"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

MCP server for AgentMinds collective intelligence platform, enabling AI agents to scan websites for security/SEO/performance issues, pull personalized recommendations, and share findings across the network.

Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

MCP server for Cursor that scans codebases for security issues including hardcoded secrets, SAST, vulnerable dependencies, and IaC misconfigurations.

MCP server that enables AI coding tools to scan projects for security vulnerabilities, secret leaks, and compliance issues, generating Korean-language audit reports.

A Model Context Protocol (MCP) server that detects cryptographic algorithms, identifies obfuscation, reconstructs standalone implementations, generates SDKs, and bypasses anti-debugging.

Lets MCP clients browse bug bounty programmes, manage reports, and triage issues on BugSecure with user-approved OAuth permissions, including read-only mode.

Enables searching and analyzing CVEs and vulnerabilities from multiple sources, optimized for PR review scenarios to help developers identify the latest security issues.

Enables scanning projects for leaked secrets and security issues directly from Claude Code, detecting secret categories, dangerous code patterns, and git hygiene issues.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

Enables scanning Android and iOS app packages from MCP clients for security issues, mapping findings to OWASP MASVS, CWE, and CVSS, and downloading pentest-style reports.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Enables users to deterministically audit MCP servers for security issues across manifests, source, runtime responses, multi-call state, identity, and install scripts, and to run an inline gateway that gates tool calls and scans responses before returning them.

Enables plain-English website security checks from an MCP client, offering tools to assess site findings, explain individual issues, and list all available security checks.

Enables Solidity developers and security auditors to decode EVM calldata, pinpoint revert locations in debug traces, calculate storage slot layouts, and scan contracts for reentrancy and Yul assembly issues.

Enables MCP-compatible AI clients to analyze Android APK and iOS IPA files for security issues through natural language, including permission auditing, API endpoint extraction, hardcoded secret detection, Firebase inspection, and third-party SDK enumeration.

Connects AI assistants to AttackForge's Self-Service API with full endpoint coverage, response size optimization, and local caching for efficient use in long conversations.

Provides AI agents with structured access to the OWASP Bug Logging Tool (BLT) ecosystem for logging bugs, triaging issues, and managing security workflows. It enables actions like submitting vulnerabilities, tracking contributor leaderboards, and awarding gamified bacon points through a unified interface.

Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.

Enables iOS reverse engineering through MCP tools that connect clients to SSH, Frida, and optional IDA for runtime inspection, app automation, decryption, debugging, and tweak development.

Enables AI agents and automation to perform Ghidra reverse-engineering tasks through MCP, including decompilation, live debugging, P-code emulation, data-flow analysis, and headless script execution, with specialized AArch64-aware emulation.

Enables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.

Enables AI assistants to capture and analyze network, PCAP, USB, and Bluetooth packet data through Scapy, tshark/Wireshark, and USBPcap, returning structured JSON for network debugging and hardware reverse engineering.

MCP server that connects WinDbg, IDA Pro, and x64dbg to AI assistants for reverse engineering and Windows security research, offering 160+ tools for debugging, analysis, and cross-debugger workflows.

Enables AI agents to audit web headers and DOM code, API routes, and database queries for vulnerabilities such as XSS, BOLA/IDOR, and SQL/NoSQL injection, returning scored CWE findings. It also automatically synthesizes secure drop-in replacement code with unified git diffs for review.

Provides 85 tools for binary analysis including static analysis, disassembly, decompilation, ESIL emulation, live debugging, vulnerability scanning, and exploit development through structured JSON responses over the Model Context Protocol.

MCP server wrapping GDB and GEF for dynamic analysis, enabling interactive debugging and memory inspection via GDB/MI protocol.