A Model Context Protocol server for Excel file manipulation

The best way to create, deploy, and share MCP Servers

If you can read ~100 lines of Python, you understand agents.

A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.

基于 AI 的个人成长轨迹分析系统，通过记录生活、回顾历史、分析模式帮助用户更好地理解自己，实现持续成长。包含智能路由、RAG 检索、自主任务智能体等功能。

If you can read ~200 lines of Python, you understand MCP.

Qurio brings multi-provider models, custom agents, reusable skills, MCP servers, HTTP tools, retrieval, long-term memory, Deep Research, and Scrapbook into one operating surface.

A template repo for writing and publishing local, remote, DXT, and binary MCP servers using Deno.

Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

基于SpringBoot+Vue3+LangChain4j前后结合的类CSDN+稀土掘金 技术交流博客智能化平台，包含用户端+管理端的结合Agent开发的JavaWeb全栈项目

A service that enables LLMs without native OpenAI tool calling support to simulate standard OpenAI tool calling, support claude code、roocode、kilocode,etc.

Open WebUI Tools for Google Services: Manage contacts, send emails, and schedule Google Meet meetings directly from your AI assistant using Google APIs.

DEPRECATED AI Chat assistant with access to Github, Google (calendar/mail/etc), Slack, Twitter, and more all through Arcade tools

an agent that manages a folder of project descriptions as blocks and mix them to generate an optimal resume for a given job description

tool management service for performing vector tool calling at scale.

Open WebUI Tool Template & Skeleton: A starting point and guide for developing custom tools to extend your AI assistant's capabilities in Open WebUI. Includes examples and best practices.

The Open eXecution Protocol Specification

A cloud of orchestrated, vision-enabled AI agents - autonomously browsing the web like a human would 😸

Arcade Tools for using LLMs to interact with Obsidian Vault contents

A LangGraph-powered fantasy RPG engine that builds an agentic world while utilizing tool-calling, retrieval-augmented generation (RAG), and dynamic summarization for efficient token usage. Players interact with evolving storylines, NPCs, inventory, and game logic through a language model acting as the game master.