Using xAI models w/ SSE MCP servers in Claude Desktop

Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custom alerts via email, ensuring smarter workflows.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

MCP server for news articles using the Webz.io API

How to create a professional, production‑ready chatbot server powered by IBM Watsonx.ai and exposed via the Model Context Protocol (MCP) Python SDK.

An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Image Search, Video Search and News Search capabilities

Este es un ejemplo de MCP (Model Context Protocol) es una arquitectura que permite que un modelo de lenguaje interactúe con herramientas externas mediante mensajes estructurados. Es el principio detrás de los "plugins" o "herramientas" que usa ChatGPT.

An MCP server that provides real-time AIS positions from the Saillogger network into AI applications

A Model Context Protocol (MCP) server for integrating AI assistants with Printify's print-on-demand platform

A Model Context Protocol (MCP) server for Pi-hole

A Model Context Protocl (MCP) server for Laravel 12 Documentation

A simple MCP server for search news articles

OtterBridge is a lightweight, flexible server for connecting applications to various Large Language Model providers. Following the principles of simplicity and composability outlined in Anthropic's guide to building effective agents, OtterBridge provides a clean interface to LLMs while maintaining adaptability for different use cases. Currently supporting Ollama, with planned expansions to support other providers like ChatGPT and Claude.

# Xueqiu MCP 基于雪球API的MCP服务，让您通过Claude或其他AI助手轻松获取股票数据。 ## 项目简介 本项目基于[pysnowball](https://github.com/uname-yang/pysnowball)封装了雪球API，并通过MCP协议提供服务，使您能够在Claude等AI助手中直接查询股票数据。 ## 安装方法 本项目使用`uv`进行依赖管理。请按照以下步骤进行安装： ```bash # 克隆仓库 git clone https://github.com/liqiongyu/xueqiu_mcp.git cd xueqiu_mcp # 使用uv安装依赖 uv venv && uv pip install -e . ``` ## 配置 ### 配置雪球Token 1. 在项目根目录创建`.env`文件 2. 添加以下内容： ``` XUEQIU_TOKEN=您的雪球token ``` * 快捷方式： ```bash echo 'XUEQIU_TOKEN="xq_a_token=xxxxx;u=xxxx"' > .env ``` 关于如何获取雪球token，请参考[pysnowball文档](https://github.com/uname-yang/pysnowball/blob/master/how_to_get_token.md)。 ## 运行服务 使用以下命令启动MCP服务： ```bash uv --directory /path/to/xueqiu_mcp run main.py ``` 或者，如果您已经配置了Claude Desktop： ```json "xueqiu-mcp": { "args": [ "--directory", "/path/to/xueqiu_mcp", "run", "main.py" ], "command": "uv" } ``` ## 功能特性 - 获取股票实时行情 - 查询指数收益 - 获取深港通/沪港通北向数据 - 基金相关数据查询 - 关键词搜索股票代码 ## 展示图   ## 致谢 - [pysnowball](https://github.com/uname-yang/pysnowball) - 雪球股票数据接口的Python版本 - [fastmcp](https://github.com/fastmcp) - MCP服务框架 ## 许可证 [MIT License](./LICENSE)

An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems

MCP sever for fetching latest Keyclaok documentation in LLM friendly format

A Simple MCP Server

A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge graphs.

Datax is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.

全妙新闻播报MCP Server 是一个基于阿里云百炼API的新闻聚合服务，专注于实时获取热点新闻资讯。

A Model Context Protocol (MCP) server for searching and retrieving LinkedIn job postings via the RapidAPI LinkedIn Data API.

Instantly query European financial data for AI. This FastMCP server connects the FinancialReports.eu API to powerful language models, making complex reports easy to search, analyze, and explain