

Q: How would a crew use Chess.com Global Intelligence and CrewAI to analyze a country's chess scene?

A 'Country Specialist' agent would use getcountrydetailschess to get the country's player list. It could then delegate tasks to other agents to get stats for the top 10 players using getplayerprofile and getplayerstats.

Q: Can one agent find a puzzle and another analyze it with Chess.com Global Intelligence and CrewAI?

Absolutely. An 'Initiator Agent' calls getrandomchesspuzzle and puts the FEN string into the crew's shared context. An 'Analysis Agent' then picks up that FEN to perform its own evaluation before a 'Reporting Agent' writes about it.

Q: How do I give only certain tools to specific agents in my crew?

When you configure your agent in CrewAI, you can use the toolfilter option in the MCPServerHTTP class. This lets you expose, for example, only getplayerstats to your Analyst Agent, enforcing its role.

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Create your Vinkius account to connect Chess.com Global Intelligence to CrewAI 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 Chess.com Global Intelligence with CrewAI

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Assemble a Player Scouting Crew

Assign roles to your agents. A 'Scout Agent' can use `list_titled_players` to find new talents with an IM title. When one is found, it passes the username to an 'Analyst Agent'. The Analyst Agent then takes over, using `get_player_stats` and `get_player_game_archives` to build a complete profile. A final 'Reporter Agent' can summarize the findings. This is how you automate opposition research or talent discovery.

Autonomous Tournament Monitoring

Set up a crew to watch a tournament. One agent's job is to repeatedly call `get_tournament_metadata` to check the status. A second agent can use the player list to call `get_player_stats` for everyone involved, tracking rating changes in real-time. A third 'Alert Agent' can be configured to watch the shared memory of the crew. If a player's rating jumps significantly or the tournament ends, it can trigger an external action, like sending an email. Your crew runs this whole operation autonomously.

Build a Chess Content Crew with CrewAI

Your crew can create content for a blog or social media. An 'Idea Agent' can pull the `get_daily_chess_puzzle`. It passes the puzzle's FEN to a 'Solver Agent' that analyzes the position. A 'Writer Agent' then takes the analysis and the puzzle solution to draft a post explaining the tactic. This MCP Server provides the raw chess data; your CrewAI agents provide the specialized intelligence to act on it.

Setup guide

Set up Chess.com Global Intelligence MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Chess.com Global Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Chess.com Global Intelligence Analyst",
    goal="Access and analyze Chess.com Global Intelligence data via MCP.",
    backstory="Expert analyst with direct Chess.com Global Intelligence access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Chess.com Global Intelligence transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Chess.com Global Intelligence Analyst",
        goal="Access and analyze Chess.com Global Intelligence data via MCP.",
        backstory="Expert analyst with direct Chess.com Global Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Chess.com Global Intelligence transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Chess.com Global Intelligence MCP in CrewAI

Yes, this is a perfect use case. One agent can scan for players using `list_titled_players` (e.g., new FMs). It then tasks another agent to pull deep stats and game history using `get_player_stats` and `get_player_game_archives`.

A 'Country Specialist' agent would use `get_country_details_chess` to get the country's player list. It could then delegate tasks to other agents to get stats for the top 10 players using `get_player_profile` and `get_player_stats`.

Absolutely. An 'Initiator Agent' calls `get_random_chess_puzzle` and puts the FEN string into the crew's shared context. An 'Analysis Agent' then picks up that FEN to perform its own evaluation before a 'Reporting Agent' writes about it.

When you configure your agent in CrewAI, you can use the `tool_filter` option in the `MCPServerHTTP` class. This lets you expose, for example, only `get_player_stats` to your Analyst Agent, enforcing its role.

The server is designed for privacy. It only accesses public data from Chess.com, such as player statistics and game records, not any private user information. Each request is processed within a V8 Isolate on the Vinkius platform, meaning it's completely sandboxed and ephemeral.

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