Rust AI Agent Skills

Context compaction for AI code assistants – Give your AI structured, token-efficient access to 17+ languages including Elixir, Python, TypeScript, JavaScript, Rust, and more. Quick Install · Security · Developers · AI Assistants · Docs The core problem: AI code assistants waste context on blind searches. Grep dumps entire files when you only need a function signature, leaving less room for actual

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

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An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.

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   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

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Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

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⭐ Like this project? Please star the repository on GitHub to show your support and stay updated! ⭐ Modern AI-powered coding assistants (like Cursor, Cline, Roo Code, etc.) excel at understanding code structure and syntax but often struggle with the specifics of rapidly evolving libraries and frameworks, especially in ecosystems like Rust where crates are updated frequently. Their training data cut

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.

Master Rust 1.75+ with modern async patterns, advanced type system

A Rust-based Model Context Protocol (MCP) server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments. - V8 JavaScript Execution: Run arbitrary JavaScript code in a secure, isolated V8 engine. - TypeScript Support: Run TypeScript code d

An MCP server that provides full text search for code declarations. Uses SQLite with FTS5 and universal ctags to index and search functions, classes, structures, enums, and other code elements. Supports all languages that ctags supports including Python, C, Go, C++, JavaScript, Rust, Java, and many others. - Python 3.13 - Universal Ctags 6.2.0 - SQLite with FTS5 support (included in Python 3.13) J

A Model Context Protocol (MCP) server written in Rust that fetches stock price data from stooq.com. - Latest stock prices - Get real-time stock price data - Historical data - Retrieve historical stock data with custom date ranges - Multi-market support - Access stocks from 5 major markets - Rust 1.75+ This will install to ~/.stooq-mcp/. To customize: The install script will: 1. Build the project 2

A professional Model Context Protocol (MCP) server for embedded debugging with probe-rs. Provides AI assistants with comprehensive debugging capabilities for embedded systems including ARM Cortex-M, RISC-V microcontrollers with real hardware integration. - 🚀 Production Ready: Real hardware integration with 22 comprehensive debugging tools - 🔌 Multi-Probe Support: J-Link, ST-Link V2/V3, DAPLink,

A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents. Works perfectly with: Claude Desktop Claude Code (CLI) Cline / Roo Code Any other MCP-compliant client. Unlike other memory solutions that require a complex stack (Python + Vector DB + Graph DB), this project is a single, self-contained executable. ✅ No Extern

A Model Context Protocol (MCP) server for interacting with the Solvitor API. This server provides tools to access the AI-powered platform that helps developers extract IDL files from closed-source Solana smart contracts and decompile them. This MCP server exposes the following tools for interacting with the Solvitor API: - Extract IDL (Interface Definition Language) from any Solana program using r

rust-cargo-docs-rag-mcp is an MCP (Model Context Protocol) server that provides tools for Rust crate documentation lookup. It allows LLMs to look up documentation for Rust crates they are unfamiliar with. This README focuses on how to build, version, release, and install the project using two common paths: 1. pkgx (build/install locally from source) 2. Docker image (published to GitHub Container R