15350 listings found(showing 12001-12050)
Historai is a command-line interface tool that leverages LLM technology to analyze your shell history and suggest relevant commands. It's designed for developers looking to enhance their productivity by quickly retrieving useful commands from their past interactions.
The iCloud Calendar MCP Server provides a compliant solution for managing iCloud calendars through the MCP framework. It is ideal for developers looking to integrate iCloud calendar functionalities into their applications securely.
IL2CPP Dump Analyzer is a utility designed for analyzing IL2CPP dump.cs files from Unity games. It is ideal for developers and researchers working with Unity's IL2CPP technology who need to extract and analyze data from game dumps.
Image Annotator MCP is a professional server designed for annotating screenshots with various markers and callouts. It is ideal for teams looking to enhance their documentation workflows using Playwright MCP.
Image Reader MCP is a server that provides tools for listing local image files and reading their content, designed specifically for integration with LLM agents. It is ideal for developers looking to enhance their applications with image processing capabilities using a Model Context Protocol server.
InfCodeX is a lightweight AI coding agent that functions as a CLI tool or npm library, offering modularity and support for multiple LLM providers. It is designed for developers looking for a flexible solution with features like session memory and parallel execution.
This tool provides an instant MCP server for creating images and videos using FAL. It is designed for developers looking to integrate multimedia capabilities into their applications with Claude Desktop.
This project demonstrates how to connect AutoGen agents with Notion using the Model Context Protocol, allowing for natural language control of workspace operations. It is ideal for developers looking to enhance their Notion experience with AI capabilities through a structured API workflow.
ITQA is a platform designed for traffic regulation consultation and intelligent travel planning. It is ideal for developers looking to build applications that leverage traffic-related AI capabilities.
This tool leverages n8n to create an AI agent that analyzes resumes and job descriptions, enhancing the job application process. It is designed for job seekers and recruiters looking to streamline their hiring efforts with AI assistance.
Jailbreak MCP allows users to break free from constraints imposed by their MCP Client. It is designed for developers looking to enhance their MCP server capabilities and explore new functionalities.
JobGPT MCP Server enables users to search for jobs, auto-apply, generate resumes, and track applications using various AI clients. It is designed for job seekers looking to automate their job search and application processes.
JSON Schema Sketch infers compact schema descriptions from any JSON value, optimizing it for AI and LLM tool-use contexts. This tool is ideal for developers looking to enhance their applications with efficient JSON schema generation.
This project showcases AI-powered semantic search capabilities specifically designed for e-commerce websites. It is ideal for developers looking to implement advanced search functionalities using Retrieval-Augmented Generation architecture.
Keyshade MCP Server is a robust framework designed for managing AI models and their contexts. It is ideal for developers looking to implement secure and efficient AI model management solutions.
This repository provides comprehensive notebooks for learning about AI, focusing on Langchain and related technologies. It is ideal for beginners and practitioners looking to enhance their understanding of AI concepts and applications.
This repository provides a series of demos showcasing how to use Java and Quarkus to connect large language models with applications and data. It is designed for developers interested in integrating LLMs into their Java-based projects.
LangGraph Projects is a multi-agent AI framework designed for building various projects using LangGraph. It is ideal for developers looking to leverage multi-agent systems in their applications.
This tool provides a backend framework for multi-turn agents using LangGraph and LangChain, aimed at facilitating Q&A and research tasks. It is designed for researchers and developers looking to enhance their academic writing and research processes.
This tool enables users to learn new languages by selecting random words, translating them, and creating Anki flashcards. It is ideal for language learners looking for an interactive way to enhance their vocabulary.
Lattis is an experimental framework for building central and pluggable servers for Pydantic-based AI agents, featuring thin TUI and web clients. It is designed for developers looking to create flexible AI solutions with a focus on modularity and ease of integration.
Light Blue is an agentic framework designed for building AI applications, providing developers with the tools needed to create intelligent systems. It is ideal for developers looking to leverage AI capabilities in their projects.
This tool allows users to scrape, classify, and interact with their saved posts on LinkedIn using advanced AI technologies. It's designed for professionals looking to leverage their LinkedIn content for insights and engagement.
Lite MCP SDK is a lightweight version of the Model Context Protocol SDK, designed for efficient function calling in JavaScript. It is ideal for developers looking to integrate agentic AI capabilities into their applications.
This toolkit enables developers to build advanced AI-driven conversational voice agents using Retrieval-Augmented Generation (RAG). It is ideal for those looking to create intelligent voice assistants that provide context-aware responses in real-time.
