Lichess.org Open Chess Intelligence MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lichess.org Open Chess Intelligence as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Lichess.org Open Chess Intelligence. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Lichess.org Open Chess Intelligence?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lichess.org Open Chess Intelligence MCP Server
Equip your AI agent with the most transparent and real-time chess intelligence via Lichess.org Open Chess Intelligence. This high-performance server provides deep access to the world's leading open-source chess platform, allowing your agent to instantly retrieve real-time player metadata, monitor official tournament broadcasts with technical move lists, and identify elite players currently live on Lichess TV. Whether you are performing technical scouting, auditing recent player activity, or following a major global championship broadcast, your agent acts as a dedicated chess data engineer and analyst through natural conversation.
LlamaIndex agents combine Lichess.org Open Chess Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Real-time Monitoring — Follow live matches on Lichess TV or official tournament broadcasts with sub-second technical updates
- Comprehensive Auditing — Retrieve detailed player profiles, ratings for all variants, and chronological activity logs
- Match Intelligence — Fetch complete post-game statistics and PGN data for recent matches to analyze tactical patterns
- Community Insights — Search for team memberships and monitor live streamers to understand the global social chess graph
The Lichess.org Open Chess Intelligence MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Lichess.org Open Chess Intelligence to LlamaIndex via MCP
Follow these steps to integrate the Lichess.org Open Chess Intelligence MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Lichess.org Open Chess Intelligence
Why Use LlamaIndex with the Lichess.org Open Chess Intelligence MCP Server
LlamaIndex provides unique advantages when paired with Lichess.org Open Chess Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lichess.org Open Chess Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lichess.org Open Chess Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lichess.org Open Chess Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lichess.org Open Chess Intelligence tools were called, what data was returned, and how it influenced the final answer
Lichess.org Open Chess Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lichess.org Open Chess Intelligence MCP Server delivers measurable value.
Hybrid search: combine Lichess.org Open Chess Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lichess.org Open Chess Intelligence to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lichess.org Open Chess Intelligence for fresh data
Analytical workflows: chain Lichess.org Open Chess Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
Lichess.org Open Chess Intelligence MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Lichess.org Open Chess Intelligence to LlamaIndex via MCP:
get_daily_puzzle
Get the Lichess puzzle of the day
get_leaderboards
Get top player rankings for all variants
get_player_data
Get public data for a Lichess player
get_team_members
List members of a Lichess team
get_tv_channels
). See who is playing live on Lichess TV
get_user_activity
Get recent activity log for a player
get_user_games
Get match history for a player
get_users_online_status
Check if multiple users are online
list_broadcasts
List ongoing official tournament broadcasts
list_live_streamers
List chess streamers currently live
Example Prompts for Lichess.org Open Chess Intelligence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lichess.org Open Chess Intelligence immediately.
"Check which Grandmasters are currently playing live on Lichess TV."
"Retrieve the last 5 games for player 'UserX' and provide the PGN links."
"Analyze the ongoing official broadcast for the 'Candidates Tournament 2024'."
Troubleshooting Lichess.org Open Chess Intelligence MCP Server with LlamaIndex
Common issues when connecting Lichess.org Open Chess Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLichess.org Open Chess Intelligence + LlamaIndex FAQ
Common questions about integrating Lichess.org Open Chess Intelligence MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Lichess.org Open Chess Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lichess.org Open Chess Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.