Rust AI Agent Skills

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

You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing

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.

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

Give your agents memory that survives the session, so they stop re-deriving what they already learned and stop repeating past mistakes. Hybrid recall (BM25 + dense + RRF), bi-temporal history, and AES-256-GCM at rest, exposed as 55+ MCP tools that work with any host. 73.8% on LongMemEval's official harness (vs Zep 63.8%, Mem0 49.0%). One binary. One file. No Docker. No Postgres. No cloud. Local-fi

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,

Production-ready Rust SDK for the Model Context Protocol (MCP) with zero-boilerplate development and progressive enhancement. Build MCP servers in seconds with automatic schema generation, type-safe handlers, and multiple transport protocols. - Rust 1.89.0+ (Edition 2024) - Check with rustc --version - Tokio async runtime Add to your Cargo.toml: Or with cargo: TurboMCP uses feature flags for progr

A fast, lightweight MCP server for Sentry, written in Rust. Compared to the official Node.js server: - Memory: 10x less RAM usage - Startup: instant cold start - Disk: single binary, no runtime dependencies - Tokens: fewer tools = smaller tool list in context This MCP server provides tools to interact with Sentry's API: - getissuedetails - Retrieve detailed information about a Sentry issue includi

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

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

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

Jotdown is a Model Context Protocol (MCP) server that allows large language models (LLMs) to interact with Notion and also generate Markdown Books. It provides two primary tools for LLMs: - 👉 Notion Integration: Create or update pages in Notion with content generated by the LLM. - 👉 Mdbook Generation: Generate a mdbook from content and manage the structure. Jotdown enables LLMs to seamlessly int

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

The ultimate Rust SDK and high-performance MCP server for Obsidian-flavored Markdown (.ofm) and standard .md vaults. TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular Rust SDK for building applications that consume markdown directories, and a full-featured MCP server that works out of the box with Claude and other AI agents. Build your own a

🚀 1:1 Optimized Rust Implementation of WCGW (What Could Go Wrong) 🚀 Winx is a specialized Model Context Protocol (MCP) server that provides high-performance tools for LLM code agents. It implements the core functionality of WCGW in pure Rust for maximum efficiency and stability. Benchmarks on i9-13900K + RTX 4090 (WSL2) - Rust 1.75+ - Linux / macOS / WSL2 Add to ~/.config/Claude/claudedesktopcon

Spreadsheet automation for AI agents. Read, profile, edit, and recalculate .xlsx workbooks with tooling designed to be token-efficient, structurally aware, and agent-friendly. spreadsheet-kit ships two surfaces: Both share the same core engine and support .xlsx / .xlsm (read + write) and .xls / .xlsb (discovery only). Downloads a prebuilt native binary for your platform. No Rust toolchain required

   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

TypeScript SDK for S2 This repo contains the official TypeScript SDK for S2, a serverless data store for streams, built on the service's REST API. S2 is a managed service that provides unlimited, durable streams. Streams can be appended to, with all new records added to the tail of the stream. You can read from any portion of a stream – indexing by record sequence number, or timestamp – and follow

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

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