** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools

CodeWhisper: AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools

A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools

A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization

ScribePal is an Open Source intelligent browser extension that leverages AI to empower your web experience by providing contextual insights, efficient content summarization, and seamless interaction while you browse.

Hexel is an AI-native OS enabling autonomous decision-making and multi-agent collaboration across various deployments.

Community-built Qwen AI Provider for Vercel AI SDK - Integrate Alibaba Cloud's Qwen models with Vercel's AI application framework

🌐 OpenCrawl: An ethical, high-performance web crawler built for scale A powerful web crawling library that respects robots.txt and rate limits while leveraging Kafka for high-throughput data processing. Built with ethics and efficiency in mind.

The Universal LLM Gateway - Integrate ANY AI Model with One Consistent API

An open-source, AI-powered Functions-as-a-Service (FaaS) platform that enables LLMs like ChatGPT to perform real-world tasks through dynamic function execution. By connecting LLMs to function calls, Ingra unlocks automation, complex integrations, and real-time context loading—paving the way towards true AGI potential and beyond.

MCP server for Microsoft Sentinel. Enables access to Sentinel logs, incidents, analytics, and Entra ID data via a modular, queryable interface. Strictly non-production. Designed for use with Claude and other LLMs.

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

Sidebar Anything is a powerful Chrome extension that lets you open and manage multiple websites in a sidebar. It bypasses X-Frame-Options and copy restrictions for seamless access, with customizable settings and easy navigation—ideal for boosting productivity.

Simple model frotend LLM app for iPhones

This repository contains a modular, scalable chatbot system leveraging LLMs (Large Language Models) with a microservices architecture. The chatbot is built for retrieval-augmented generation (RAG), enabling intelligent, context-aware responses.

A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.

This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.