3ilm-mcp
Enables AI agents and security researchers to query a curated knowledge base of 1,032 verified smart contract vulnerability findings from Sherlock audit contests, including acceptance rates and examples per vulnerability pattern.
README
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
| Tool | Description |
|---|---|
search_vulnerabilities |
Keyword search across all 12 categories. Returns matching patterns with acceptance rates and examples. |
get_pattern_details |
Full stats table for one specific pattern: totals, acceptance rate, Sherlock-specific note, examples. |
list_patterns |
All 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", "3ilm-mcp"]
}
}
}
Cursor — add to .cursor/mcp.json:
{
"mcpServers": {
"3ilm": {
"command": "npx",
"args": ["-y", "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
Same underlying dataset as vulnerability-acceptance-rates.json — CC0, downloadable directly, no server required. That file is the canonical, publicly reproducible source; the numbers here are copied from it, not independently computed. Findings are reconciled against actual contest outcomes — no scraping, no estimates. See METHODOLOGY.md for the exact reconciliation method.
The 12 patterns: fee-miscalculation, dos-griefing, reentrancy, trusted-actor, overflow, staleness, rounding, access-control, oracle-manipulation, mev-slippage, liquidation, flash-loan.
How this relates to bug-bounty-intelligence-mcp
Both MCP servers read the same verified data — they differ in scope:
| 3ilm-mcp (this repo) | bug-bounty-intelligence-mcp | |
|---|---|---|
| Pattern search / acceptance rates | Free | Free (list_vulnerability_patterns) |
| Full-repo contract scan | Not offered | $5 USDC via x402 (scan_contract) |
| Cost | Always free, no paid tier | Free tools + one paid tool |
| Best for | Just want the pattern data via MCP, nothing else | Also want an actual scan of your own contracts |
If you only need to query acceptance rates, either server works identically for that. Use 3ilm-mcp if you want the smaller, free-only package; use bug-bounty-intelligence-mcp if you also want the paid full-repo scan tool.
Related
- 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
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