"Information about IDA" matching MCP servers:

Executes IDAPython scripts in IDA Pro through any MCP-compatible AI assistant, enabling AI-powered binary analysis with full access to IDA's API.

MCP Server for automated reverse engineering with IDA Pro.

A server that provides remote binary analysis capabilities through IDA Pro's headless mode, allowing users to manage and manipulate functions, variables, and other binary elements via the Multi-Client Protocol.

Enables AI assistants to remotely control IDA Pro for reverse engineering and binary analysis, including executing Python scripts, retrieving binary information, searching values, text, and byte sequences, and getting disassembly.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

A comprehensive learning project demonstrating MCP server implementation with tools for calculator operations, file management, and system information retrieval, including Google ADK integration patterns and best practices.

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

MCP server for reverse engineering that enables interaction with IDA Pro for analysis tasks such as decompilation, disassembly, and memory engagement reports.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools like calculator and greeting functions, plus system information resources.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

An MCP server that exposes Language Server Protocol features to external clients, allowing access to hover information, definitions, completions, references, and rename functionalities.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

MCP server to provide Sketch layout information to AI coding agents like Cursor

Enables AI agents to reverse-engineer binaries they own or are authorized to test, exposing static analysis through Ghidra or IDA (functions, strings, xrefs, decompilation, disassembly, raw bytes) plus controlled Windows Sandbox runs. Every recorded claim must cite quoted evidence and addresses, which a verifier checks, and unexamined areas are reported as unknown rather than clean.

A starter template for building Model Context Protocol (MCP) servers using TypeScript and Zod for schema validation. It provides a foundational structure and examples for implementing custom tools and resources, such as calculators and system information endpoints.

Implements a Model Context Protocol server that connects with Zerodha Kite API, allowing users to buy/sell stocks and retrieve holdings and positions information.