Model Context Protocol server for autonomous vulnerability discovery
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MCPwner is an MCP server that model Context Protocol server for autonomous vulnerability discovery. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 68/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcpwner": {
"env": {},
"args": [
"exec",
"-i",
"mcpwner-server",
"python",
"src/server.py"
],
"command": "docker"
}
}
}Are you the author?
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MCPwner is a Model Context Protocol (MCP) server that integrates security testing tools into LLM-driven workflows. It provides a unified interface for secret scanning, static analysis (SAST), software composition analysis (SCA), reconnaissance, dynamic application security testing (DAST), and vulnerability research including 0-day discovery.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
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Model Context Protocol server for autonomous security research
Compatible with:
MCPwner is an MCP server that gives your LLM agent a full offensive-security toolkit. It exposes 55+ containerized tools through a single MCP interface - SAST, SCA, secrets, IaC, reconnaissance, DAST, coverage-guided fuzzing, CodeQL (builtin and custom queries), a headless browser, an OOB callback server, a PoC-script sandbox with deterministic oracles, and a persistent findings ledger.
The architecture is designed for agent-driven vulnerability research: a single agent session - model-agnostic (Claude, Cursor, Kiro, Gemini, or any MCP-capable coding agent) - works through the research phases (recon, code audit, PoC validation, adversarial review), recording every step in the shared findings ledger. Each finding progresses from hypothesis through empirical proof to verified report - "no exploit, no report."
Note: This project is under active development. Learn more about MCPs here.
MCPwner is the tool server; your LLM agent is the brain. A typical deep-research engagement:
| Phase | What happens | MCPwner tools used |
|---|---|---|
| Workspace | Clone target, detect stack | create_workspace, detect_languages |
| Discover | Broad scan for known patterns | run_sast_scan, run_sca_scan, run_secrets_scan, run_reconnaissance_chain, execute_query |
| Triage | Kill false positives, prove reachability | index_code_facts, query_code_facts, execute_query (custom CodeQL) |
| Research | Hunt novel bugs via diffs and variant analysis | diff_discovery, run_fuzzing_scan, custom CodeQL |
| Prove | Empirical validation with deterministic oracles | run_poc_scan (sandbox), run_dast_scan, run_utilities_scan (chromium) |
| Report | Only oracle-verified findings ship | upsert_finding, generate_report |
The ledger uses deep-merge upserts, so a later phase's