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3ilm-mcp

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MCP server exposing 3ilm — a curated knowledge base of 1,032 smart contract vulnerability findings from 10 fully-reconciled Sherlock audit contests. Search patterns by keyword, get acceptance rates, and learn from real accepted/rejected examples.

auditbug-bountydefimcpsecuritysherlocksmart-contractsolidityvulnerabilities
Versions collected2
Direct dependencies4From release 1.0.1
Last observed20 Oct, 19:46 UTC

README

Current package documentation

3ilm MCP Server

MCP server exposing 3ilm — a curated knowledge base of 1,032 smart contract vulnerability findings from 10 fully-reconciled Sherlock audit contests.

Built for AI agents, security researchers, and audit tools that need structured data on which bug classes get paid, at what rates, and why.

What it is

3ilm (Arabic: علم, "knowledge") contains:

  • 1,032 verified findings from 10 Sherlock contests (fully reconciled against contest outcomes)
  • 12 vulnerability pattern categories with real acceptance rates, not estimates
  • Accepted and rejected examples per category — learn what passes triage

Tools

ToolDescription
search_vulnerabilitiesKeyword search across all 12 categories. Returns matching patterns with acceptance rates and examples.
get_pattern_detailsFull stats table for one specific pattern: totals, acceptance rate, Sherlock-specific note, examples.
list_patternsAll 12 patterns ranked by volume with 🟢🟡🔴 acceptance indicators.

Install

npx 3ilm-mcp

Add to Claude / Cursor

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "3ilm": {
      "command": "npx",
      "args": ["-y", "@holistis/3ilm-mcp"]
    }
  }
}

Cursor — add to .cursor/mcp.json:

{
  "mcpServers": {
    "3ilm": {
      "command": "npx",
      "args": ["-y", "@holistis/3ilm-mcp"]
    }
  }
}

Example queries

Ask your AI assistant:

  • "What is the acceptance rate for oracle manipulation findings on Sherlock?"
  • "Show me all vulnerability patterns and their payout rates"
  • "Search for reentrancy vulnerabilities — what percentage get accepted?"
  • "What does a accepted flash loan finding look like vs a rejected one?"

Data source

All data from the verified sherlock/_index.json in the 3ilm knowledge base. Findings are reconciled against actual contest outcomes — no scraping, no estimates.

The 12 patterns: fee-miscalculation, dos-griefing, reentrancy, trusted-actor, overflow, staleness, rounding, access-control, oracle-manipulation, mev-slippage, liquidation, flash-loan.

  • HTTP API (pay-per-query, USDC on Base): https://wazir-x402.duckdns.org/api/vuln-search?q=oracle
  • x402 Tollbooth: all endpoints listed at /api/status

License

MIT

Downloads & popularity

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Versions 2

Collected releases
VersionPublishedDirect dependenciesOpen version
1.0.1Registry latest26 Jul 20264
1.0.026 Jul 20264

Package advisories

0
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This describes our collected data; it is not a security assessment.

Repository

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holistis/3ilm-mcp

Shared repository data · GitHub

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Metadata history

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Current collected state Current

Observed since 20 Oct, 19:46 UTC

No superseded metadata states collected. Unchanged observations do not create new revisions.

Record identity

package:ddd3c18ef8f293450d802d98936d242688a0f20537b1d6b92dfc5695a8090d5f