"Understanding Reverse Processes or Reverse Engineering" matching MCP servers:

Exposes 18 typed tools that drive real static-analysis engines (Ghidra, apktool, WABT, TShark, evmole, Rizin) over a single MCP endpoint to decompile binaries, audit APKs, scan EVM contracts, inspect WebAssembly, firmware, SQLite, and pcap data. Every call returns signed, verifiable evidence with an evidence_id, provider identity, SHA-256 artifact digest, and explicit limitations for security research, malware analysis, forensics, and CTF work.

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

Enables reverse image search using Yandex via Apify, returning structured JSON with matching pages, similar images, and more.

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables an agent to reverse engineer how any product is distributed from a single URL, returning an evidence-cited scorecard, per-community verdicts on where promotion is allowed (channel, mine, gated, closed, unknown), and a deterministic 7/30-day plan. It also exposes the underlying evidence, content, playbooks, run comparison, and report validation as callable tools and named prompts.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Deploys a minimal MCP-compatible Python tool server on Amazon EKS that establishes an outbound WebSocket connection to an AgentCore Gateway. It exposes two tools (get_system_info and echo_data) for tool discovery and invocation through the MCP protocol.

An MCP server that gives an AI assistant a set of real mechanical-engineering tools. Provides deterministic tools like material properties, beam analysis, unit conversion, and curve fitting for engineering calculations.

Enables searching and browsing a curated matrix of 100+ engineering tools by name, tag, or use case, and retrieving ready-to-use boilerplate files for 30+ popular stacks.

Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.

Enables reverse DCF/FCFF valuations, solving for required margins, growth, or reinvestment to achieve a target enterprise value, with forward DCF, consistency validation, feasibility grids, and automated evals.

Provides structured templates for security questionnaires, RFP responses, and competitive battlecards to help AI agents and sales engineers draft responses efficiently.

An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.

MCP server for the Vibe-Marketer Agent API that enables generating ads, auditing landing pages, and running local preflight checks on ad compliance, with an autonomous agent loop to improve results.

Enables LLMs to query real job data and summarize backend job failures using MCP tools backed by a SQLite database.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.