"How to automate workflows in DaVinci Resolve and Fusion" 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.

Enables AI coding agents to audit websites for PHP runtime vulnerabilities, compile a live Zero-PHP Next.js App Router replacement preview from a WordPress/PHP site, and retrieve remediation guidance.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

Enables AI assistants to scan Terraform and Dockerfiles for security misconfigurations, returning structured Checkov findings that can be explained in plain language.

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

Connects an AI assistant to an already-running mitmweb session so it can read, search, diff, replay, and generate code from the same network flows shown in the UI.

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows.

Enables interaction with the APVISO AI-powered penetration testing platform to manage targets, initiate scans, and retrieve vulnerability findings. It allows developers to integrate security testing workflows directly into MCP-compatible tools like Claude Code and Cursor.

Enables AI agents to orchestrate security research workflows by connecting to containerized security tools via MCP, allowing automated vulnerability analysis and pipeline execution.

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.

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 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.

Performs static security analysis of Solana programs and generates x402 payment invoices for automated agent-to-agent audit workflows.

MCP server for Shannon Lite security workflows, enabling configuration, scan orchestration, workspace management, and report reading.

Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.

Enables agents to store, search, and manage a personal penetration testing knowledge base via MCP, using BM25-ranked retrieval with Chinese tokenization, plus draft approval, deduplication, and sensitive-data redaction workflows.

Provides AI agents with 37 OSINT tools and 12 data sources to perform unified reconnaissance, domain analysis, and attack surface mapping. It enables agents to query, correlate, and reason across platforms like Shodan, VirusTotal, and Censys in parallel.

Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.

Integrates ProjectDiscovery security tools to perform automated reconnaissance, subdomain discovery, and vulnerability scanning. It enables comprehensive bug hunting workflows by chaining tools like subfinder, naabu, and nuclei into a unified pipeline.

Enables controlled, evidence-first web application penetration testing and bug bounty workflows, including scope enforcement, reconnaissance, human-approved surface triage, OWASP WSTG test execution, and SHA-256 evidence capture.

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.

Exposes Tenable security operations as MCP tools for AI-powered security workflows, enabling asset, vulnerability, scan, plugin, and tag management via natural language.

Enables AI agents to conduct authorized pentests and bug-bounty workflows with scope enforcement, audit logging, reconnaissance, safe vulnerability checks, payload/wordlist generation, and professional report generation.

Enables interaction with Metasploit Framework for authorized security testing, including exploit searches, payload management, network scanning with nmap, and database operations for penetration testing workflows.

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.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables coding assistants to sign in to a user's account, scan source code with static analysis, and review findings through a shared chat thread from Claude Code, Codex, or VS Code.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

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.