The mcp-nodejs-server serves as an integration layer between MCP Clients and the Gentoro MCP Server, enabling seamless communication and interaction with Gentoro bridges and their capabilities. It is ideal for developers and organizations using Gentoro services, especially those familiar with Node.js. This server facilitates secure and authenticated interactions through API keys, providing a centralized way to manage functionalities. The source code is available on GitHub in the gentoro-GT/mcp-nodejs-server repository. To implement it, ensure you have a Gentoro account, an API key, a defined bridge in Gentoro Studio, and the necessary configurations in the `claude_desktop_config.json` file. Customization of tools can be managed through Gentoro Studio, with the mcp-nodejs-server dynamically executing these settings.
The AI Development Assistant MCP Server is an AI-powered development toolkit designed as a Model Context Protocol (MCP) server for Cursor. It offers intelligent coding assistance through features like code architect, screenshot analysis, and code review. This tool is ideal for developers looking to enhance their coding workflow with AI-driven functionalities, making it perfect for learning and experimentation in a local environment. It integrates into Cursor via the MCP interface and is best used for tasks such as code reviews, feature design, and UI analysis. While it is not production-ready, it is open-source and welcomes contributions. Key features include Code Architect, Screenshot Buddy, and Code Review.
MCP Server is a server instance or system designed for hosting, cloud services, or managing computational tasks. Its specific purpose and functionality are not fully defined in the provided information. MCP Server is typically used for hosting applications, managing network resources, or facilitating cloud-based solutions, though the exact use case can vary. It can be deployed on-premises, in a data center, or on cloud infrastructure. The users of MCP Server may include IT professionals, developers, and organizations seeking scalable server solutions. The relevance of MCP Server depends on the specific needs of an organization or individual. Further details about its features, deployment, and unique selling points would provide a clearer understanding of its capabilities.
MCPMC (Minecraft MCP) is a Model Context Protocol (MCP) server that interacts with Minecraft through Mineflayer, enabling AI agents to control Minecraft bots via a standardized JSON-RPC interface. It supports navigation, block manipulation, inventory management, and real-time game state monitoring. MCPMC ensures full MCP compatibility and offers a type-safe API with TypeScript support, making it ideal for developers and AI researchers. Minecraft enthusiasts interested in bot automation and advanced gameplay mechanics can also benefit. MCPMC can be installed via npm, yarn, or bun and runs locally, communicating via stdin/stdout. The latest updates were made on December 23, 2024. Contributions are welcome, and the project is licensed under the MIT License.
Crawl4AI MCP Server is an intelligent information retrieval server based on the Model Context Protocol (MCP). It enhances AI systems by efficiently gathering and understanding web content, making it ideal for large language models (LLMs). The server offers multi-engine search capabilities, including DuckDuckGo and Google, and optimizes content by filtering out noise and preserving key information. Designed for developers and organizations working with LLMs, it is open-source and can be installed locally on Linux, Mac, or Windows, or integrated into Claude desktop clients via Smithery CLI. Recent updates include support for additional search engines and structural optimizations. Contributions to the project are welcome, and it supports both API-based and API-free search configurations.
mcp-tool-builder is an MCP server designed to dynamically create new tools through natural language descriptions, primarily for use with clients like Claude Desktop. It saves these tools as Python scriptlets and stores their definitions in JSON format. This tool empowers users to generate custom tools without extensive coding knowledge, enhancing productivity and allowing rapid development. It is ideal for developers or advanced users working with Large Language Models (LLMs) within the MCP ecosystem. mcp-tool-builder can be installed locally on a Windows machine by cloning the repository from GitHub (hanweg/mcp-tool-builder). While it is still a work in progress, it is perfect for creating custom tools quickly using natural language commands, though it is recommended for experimental purposes at this stage. Contributions to its development are welcome via the GitHub repository.
ClickUp MCP Server is a Model Context Protocol (MCP) server designed for seamless integration with ClickUp workspaces. It allows AI assistants to manage tasks, teams, lists, and boards, enhancing project management workflows. Key features include secure OAuth2 authentication, token encryption, and rate limiting to ensure data security. Ideal for developers and organizations using ClickUp and AI-driven automation, the server can be set up in any environment, running locally on port 3000 by default. Configuration and setup are straightforward, requiring environment variables and basic installation steps. The server was initially committed on February 7, 2025, and is licensed under the MIT License.
Claude Chunks is an intelligent document chunking MCP server designed to optimize large documents for Claude's context windows. It breaks down extensive texts into meaningful, context-aware sections, ensuring connections and formatting are preserved. This tool is ideal for researchers, writers, and data analysts who need to process and summarize lengthy documents efficiently. By installing Claude Chunks locally via its GitHub repository and integrating it with Claude Desktop, users can enhance their document analysis and summarization capabilities. The project is open-source under the MIT License and welcomes contributions.
MySQL MCP Server is an MCP server implementation designed to integrate with MySQL databases, providing secure and efficient database access for LLMs (Large Language Models). It supports both read and write operations, ensuring security through features like transaction handling, query limits, and performance monitoring. Developed by Dewei Yen and available under the MIT license, it can be installed globally via npm. MySQL MCP Server is ideal for developers who need controlled and secure database interactions in AI-driven environments, offering tools such as `mysql_query` and `mysql_execute` for executing queries and managing data. Key security features include read-only transaction mode, query length and result size limits, and automatic transaction handling.
Cooper-hewitt-mcp is a Model Context Protocol (MCP) server designed to interact with the Cooper Hewitt Museum's collection API. It enables users to programmatically search and retrieve detailed information about museum objects. Developed by Frank Fiegel (behole) as part of the 'punkpeye' project, it was initially released on January 17, 2025. The repository is hosted on GitHub at https://github.com/behole/cooper-hewitt-mcp. To use cooper-hewitt-mcp, you need Node.js (version 16+ recommended) and npm. Key tools include 'search-objects' for searching and 'get-object' for detailed object information. Contributions are welcome via Pull Requests.
Mistral Codestral MCP Server is an advanced implementation of an MCP server designed for the Mistral Codestral API. It offers AI-powered code completion, bug detection and fixing, and automated test generation, supporting multiple programming languages. The server includes features such as rate limiting, error handling, and comprehensive input validation using Zod schemas. It can be seamlessly integrated into development environments, providing access to code files via the `file://code` resource URI. Ideal for developers, software engineers, and development teams, it enhances productivity and code quality. To get started, simply clone the repository, install dependencies, configure the environment, and start the server. Mistral Codestral MCP Server is open-source and released under the MIT license.
Jupyter MCP Server is a Model Context Protocol (MCP) server implementation that facilitates real-time interaction with Jupyter notebooks in a local JupyterLab environment. It supports seamless integration with external applications like Claude Desktop, enabling features such as Jupyter Real Time Collaboration (RTC). This server is ideal for developers, data scientists, and researchers who need to automate notebook interactions or integrate Jupyter with other platforms. It can be used locally, in Docker containers, or in cloud-based environments on MacOS, Windows, and Linux. Jupyter MCP Server offers tools for adding and executing code and markdown cells, making it a versatile solution for collaborative and automated workflows.