15350 listings found(showing 12351-12400)
Logic Pro MCP Control allows users to control Logic Pro using natural language commands, enhancing the music production experience. It is designed for musicians and producers looking to streamline their workflow with AI-driven automation.
LoopGPT Next is a UI frontend designed for the LoopGPT self-prompting autonomous AI agent, facilitating the debugging of initial prompts. It is ideal for developers and AI enthusiasts looking to enhance their prompt engineering process.
This tool allows AI clients to control Ansys Lumerical FDTD simulations through an MCP interface. It is designed for researchers and engineers looking to automate their simulation workflows.
Macrostrat MCP is a server designed to provide access to geologic data through the Macrostrat API. It is ideal for developers and researchers in geology looking to integrate geological data into their applications.
The Math Olympiad Agent is designed to solve International Mathematical Olympiad-level problems using a self-verification pipeline. It is ideal for students and educators looking to enhance their problem-solving skills with rigorous TeX proofs.
This repository provides a fundamental guide for building AI agents using the MCP framework. It is ideal for developers and enthusiasts looking to understand and implement AI agents effectively.
This tool serves as a client bridge to connect to the Leantime MCP Server, facilitating seamless communication and data exchange. It is designed for developers looking to integrate their applications with the Leantime project management system.
This is a basic terminal-chat based MCP client built with LangChain. It is designed for developers looking to implement a simple chat interface in their applications.
MCP Enet Switcher automates the configuration process for MCP-compatible clients, making it easier to switch between servers without manual edits. This tool is ideal for gamers and server administrators who frequently change their server settings.
This SDK provides a Go implementation of the Machine Control Protocol (MCP) for seamless communication between clients and servers. It is designed for developers looking to integrate tool execution and resource access into their applications.
MCP Interceptor allows users to debug MCP requests in real-time by creating a proxy URL. It is ideal for developers working with Claude or any MCP client who need to monitor traffic flow effectively.
MCP Kibela Server is an implementation designed for integrating with the Kibela API, enabling seamless data interaction. It is ideal for developers looking to enhance their applications with Kibela's capabilities.
MCP Lisp SDK provides a Common Lisp implementation for the Model Context Protocol and Agent-to-Agent Protocol. It is designed for developers looking to build applications that utilize these protocols in a Lisp environment.
MCP Notion is a global server that provides access to all Notion pages within a workspace, enabling seamless integration and management. It is designed for developers and teams looking to enhance their Notion experience with a robust server solution.
MCP Ollama Client is a lightweight client that enables querying multiple MCP servers using a local Ollama LLM. It is designed for developers looking to integrate local language models into their applications.
MCP Server by Searchcraft is a developer-first vertical search engine that facilitates the integration of AI agents into search functionalities. It is designed for developers looking to enhance their applications with advanced search capabilities using AI technologies.
The MCP server for the Ejentum Logic API provides cognitive harnesses that can be utilized by any agentic client. It is designed for developers looking to integrate advanced AI reasoning, code review, and memory functionalities into their applications.
This is a bidirectional MCP integration designed for Strands Agents, facilitating communication and control. It is ideal for developers looking to implement or experiment with multi-agent systems in their applications.
MCP Server Playground is a TypeScript-based framework for building Model Context Protocol servers with OAuth Proxy capabilities. It is designed for developers looking to implement dynamic client registration and authorization workflows in their applications.
MCP Server Requests is a versatile tool for web content retrieval, supporting various HTTP methods and customizable request headers. It is designed for developers and data scientists looking to enhance their web scraping capabilities with LLM integration.
MCP Status Observer is a server designed to monitor the operational status of major digital platforms within the Claude Desktop environment. It is ideal for developers and system administrators looking to ensure the reliability and performance of their applications.
MCP Tailscale is a server designed to manage your Tailscale network through Claude Code and other MCP clients. It is ideal for developers looking to integrate AI capabilities into their mesh networking solutions.
This MCP tool allows for natural language control of Unreal Engine 5.6+, enabling users to build node graphs and automate tasks efficiently. It is designed for developers working on large-scale projects who need specialized Blueprint workflow support.
MedGraphAI is a multi-agent medical assistant designed for medical Q&A, retrieval-augmented generation, and medical image analysis. It is ideal for developers and researchers in the healthcare field looking to enhance their applications with AI-driven medical insights.
Medsim enables agent swarm simulations on world model reconstructions, specifically designed for optimizing trauma center operations. This tool is ideal for researchers and developers interested in healthcare optimization and simulation technologies.
