Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1085 servers
Your AI Assistant in Memory Forensics Volatility MCP seamlessly integrates Volatility 3's powerful memory analysis with FastAPI and the Model Context Protocol (MCP). Experience memory forensics without barriers as plugins like pslist and netscan become accessible through clean REST APIs, connecting memory artifacts directly to AI assistants and web applications Volatility 3 Integration: Leverages
Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.
A comprehensive set of PDF manipulation tools built with the Model Context Protocol (MCP) framework. - Display: Render PDF pages as images - Merge: Combine multiple pages into a single long page - Metadata: Extract document metadata - Text: Extract text blocks and detailed text information - Snippets: Create freeform or full-width snippets from PDF pages - Fuse: Combine pages from multiple documen
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
Enabling web apps to provide JavaScript-based tools that can be accessed by AI agents and assistive technologies to create collaborative, human-in-the-loop workflows. > First published August 13, 2025 > > Brandon Walderman <brwalder@microsoft.com> > Leo Lee <leo.lee@microsoft.com> > Andrew Nolan <annolan@microsoft.com> > David Bokan <bokan@google.com> > Khushal Sagar <kh
An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts
⚡ Fully automated MCP server built on top of apktool to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly. Image generated using AI tools. apktool-mcp-server is a MCP server for the Apk Tool that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. Think: "Dec
An MCP (Model Context Protocol) server for IPLocate.io - providing comprehensive IP address intelligence including geolocation, network information, privacy detection, and abuse contacts. This MCP server provides tools to look up detailed information about IP addresses: - Geolocation: Country, city, coordinates, timezone, postal code and more - Network Information: ASN name, number, type, network
A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList. - Search for anime, manga, characters, staff, and studios - Get detailed information about specific anime, manga, characters, and staff members - Access user profiles and lists - Support for advanced filtering optio
AI-powered debugging and inspection for Kubernetes clusters using Inspektor Gadget. - AI-powered interface for Kubernetes troubleshooting and monitoring - One-click Inspektor Gadget deployment and removal - Intelligent output summarization and analysis - Automatic gadget discovery from Artifact Hub 1. Ensure you have Docker and a valid kubeconfig file 2. Configure the MCP server in VS Code (see IN
Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register). It provides a simple interface to: - 📊 View sales and revenue - 🧾 Create and record receipts - 🛒 Manage products and stock - 🧠 Generate automated reports through conversational requests Connect you
A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c
MCP Server - Bridge to local Ollama LLM server. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to local Ollama LLM - Support for all Ollama models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - PyPI:
This document covers the set up and use of a generic ODBC server for the Model Context Protocol (MCP), referred to as an mcp-odbc server. It has been developed to provide Large Language Models with transparent access to ODBC-accessible data sources via a Data Source Name configured for a specific ODBC Connector (also called an ODBC Driver). This MCP Server for ODBC is a small TypeScript layer buil
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members. - Start thread in channel with title and contents, mentioning users - Update existing threads with message replies, mentioning users - Read thread replies - List channel team members - Read channel messages - uv package
This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in Java (Quarkus). Use the MCP Inspector to test and debug your server: This starts a local web UI to connect to your MCP server via STDIO or SSE. Prerequisites: JDK 21+, Maven 1. Configure environment variables in your shell or IDE:
Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare's service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account. These MCP servers allow your MCP Client
An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti
ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions
Instead of manually writing a system prompt, this tool mines your actual conversation history — your word patterns, recurring topics, and habits of thought — and distils them into a ~3k character profile that meaningfully changes how an AI responds to you. The pipeline runs entirely locally. It never sends your conversation data anywhere. 1. Stream conversations-.json using ijson — never loads the
1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092
一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具 零配置将您的 REST API 转换为 AI 可调用的工具 🚀 快速开始 • 📖 使用指南 • 🛠️ 开发 Languages: English | 中文 MCP Swagger Server 是一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具。 - 🔄 零配置转换: 输入 OpenAPI 规范，立即获得 MCP 工具 - 🎯 渐进式命令行: 提供逐步引导的命令行界面，方便用户配置 - 🔌 多传输协议: 支持 SSE、Streamable 和 Stdio 传输 - 🔐 安全认证: 支持 Bearer Token 认证保护 API 访问 - Node.js ≥ 20.0.0 - pnpm
Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel
Transcribe MCP Automate your transcriptions with AI. Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds. - ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python p