MCP

A lightweight MCP (Model Context Protocol) server for ODBC built with FastAPI, pyodbc, and SQLAlchemy. This server is compatible with Virtuoso DBMS and other DBMS backends that implement a SQLAlchemy provider. - Get Schemas: Fetch and list all schema names from the connected database. - Get Tables: Retrieve table information for specific schemas or all schemas. - Describe Table: Generate a detaile

Or run the launcher action "Start Development"

Interact with Confluence This is a TypeScript-based MCP server that provides tools to interact with Confluence. It demonstrates core MCP concepts by providing: - Tools for executing CQL queries to search pages - Tools for retrieving the content of Confluence pages - Tools for updating content on Confluence pages - Purpose: Run a CQL query to search for Confluence pages. - Parameters: cql, limit (d

MCP server providing AI assistants with full Datadog observability access. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics. Use environment variables instead of container args: When running with --transport=http: - POST /mcp — MCP protocol endpoint - GET /mcp —

A Model Context Protocol (MCP) server for interacting with Confluence Data Center via REST API. This server provides a set of tools that allow AI models to interact with Confluence content. This MCP server provides the following operations for Confluence: - Execute CQL (Confluence Query Language) searches - Get page content by ID - Get page content with body - Find pages by space key - Find page b

An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search and News Search capabilities - Web Search: Perform a regular search on the web - Image Search: Search the web for images. - News Search: Search the web for news - Video Search: Search the web for videos - Local Points of Interest Search: Search for l

One Codebase. REST for Humans, MCP for AI Agents. Laravel Restify turns your Eloquent models into both JSON:API endpoints and MCP servers -- automatically. Build once, and instantly serve APIs that work seamlessly for developers, apps, and AI agents. Traditional API development requires separate implementations for different consumers. Laravel Restify changes that: - Humans get full-featured JS

Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e

English | 中文 这是一个基于Model Context Protocol (MCP)构建的YCloud WhatsApp API服务器。它能够自动从YCloud WhatsApp OpenAPI规范中生成工具，让AI模型（如Claude）可以直接与YCloud WhatsApp API交互。 在使用此服务器之前，您需要： 1. 在 YCloud官网 注册一个账户 2. 获取您的API密钥（请参阅下面的说明） 3. 安装必要的软件依赖（请参阅下面的说明） - Node.js v16.0.0 或更高版本 - npm v7.0.0 或更高版本 - Claude 桌面应用（如果要与 Claude 集成） - 自动从OpenAPI规范生成MCP工具 - 支持所有YCloud API端点 - 自动处理参数类型和验证 - 支持HTTP请求和响应处理 要使用YCloud API，您需要一个API

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse

A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository for Cline, Roo Code, Cody, Claude Desktop etc. The quickest way to use the Clojars MCP Server is to run it directly with npx: You can also install it globally: To install Clojars Dependency Server for Claude Desktop automatically via Smithery: 1. C

文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式

A professional Model Context Protocol (MCP) server that provides a comprehensive toolkit for interacting with Instagram. This server enables LLMs (like Claude or Gemini) to manage accounts, analyze social graphs, discover content, and engage with the Instagram community directly from their interface. - Full Account Control: Edit profile, manage privacy, and track activity. - Advanced Messaging: Re

MCP Server for Japanese corporate data — search companies, financials, patents, subsidies, and government statistics via official government APIs. 日本企業データMCPサーバー — gBizINFO・EDINET・e-Statの政府APIから企業情報をAIが直接取得できます。 You need API keys from the following government services: Add to your claudedesktopconfig.json: Add to .cursor/mcp.json: Once configured, you can ask your AI assistant: - "ソニーグループの企業情報を教えて

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol. Try it by asking Claude, "Summarize the YouTube video >". Requires yt-dlp to be installed locally e.g. via Homebrew. 1. Install yt-dlp (Homebrew and WinGet both work great here) 1. Now, install this via mcp-installer, use the name @anaisbetts/mcp-youtube

English Version 基于 Google 的 Imagen 3.0 的图像生成工具，通过 MCP（Model Control Protocol）提供服务。 画一只奔跑的杰克罗素犬，长焦镜头，阳光透过狗狗的毛发，照片级画质 画一个科技感十足的苹果 - 有效的 Google Gemini API 密钥 1. 从 GitHub Releases 下载最新版本的可执行文件 2. 将下载的可执行文件放置在系统中的任意位置，例如 C:\bin\imagen3-mcp.exe 3. 在 Cherry Studio 中配置： - Command 字段填写可执行文件路径，例如 C:\bin\imagen3-mcp.exe - 环境变量 GEMINIAPIKEY 中填写你的 Gemini API 密钥 - [可选] 环境变量 BASEURL 中填写代理地址，例如 https://lingxi-pro

通过 uvx 安装并运行： 安装完成后，直接运行： 运行后你可以直接使用工具，例如： 或（如果是 uvx 安装）： 好的，这是转换后的 Markdown 版本： 好的，这是转换后的 Markdown 版本： 1. 配置环境变量（可选） 你可以通过 .env 文件或系统环境变量配置 DolphinDB 的连接信息： 也可以不设置，系统将使用默认值。 该命令会启动 MCP 插件服务，供外部调用。 3. FastMCP Agent 使用示例 启动后，你的工具将通过 FastMCP 对外暴露以下函数接口： listtbs(dbName: str) querytablediskusage(database: str, tableName: str) querydolphindb(script: str) 可通过 MCP 前端界面或对接 LLM 工具链来进行访问。

MCPServers.org | ModelScope | （更多MCP平台陆续上架中……） CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理，于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设，结合多模态大模型 + RAG 技术，集成五大核心能力模块：行业研究、法律法规、社区治理、项目经营、文案写作，并在行业垂类知识基础上，拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势： - 数据资产转化能力： 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集，并构建了一套行业数据质量评估体系，保障准确率和可信度； - 场景穿透能力： 聚焦20+物业行业垂直业务场景，定向选用对应领域知识库，精准匹配； - 生态进化能力： 通过每日实时监测超过500+可信资讯和数据来源，处理10万+实时数据的自更新系

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities. 1. Visit nanana.app and sign in 2. Go to your account dashboard 3. Generate an API token in the "API Access" section 4. Copy and s

Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API. It has one tool, chat which relays a question to a config

A production-grade YouTube Data MCP server engineered specifically for AI agents. Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows. Most MCP servers are weekend pr

Manage MCP servers across 13 AI clients from one CLI. Define a server once. Enable it where you want. Keep unmanaged client entries intact. MCP servers are useful, but managing them across multiple AI clients is repetitive and error-prone: - different config locations - different formats (JSON, JSONC, TOML) - repeated env/header setup - easy to overwrite manual client entries - hard to roll back a

- About the pgEdge Postgres MCP Server - pgEdge Postgres MCP Server - Choosing the Right Solution - Best Practices - Querying the Server - Installing the MCP Server - Quick Start - Quickstart Demo with Northwind - Deploying on Docker - Deploying from Source - Testing the MCP Server Deployment - Configuring the MCP Server - Specifying Configuration Preferences - Using Environment Variables to Speci