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Mcpwner

Mcpwner

github.com/PigyonOther57Updated 10w ago

About Mcpwner

MCPwner is an MCP server that integrates security testing tools into LLM-driven workflows for autonomous security research. It is aimed at security researchers who want an agent to handle reconnaissance, code audit and PoC validation, with every finding recorded in a shared ledger.

Key features

  1. 01Integrates SAST, SCA, secrets and IaC scanners
  2. 02Reconnaissance, DAST and coverage-guided fuzzing
  3. 03CodeQL with builtin and custom queries
  4. 04PoC script sandbox with deterministic verdicts
  5. 05Persistent findings ledger with deep-merge upserts

Use cases

  1. 01Running SAST and SCA scans on a codebase and collecting results
  2. 02Validating whether a suspected vulnerability is exploitable
  3. 03Dynamic testing of web applications in authorized engagements

MCP support

This project is an MCP server that exposes more than 55 containerized security tools to MCP clients, including upsert_finding and generate_report for managing findings.

Details

From the project README

MCPwner

MCPwner Badger Avatar
Beware the Badger

Model Context Protocol server for autonomous security research

Docker MCP Python License

Compatible with:

Kiro Cursor Claude VS Code Windsurf


Table of Contents

Overview

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.

Workflow

MCPwner is the tool server; your LLM agent is the brain. A typical deep-research engagement:

PhaseWhat happensMCPwner tools used
WorkspaceClone target, detect stackcreate_workspace, detect_languages
DiscoverBroad scan for known patternsrun_sast_scan, run_sca_scan, run_secrets_scan, run_reconnaissance_chain, execute_query
TriageKill false positives, prove reachabilityindex_code_facts, query_code_facts, execute_query (custom CodeQL)
ResearchHunt novel bugs via diffs and variant analysisdiff_discovery, run_fuzzing_scan, custom CodeQL
ProveEmpirical validation with deterministic oraclesrun_poc_scan (sandbox), run_dast_scan, run_utilities_scan (chromium)
ReportOnly oracle-verified findings shipupsert_finding, generate_report

The ledger uses deep-merge upserts, so a later phase's review verdict never clobbers the earlier poc data (and vice-versa) - and it stays consistent if the agent's context is reset mid-engagement.

Integrated Tools

Reconnaissance

README imageREADME imageREADME imageREADME imageREADME image
SubfinderAmassNmapMasscanffuf
README imageREADME imageREADME imageREADME imageREADME image
bbothttpxKatanagauArjun
README imageREADME image
wafw00fKiterunner

Static Application Security Testing (SAST)

README imageREADME imageREADME imageREADME imageREADME image
CodeQLPsalmGosecBanditSemgrep

README imageREADME imageREADME imageREADME imageREADME imageREADME image
BrakemanPMDNodeJsScanJoernYASAOpenGrep

Source Fuzzing

README imageREADME imageREADME imageREADME image
AtherisJazzerJazzer.jsPHP-Fuzzer

Secrets Scanning

README imageREADME imageREADME imageREADME imageREADME image
GitleaksTruffleHogdetect-secretsWhispersHawk-Eye

Software Composition Analysis (SCA)

README imageREADME imageREADME imageREADME image
GrypeSyftOSV-ScannerRetire.js

Infrastructure & IaC Security

README imageREADME imageREADME imageREADME imageREADME image
CheckovKICSTerrascanTFSecHadolint

Dynamic Application Security Testing (DAST)

README imageREADME imageREADME imageREADME imageREADME image
sqlmapNoSQLMapCommixDalfoxSSTImap

README imageREADME imageREADME image
SSRFmapjwt_toolinteractsh

Utilities

README imageREADME imageREADME imageREADME imageREADME image
LinguistWireMockMitmproxyaiohttpChromium w. Playwright

PoC Validation

PoC-Script Sandbox
Deterministic oracle runner

The PoC sandbox runs agent-authored Python/bash exploit scripts inside the target network and returns a deterministic oracle verdict (pass/fail based on exit code or explicit markers). This is how MCPwner proves logic bugs, IDOR/BOLA, race conditions, and access-control bypasses that off-the-shelf DAST cannot express.