LLM as Judge Evaluation Plugins provide a framework for evaluating language models as Semantic Kernel plugins. This tool is designed for developers looking to integrate evaluation capabilities into their AI applications.
LLM Council is a multi-agent orchestration system designed for managing interactions with Claude Code. It is ideal for developers looking to streamline agent-based workflows and enhance automation capabilities.
Local Deep Research is a command-line interface tool designed for conducting deep research with local large language models. It is ideal for AI researchers and developers looking for privacy-focused, offline capabilities in their research workflows.
Local Multi-Agents is a Python utility designed for running multiple agents locally using LangGraph, Ollama, and Qwen. It is ideal for developers looking to experiment with agent-based architectures in a local environment.
This tool is a locally built Retrieval-Augmented Generation (RAG) agent that utilizes Ollama and Langchain. It is designed for developers looking to implement RAG capabilities in their local environments using Python.
LoopGPT JS is a JavaScript implementation designed to facilitate the use of LoopGPT for developers. It is ideal for those looking to integrate advanced AI capabilities into their JavaScript applications.
Machina is a customizable personal AI voice assistant designed for Windows, featuring integration with various plugins for speech recognition and natural language processing. It is ideal for developers looking to create tailored voice interaction experiences using .NET.
This repository provides a framework for Retrieval-Augmented Generation (RAG) combined with Multi-Agent Systems (MAS). It is designed for developers looking to implement advanced AI solutions using these methodologies.
Mastodon MCP is a server implementation of the Model Context Protocol designed for Mastodon. It is aimed at developers looking to integrate or extend functionalities within the Mastodon ecosystem.
MCP 4Get is a server that facilitates seamless access to the 4get.ca Meta Search Engine API for LLM clients using FastMCP. It is designed for developers looking to integrate advanced search capabilities into their applications.
This tool transforms MCP tools into collaborative, reasoning agents using modern agent frameworks. It is designed for developers looking to enhance their applications with intelligent agent capabilities.
MCP Claude Hub is a server designed to orchestrate multiple sessions of Claude Code, providing a streamlined environment for managing AI interactions. It is ideal for developers looking to integrate and manage multiple AI sessions efficiently.
This repository provides a demo implementation of a Model Context Protocol (MCP) client, showcasing the use of Web Workers and Server-Sent Events. It is designed for developers looking to understand and implement MCP in their applications.
This tool provides a simple client for interacting with Anthropic's Model Context Protocol. It is ideal for developers looking to integrate this protocol into their Rust applications.
This project provides a minimal implementation of the Model Context Protocol (MCP) using Node.js and TypeScript, showcasing client-server communication and structured message handling. It is ideal for developers interested in exploring modern AI tool integration workflows and backend development.
This repository provides a codebase for implementing the MCP elicitation feature on both client and server sides. It is designed for developers looking to integrate elicitation capabilities into their applications.
MCP GraphQL Tools provides a GraphQL server for AI assistants, enabling seamless integration with various AI models. It is designed for developers looking to build and manage AI assistant functionalities using the Model Context Protocol.
MCP Hooks provides a collection of tools and helpers for creating MCP servers and clients. It is designed for developers looking to build and manage their own MCP infrastructure efficiently.
MCP Iceberg Service is a server designed for interacting with Apache Iceberg catalogs, facilitating data lake discovery and metadata search through LLM prompts. It is ideal for data engineers and developers looking to enhance their data lake management capabilities with AI integration.
MCP Markdown Server is a server application based on the Model Context Protocol (MCP) that provides capabilities for creating, editing, searching, converting Markdown documents to HTML, and managing them. It is designed for developers and teams looking to enhance their Markdown document processing with intelligent features using the iFlytek Spark model API.
MCP Memory for Claude is a server designed to enable memory capabilities through a knowledge graph. It is ideal for developers looking to enhance Claude's functionality with memory integration.
This is a reference implementation of the MCP OAuth 2.1 server based on the draft MCP OAuth specification. It is designed for developers looking to implement or understand the Model Context Protocol in their applications.
MCP One is a unified entrance for managing various types of MCP servers, providing a streamlined interface for users. It is designed for developers and system administrators looking to simplify their server management processes.
This repository provides tools to build and host Coded MCP Servers within the UiPath environment. It is ideal for developers looking to integrate and manage AI agents using the Model Context Protocol in Python.
This Python client library provides a convenient way to interact with the MCP Run API. It is designed for developers looking to integrate MCP Run functionalities into their Python applications.