MCP

A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface. To install MySQL Server for Claude Desktop automatically via Smithery: The server requires the following environment variables to be set in your MCP settings configuration file: 在 ~/.codex/config.toml 在 %USERPROFILE%\.codex\config

🇰🇷 한국어 | 🇺🇸 English 한국 주식 분석을 위한 MCP 서버입니다. DART(전자공시시스템)와 KRX(한국거래소) 공식 API를 통해 주가 정보와 공시 자료 기반의 AI분석이 가능합니다. - 🔍 공시검색 - 회사별, 기간별 공시 검색 - 📊 공시 데이터 - 공시보고서 원본파일 파싱한 데이터 제공 - 💼 재무제표 분석 - XBRL 기반 상세 재무 데이터 - 📈 주식 데이터 - KRX(코스피/코스닥) 일별 주가정보, 종목 기본정보 먼저 DART와 KRX의 API KEY를 발급받아야 합니다. 1. 회원가입: OPEN DART 회원가입 2. 키 신청: 인증키 신청 페이지에서 API KEY 신청 3. 키 확인: 오픈API 이용현황에서 발급된 API KEY 확인 1. 회원가입: KRX OPEN

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

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

Model Context Protocol (MCP) compliant memory & knowledge graph server implemented in .NET 10 (Azure Functions isolated worker). Provides durable project memory (entities, relations, observations) for AI assistants with workspace isolation and simple HTTP tool endpoints. Current function set (alpha stage): - readgraph - returns all entities for a workspace (relations currently queried separately a

A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage. To use this editor with Claude.app, add the following configuration to your prompt: MCP Text Editor Server is designed to facilitate safe and efficient line-based text file operations in a cl

An MCP server that provides full text search for code declarations. Uses SQLite with FTS5 and universal ctags to index and search functions, classes, structures, enums, and other code elements. Supports all languages that ctags supports including Python, C, Go, C++, JavaScript, Rust, Java, and many others. - Python 3.13 - Universal Ctags 6.2.0 - SQLite with FTS5 support (included in Python 3.13) J

If you use AI agents, such as [Claude Code], [Cursor], or [Windsurf], for code refactoring, you may enjoy using this [MCP] server. Your AI agent, when you ask it to "make code better," may wonder what exactly needs to be improved. Sadly, it may often overlook important problems. AI agents, by design, pay more attention to cosmetic issues, which are "low-hanging fruits" for them. This [MCP] server

A Model Context Protocol (MCP) server for integrating with the Tomba.io API. This server provides comprehensive email discovery, verification, and enrichment capabilities through a standardized MCP interface. - Domain Search: Find all email addresses associated with a domain - Email Finder: Generate likely email addresses from names and domains - Email Verifier: Verify email deliverability and che

Cal Server 是一个基于 FastMCP 框架构建的简单数学表达式计算服务，使用 Bun 运行时环境。它利用 expr-eval 库解析和计算用户输入的数学表达式，并通过标准输入输出（stdio）与外界交互。该项目旨在提供一个轻量、高效的计算工具，支持基本数学运算和内置常量。 - 表达式计算：支持用户输入数学表达式并返回计算结果。 - E：Bun 环境中的 Math.E。 - PI：Bun 环境中的 Math.PI。 - true：逻辑真值。 - false：逻辑假值。 - 工具名称：cal。 - 参数：接受一个字符串类型的数学表达式（exp）。 - fastmcp：用于构建 MCP 服务。 - expr-eval：用于解析和计算数学表达式。 - zod：用于参数验证。 - 确保已安装 Bun 运行时（推荐最新版本）。 To install cal-mcp for Claude D

mcp-image-compression is a high-performance image compression microservice based on MCP (Modal Context Protocol) architecture. This service focuses on providing fast and high-quality image compression capabilities to help developers optimize image resources for websites and applications, improving loading speed and user experience. - Multi-format support: Compress mainstream image formats includin

A PTY-based MCP server with strong Windows support, giving MCP-capable AI clients and their agents persistent, interactive shell access via pseudo-terminals (node-pty). Unlike simple exec-based approaches, this keeps PTY-backed shell sessions alive across steps, with bidirectional communication for interactive CLI tools, incremental reads, and session state that carries forward. See the Changelog

A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent

MCP Server for the Discogs API, enabling music catalog operations, search functionality, and more. If you just want to get started immediately using this MCP Server with the Claude desktop app and don't care about development or running the server yourself, then make sure you have Node.js installed and your Discogs personal access token ready and skip straight to the Claude configuration section.

Analyze & generate docs for React code using the Model Context Protocol. Based on react-analyzer library. This tool analyzes React component files (JSX/TSX) and extracts information about components and their props. - analyze-react: Analyzes a single React component from source code - analyze-project: Generates documentation for all React components in a project folder - list-projects: Lists all p

- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec

MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude Claude for Desktop is currently available on macOS and Windows. Install Claude for Desktop here Follow the general instructions here to configure the Claude desktop client. You can find your Claude config at one of the following locations: - macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json

Model Context Protocol (MCP) server integrating with the Miro platform. It enables AI assistants (like Claude) to access Miro boards and manage their content through a standardized interface. - Node.js v16 or newer installed - Miro account with API token 1. Go to the Miro Developer Portal 2. Create a new app or use an existing one 3. Make sure to create token with permission selected below 4. Gene

arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client. Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 T

Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.

Chroma - the open-source embedding database . The fastest way to build Python or JavaScript LLM apps with memory! The Model Context Protocol (MCP) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require. This server provides data retrieval capabili

Other tools read your files. MCP AI Server understands your code. The first and only Visual Studio extension that gives AI assistants access to the C compiler (Roslyn) through the Model Context Protocol. 20 tools. 12 powered by Roslyn. Semantic understanding, not text matching. Install from Visual Studio Marketplace Or search for "MCP AI Server" in Visual Studio Extensions Manager. Click to watch

Spring Boot starter that automatically exposes SpringDoc OpenAPI operations as MCP tools. - Auto-discovery of OpenAPI operations from your running Spring app - Auto-registration of MCP tools for discovered API operations - Smart-context tools: metadiscoverapitools, metainvokeapibyintent - Response optimization with projection/summarization controls - Risk controls for dangerous operations (confirm

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client. Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Wind