This tool aims to replicate ChatGPT-like memory functionality for Claude and other MCP clients. It is designed for developers looking to enhance their AI applications with memory capabilities.
Meta Loop is an agent-optimization framework designed to enhance the efficiency of AI agents. It is ideal for developers looking to streamline agent workflows and improve performance in their applications.
Micro RAG is a minimalist command-line tool designed for Retrieval-Augmented Generation (RAG) chat with your documents using local LLMs. It is ideal for developers and researchers looking to integrate document-based interactions into their applications using local models.
This repository provides a sample orchestrator for multi-agent systems using the Microsoft Agent Framework. It is designed for developers looking to implement and experiment with agent-based architectures in their applications.
This tool integrates Microsoft Teams with Jira Server, allowing seamless communication and task management. It is designed for teams using Jira who want to enhance their collaboration through Microsoft Teams.
Mill
Mill is a runtime designed for creating agent swarms using TypeScript programs. It is ideal for developers looking to build and manage multiple agents efficiently.
Mini CC is a CLI tool that serves as a code assistant based on the local Ollama model. It integrates LangChain.js to leverage native tool calling capabilities for reliable execution.
Miro Mind Map AI is a plugin that allows users to create mind maps in Miro using ChatGPT. It is designed for Miro users looking to enhance their brainstorming and planning sessions with AI-generated insights.
ML Tuning Assistant is a utility that helps users optimize their machine learning models by providing tuning advice. It is designed for data scientists and machine learning practitioners looking to enhance their model performance.
This tool allows developers to build Model Context Protocol (MCP) servers, clients, and gateways using the familiar NestJS framework. It is ideal for those looking to implement scalable and efficient communication protocols in their applications.
This tool provides a client for the Model Context Protocol, enabling integration with Vercel AI in Next.js applications. It is designed for developers looking to enhance their applications with AI capabilities using a modern framework.
The Model Context Protocol (MCP) server connects an Emby media server to AI clients, enabling enhanced media management and interaction. It is designed for developers and enthusiasts looking to integrate AI capabilities into their media server experience.
The Model Context Protocol (MCP) server for Kanboard enables users to manage projects, tasks, columns, swimlanes, and team collaboration from any MCP-compatible client. It is ideal for teams looking to integrate project management with AI-driven tools.
Multi-Agent Creator is designed for content creation in self-media, addressing challenges like topic selection and slow writing. It utilizes a Multi-Agent architecture to facilitate collaborative generation of titles, outlines, text, and images, enhancing the overall content creation process.
This tool provides a multi-agent orchestration framework specifically designed for GitHub Copilot, enabling the integration of various agents and skills. It is ideal for developers looking to enhance their coding experience with AI-driven assistance.
This multi-agent system facilitates AI-driven market research, enabling organizations to generate use cases and collect resources efficiently. It is designed for teams looking to explore AI solutions and implement innovative strategies effectively.
This project serves as an introductory learning resource for implementing Multi-Agentic Retrieval-Augmented Generation (RAG) using Langchain and LangGraph. It is ideal for developers and learners looking to explore advanced AI concepts and frameworks.
This tool is a multi-modal RAG chatbot that leverages the Vertex AI SDK, Gemini, Langchain, and Chainlit. It is designed for developers looking to build advanced conversational agents that integrate various data modalities.
This project is a next-generation agent system that integrates multimodal perception, knowledge graphs, and industrial-grade vector retrieval. It is designed for users needing advanced logical questioning capabilities through complex document understanding and mixed media input.
This self-hosted platform integrates AI and workflow automation, providing a comprehensive orchestration solution. It is ideal for developers looking to deploy multi-agent systems and automate workflows using Docker.
N8N Claw Agents provides expert agent personas for the self-hosted AI agent system n8n-claw. This tool is designed for developers and teams looking to enhance their automation workflows with intelligent agents.
This tool converts various document formats into structured JSON or text, making it easier for AI agents to process information. It is ideal for developers looking to enhance their workflows in n8n with document conversion capabilities.
This integration allows users to connect N8N with Scrptly, an AI video agent that generates professional videos from prompts and context images. It's ideal for content creators looking to automate video production workflows.
O'Reilly LangGraph provides resources for building AI agents and workflows using LangGraph. It is ideal for developers and researchers looking to deepen their understanding of agentic AI and workflow design.
ObsidianMate is an AI-powered tool that transforms chat and media into organized Markdown notes while managing your Obsidian vault. It is designed for users looking to enhance their note-taking and organization processes using natural language.