BrowserWing turns your browser actions into MCP commands Or Claude Skill, allowing AI agents to control browsers efficiently and reliably. Say goodbye to slow, token-heavy LLM interactions — let agents call commands directly for faster automation. Perfect for AI-driven tasks, browser automation, and boosting productivity.

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.

TokToken is a fast, single-binary C codebase indexer for AI coding agents. Powered by universal-ctags and SQLite FTS5, it provides precise symbol search, dependency tracking, and an MCP server. TokToken reduces LLM context token usage by 88-99% by retrieving exact code symbols instead of reading entire files. Zero runtime dependencies.

Use fast-agent to use MCP tools with local LLM, API or Claude Desktop. WIP

I build Agentic AI systems that reason, plan, collaborate, and act—combining MCP, RAG, multi-agent workflows, LLMs, Voice AI, Vision, and NLP to turn ideas into real products. I move fast from prototype to scalable apps using FastAPI + React. Six hackathon wins shaped my builder mindset and drive to push AI into the real world.

A lightning-fast, secure MCP Server and CLI tool for supercharging LLM agents and terminals against Obsidian vaults.

AI-powered web-scraping agent that uses the Brightdata MCP Server, Fast API, Python, Streamlit UI, Anthropic LLM

High-performance Go tools for LLM Agents. 100x faster than Python. Includes native MCP Server, token-optimized search, and persistent project memory.

Markdown step-by-step guide for Devs or LLMs to MCP-wrap any library. Works with Claude, Cursor, Continue, fast-agent, and more.

An MCP-powered local automation agent. Control your File System, Excel, and IDE using LLMs. Built with Rust/Tauri. Fast, Private & Secure. 🦀

Fast Local Agents with Tools (mcp-client edition) is a lightweight package for connecting local (self-hosted) LLMs to tooling+data and for prototyping agentic flows. The philosophy behind this codebase is streamlined invocation of standard inferencing APIs (ollama, vllm via OpenAI interface compatibility) without relying on other agent frameworks!

LLM-Zoomcamp-2025-M2.5-Agents-Workshop-Communicate-MCP-Server-with-FastMCP

MCP-Stock-Analyzer is a multi-agent stock analysis system built on Model Context Protocol (MCP), combining OpenAI’s OSS-20B LLM, LangGraph workflows, and yfinance-powered market data to deliver fast, auditable technical and fundamental insights through a FastAPI backend and Streamlit UI.

Narad is a modular desktop AI assistant with a React + Electron frontend and a Flask MCP backend. It supports GitHub, Email, and WhatsApp agents, and answers questions using a local LLM. Fast, private, and extendable—built for offline productivity.

Lightweight code indexing and semantic search engine that helps AI agents write code faster while using fewer tokens. Parses codebases with Tree-sitter AST to generate structured headers, with optional LLM insights and vector embeddings. Integrates via MCP server or CLI. Supports TypeScript, JavaScript, C#