Crawler Summary

ChessAI answer-first brief

CrewAI Agent and MCP Server to give review about your chess performance from lichess ChessAI — Lichess MCP Server An MCP (Model Context Protocol) server that exposes Lichess player data as tools, resources, and prompts — usable directly from Claude Desktop or any MCP-compatible client. What's inside | File | Purpose | |---|---| | lichess_mcp.py | MCP server — tools, resources, prompts | | lichess_tools.py | Raw Lichess API helpers (used by CrewAI agent) | | agent.py | Standalone CrewAI agent for CLI Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

ChessAI is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

ChessAI

CrewAI Agent and MCP Server to give review about your chess performance from lichess ChessAI — Lichess MCP Server An MCP (Model Context Protocol) server that exposes Lichess player data as tools, resources, and prompts — usable directly from Claude Desktop or any MCP-compatible client. What's inside | File | Purpose | |---|---| | lichess_mcp.py | MCP server — tools, resources, prompts | | lichess_tools.py | Raw Lichess API helpers (used by CrewAI agent) | | agent.py | Standalone CrewAI agent for CLI

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Nagarjung91

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Nagarjung91

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

sh

python3 -m venv venv && source venv/bin/activate
   pip install -r requirements.txt

sh

cp .env.example .env

env

AZURE_API_KEY=your-azure-openai-key
   AZURE_API_BASE=https://your-endpoint.openai.azure.com/
   AZURE_API_VERSION=2024-12-01-preview

   DEFAULT_LICHESS_USER=your-lichess-username

   LANGFUSE_PUBLIC_KEY=pk-lf-...
   LANGFUSE_SECRET_KEY=sk-lf-...
   LANGFUSE_HOST=https://us.cloud.langfuse.com

json

{
  "mcpServers": {
    "lichess-chess-coach": {
      "command": "/path/to/venv/bin/python3",
      "args": ["/path/to/lichess_mcp.py"],
      "env": {
        "DEFAULT_LICHESS_USER": "your-lichess-username"
      }
    }
  }
}

sh

source venv/bin/activate
mcp dev lichess_mcp.py

sh

source venv/bin/activate
python3 agent.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI Agent and MCP Server to give review about your chess performance from lichess ChessAI — Lichess MCP Server An MCP (Model Context Protocol) server that exposes Lichess player data as tools, resources, and prompts — usable directly from Claude Desktop or any MCP-compatible client. What's inside | File | Purpose | |---|---| | lichess_mcp.py | MCP server — tools, resources, prompts | | lichess_tools.py | Raw Lichess API helpers (used by CrewAI agent) | | agent.py | Standalone CrewAI agent for CLI

Full README

ChessAI — Lichess MCP Server

An MCP (Model Context Protocol) server that exposes Lichess player data as tools, resources, and prompts — usable directly from Claude Desktop or any MCP-compatible client.

What's inside

| File | Purpose | |---|---| | lichess_mcp.py | MCP server — tools, resources, prompts | | lichess_tools.py | Raw Lichess API helpers (used by CrewAI agent) | | agent.py | Standalone CrewAI agent for CLI use |

MCP Server

Tools

| Tool | Description | |---|---| | get_lichess_perfs | All ratings across every format | | get_lichess_rating_history | Full rating timeline | | get_lichess_performance | Detailed stats for one format (bullet, blitz, rapid, etc.) | | get_lichess_profile | Full public profile |

Resources

  • lichess://player/{username}/profile — formatted profile card
  • lichess://player/{username}/rating-history — rating history summary

Prompts

  • coach_player — coaching analysis for a player + format
  • compare_formats — compare performance across all formats

Setup

  1. Clone the repo and create a virtual environment:

    python3 -m venv venv && source venv/bin/activate
    pip install -r requirements.txt
    
  2. Copy .env.example and fill in your keys:

    cp .env.example .env
    
    AZURE_API_KEY=your-azure-openai-key
    AZURE_API_BASE=https://your-endpoint.openai.azure.com/
    AZURE_API_VERSION=2024-12-01-preview
    
    DEFAULT_LICHESS_USER=your-lichess-username
    
    LANGFUSE_PUBLIC_KEY=pk-lf-...
    LANGFUSE_SECRET_KEY=sk-lf-...
    LANGFUSE_HOST=https://us.cloud.langfuse.com
    

Claude Desktop integration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "lichess-chess-coach": {
      "command": "/path/to/venv/bin/python3",
      "args": ["/path/to/lichess_mcp.py"],
      "env": {
        "DEFAULT_LICHESS_USER": "your-lichess-username"
      }
    }
  }
}

Restart Claude Desktop. The tools will be available immediately in any chat.

Run the MCP inspector (for testing)

source venv/bin/activate
mcp dev lichess_mcp.py

Opens the inspector UI at http://localhost:6274.

Run as a standalone agent (CLI)

source venv/bin/activate
python3 agent.py

Observability

All tool calls are traced via Langfuse — inputs, outputs, and latency are captured automatically. Set your Langfuse keys in .env to enable.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
Github ReposUpdated 4h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:49:11.637Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Nagarjung91",
    "href": "https://github.com/NagarjunG91/ChessAI",
    "sourceUrl": "https://github.com/NagarjunG91/ChessAI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:19:45.600Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T19:19:45.600Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nagarjung91-chessai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to ChessAI and adjacent AI workflows.