Plugins

MCPwner supports an optional plugin system for domain-specific tooling. Plugins add Docker services, custom scanning rules, and report templates without modifying the core. MCPwner works with or without any plugins installed.

Available Plugins
PluginDescriptionServices Added
wp-scanWordPress security scanning — WP testing range with Xdebug, WPScan enumeration, PHPGGC deserialization chains, CMSeeK CMS detection, WP-aware semgrep/joern ruleswp-range, wp-db, wpscan-scanner, phpggc-service, cmseek-service
Enabling a Plugin
  1. Add the plugin name to .env:

    PLUGINS=wp-scan
    COMPOSE_PROFILES=sast,dast,...,wp-scan
    
  2. Use the compose wrapper to start services (auto-includes plugin compose files):

    ./scripts/compose.sh up -d --build
    

    Or use manual -f stacking:

    docker compose -f docker-compose.yaml -f plugins/wp-scan/docker-compose.yaml --profile wp-scan up -d
    

Plugin tools (e.g., wpscan, phpggc) register automatically via manifest.yaml and appear as MCP tools when their containers are healthy.

Writing a Plugin

A plugin is a directory under plugins/ with:

  • docker-compose.yaml — services (build contexts relative to project root for -f stacking)
  • manifest.yaml — tool registration (name, category, config path, default URL)
  • docker/ — Dockerfiles and service code
  • rules/ — custom SAST rules (optional)
  • templates/ — report templates (optional)
  • install.sh / uninstall.sh — setup scripts for external installations

Plugins can also live in a separate repository and be linked into plugins/ via symlink or install.sh.

Installation

Prerequisites

System Requirements:

  • Docker Engine 20.10+ and Docker Compose 2.0+
  • 8GB RAM minimum (16GB recommended for running multiple tools)
  • 20GB free disk space (security tool images are large)
  • Supported platforms: Linux, macOS, Windows (with WSL2)

MCP Client:

  • Claude Desktop, Cursor, Kiro, or any MCP-compatible client
Setup
  1. Clone the repository:

    git clone https://github.com/nedlir/mcpwner.git
    cd mcpwner
    
  2. Configure the server:

    cp .env.example .env
    cp config/config.yaml.example config/config.yaml
    
  3. Start the services:

    docker compose up -d --build
    
  4. Verify services are running:

    docker compose ps
    
Connect Your IDE

Once Docker containers are running, add MCPwner to your MCP client.

Dynamic Tool Registration: MCPwner uses Docker Compose profiles for opt-in tool categories. The .env file's COMPOSE_PROFILES variable controls which containers start. The MCP server probes running containers at startup and registers only healthy tools - if a container is down, its tools simply don't appear. Linguist (language detection / code-facts index) runs unconditionally; the dynamic-testing utilities (Chromium, WireMock, mitmproxy, fuzzer) are opt-in and come up with the dast and poc profiles.

One-Click Install (requires Docker running):

Kiro Cursor Claude VS Code Windsurf

Manual Configuration:

Add to your MCP configuration file (claude_desktop_config.json, mcp.json, etc.):

{
  "mcpServers": {
    "mcpwner": {
      "command": "docker",
      "args": ["exec", "-i", "mcpwner-server", "python", "src/server.py"],
      "env": {}
    }
  }
}

Restart your MCP client to load the new server configuration.

Scanning Local Projects

Mount your projects into the container by adding a volume in docker-compose.yaml:

services:
  mcpwner:
    volumes:
      - /path/to/your/projects:/mnt/projects:ro

Then use create_workspace with source_type="local" and source="/mnt/projects/my-project".

Documentation

Additional guides live in the project wiki:

  • Quickstart - start the tool fleet with COMPOSE_PROFILES and wire the MCP server into your client.
  • Configuration - .env / COMPOSE_PROFILES, config.yaml, and the tool port map.
  • Troubleshooting - missing tools, unhealthy containers, and image-build failures.
  • Adding a tool - wire a new scanner container into the fleet and the tool registry.

