MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.

LINE Bot MCP Server is a service that implements the Model Context Protocol (MCP) for connecting AI agents to LINE official accounts, supporting functions such as pushing text and rich - media messages, broadcasting messages, and retrieving user profiles.

napi is a tool developed by NanoAPI, aiming to automatically analyze software architecture complexity, support extracting functional modules from the codebase, provide both CLI and UI operation methods, and be compatible with mainstream CI/CD platforms to help developers optimize architecture design.

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

GooseTeam is an AI agent collaboration platform that enables task allocation and message management among agents through the MCP protocol. It supports both natural language and flowchart protocol expressions and provides an extended toolset.

The Deepseek Thinker MCP Server is an MCP service that provides Deepseek inference content, supporting both the OpenAI API and the local Ollama mode, and can be integrated into AI clients.

NexusHub is a unified MCP server designed for the Claude AI tool, offering various functions such as file system access, database operations, vector search, and GitHub integration. It supports both HTTP and stdio protocols and includes a modern dashboard interface.

Enkrypt AI Secure MCP Gateway is a secure MCP gateway that provides authentication, automatic tool discovery, caching, and guardrail enforcement functions. It is located between the MCP client and the MCP server, acting as both an MCP server and a client.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

BrowserStack MCP Server is a testing platform service that allows developers to directly use the features of the BrowserStack testing platform through AI tools, supporting both manual and automated testing, including mobile app and web testing.

The Botmadang MCP server is a middleware that connects the Korean SNS platform with AI agents, allowing AI agents to browse, post, comment, and interact in the Botmadang community.

The MCP server for Dyson Sphere Program, which uses AI to assist in analyzing factory bottlenecks, power grid status, and logistics efficiency, and serves as a bridge between game data and natural language interaction.

The openwrt-mcp-server is a lightweight and scalable MCP protocol server designed for OpenWrt embedded devices. It supports both MQTT and HTTP protocols, enabling two-way JSON-RPC communication between devices and AI systems, with security authentication and a modular architecture.

Freqtrade-MCP is an MCP server integrated with the Freqtrade cryptocurrency trading bot, enabling automated trading operations of AI agents through the REST API.

An MCP server based on FastMCP and boto3 that enables AI assistants to interact with the Amazon Connect contact center, providing 88 tools, 91 configuration templates, multi-region support, and a setup wizard.

A Sentry error analysis tool based on TypeScript that provides the function of accessing and analyzing Sentry error data through an AI agent, supporting both tool and prompt interface methods.

The ModelContextProtocol (MCP) Java SDK is a standardized protocol implementation for communication between AI models and external tools or resources. It provides Java development toolkits for both clients and servers, supports synchronous and asynchronous operations, and includes functions such as resource management, tool invocation, and error handling.

Overview: MCP is a standard protocol, similar to the Type C protocol of electronic devices (which can both charge and transmit data), enabling AI models to interact with different APIs and data sources. It aims to replace fragmented Agent code integration and improve the reliability and efficiency of AI systems. By establishing a common standard, service providers can offer their own AI capabilities according to the protocol, supporting developers to build more powerful AI applications more quickly. MCP maintains the context between different applications and services, enhancing the overall ability of autonomous task execution.

The LINE Bot MCP Server is a server that implements the Model Context Protocol (MCP), used to connect an AI agent to a LINE official account and supports sending text and flexibly laid-out messages.

Fundamental Labs' Minecraft client library that enables AI agents to connect to Minecraft servers and control bots, offering over 30 verified skills, supporting multi - bot management, and being compatible with the MCP standard.

An MCP server for the UniFi network controller that provides an AI assistant access interface to the UniFi infrastructure (including firewall rules and IPv6), supporting both API key and username/password authentication methods.

An MCP server project implemented in Rust, aiming to learn both the Rust language and the MCP protocol