"Using Ghidra for Reverse Engineering and Decompiling Software" matching MCP servers:

Lets an MCP client collect the marketing evidence behind any URL — ad libraries, social, SEO, pixels, founders, Reddit, positioning history — as a token-cheap scorecard plus citable evidence index and unknowns. Enables the agent to fetch specific evidence, follow a per-channel analysis method, validate citations and grounding, and produce a step-by-step playbook for copying the growth engine.

MCP server providing 200 compressed engineering careers across software, systems, mechanical, civil, and DevOps, with tools for listing, searching, and retrieving career profiles.

A tool for SHACL-based assessment, comparison, and coverage analysis of digital passport data models, designed for AI-agent orchestration.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.

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.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

An MCP server for counting electrical and communication symbols in engineering PDF drawings, supporting symbol detection, candidate review, and export of markup and quantities.

Enables AI agents to manage citations in Microsoft Word via EndNote, including DOI-verified paper search, RIS import/export, and genuine CWYW IEEE citations.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

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.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

Provides engineering leadership benchmarks, developer value calculation, and mentoring playbooks based on real 1:1 sessions with 300+ engineering leaders.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

Enables querying Shopify App Store intelligence including 17,000+ apps, 829,000+ reviews, category rankings, and AI-analyzed review sentiment, with optional integration of user's own app metrics.