Contributing? See CONTRIBUTING.md for code style, pre-commit hooks, and tests.

Architecture

graph LR
    subgraph IDE[" "]
        LLM[🤖<br/>LLM]
        Client[MCP Client]
        LLM -.-> Client
    end

    Server[MCPwner Server]

    SAST[SAST Tools]
    Secrets[Secrets Scanning]
    SCA[SCA Tools]
    Recon[Reconnaissance]
    CodeQL[CodeQL Service]
    Linguist[Language Detection]
    Utilities[Utilities]
    IaC[IaC Security]
    Fuzzing[Source Fuzzing]
    DAST[DAST Tools]
    PoC[PoC Sandbox]

    Client -->|JSON-RPC 2.0| Server
    Server -->|HTTP| SAST
    Server -->|HTTP| Secrets
    Server -->|HTTP| SCA
    Server -->|HTTP| Recon
    Server -->|HTTP| CodeQL
    Server -->|HTTP| Linguist
    Server -->|HTTP| Utilities
    Server -->|HTTP| IaC
    Server -->|HTTP| Fuzzing
    Server -->|HTTP| DAST
    Server -->|HTTP| PoC

    style LLM fill:#7C3AED,stroke:#5B21B6,stroke-width:3px,color:#fff
    style Client fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#fff
    style Server fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#fff
    style SAST fill:#E74C3C,stroke:#C0392B,stroke-width:2px,color:#fff
    style Secrets fill:#9B59B6,stroke:#7D3C98,stroke-width:2px,color:#fff
    style SCA fill:#1ABC9C,stroke:#16A085,stroke-width:2px,color:#fff
    style Recon fill:#00BCD4,stroke:#0097A7,stroke-width:2px,color:#fff
    style CodeQL fill:#E67E22,stroke:#CA6F1E,stroke-width:2px,color:#fff
    style Linguist fill:#3498DB,stroke:#2874A6,stroke-width:2px,color:#fff
    style Utilities fill:#6D28D9,stroke:#4C1D95,stroke-width:2px,color:#fff
    style IaC fill:#059669,stroke:#047857,stroke-width:2px,color:#fff
    style Fuzzing fill:#B91C1C,stroke:#7F1D1D,stroke-width:2px,color:#fff
    style DAST fill:#D35400,stroke:#A04000,stroke-width:2px,color:#fff
    style PoC fill:#DC2626,stroke:#991B1B,stroke-width:2px,color:#fff
    style IDE fill:none,stroke:#ddd,stroke-width:2px,stroke-dasharray: 5 5

Design Principles:

  • Container isolation for security tool execution
  • Standardized output (SARIF/JSON) for LLM consumption
  • Dynamic tool registration - only healthy containers appear as tools
  • Persistent findings ledger with deep-merge semantics across research phases
  • Deterministic oracles for PoC validation (exit code, markers, OOB callbacks, XSS execution)
Agent Workflow

MCPwner is tool infrastructure. A single agent session - model-agnostic (Claude, Cursor, Kiro, Gemini, or any MCP-capable coding agent) - drives the whole engagement, running each phase itself (recon → API mapping → environment → code audit → vulnerability research → PoC → review) and recording progress in the findings ledger. There is no separate orchestration service or configuration file: MCPwner exposes tools, the agent supplies the workflow.

For a long, isolated sub-task - canonically, standing up and driving a live target environment in a container - the agent may optionally offload to a helper session if its host supports one, but the flow never depends on it.

Data Persistence

MCPwner persists workspace metadata, CodeQL databases, and findings across container restarts using file-based storage in the shared Docker volume (/workspaces/.metadata/). The findings ledger is always available (no container health gate) - it's how the agent tracks findings across phases and recovers state after a context reset.

Workspace Cleanup:

  • delete_files=True, delete_metadata=False - Free disk space, preserve history
  • delete_files=True, delete_metadata=True - Complete removal
  • delete_files=False, delete_metadata=True - Remove from list, keep files

License

Apache 2.0

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