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10 tool MCP server for RomM. Adds searching, metadata, tracking, saves and management via MCP.

Enables complete natural language control of Godot Engine 4.5+ with 76 tools for managing scripts, scenes, nodes, animations, physics, tilemaps, audio, shaders, navigation, particles, UI, lighting, assets, and exports. Integrates with Claude Desktop, VS Code, and Ollama for AI-assisted game development.

Mem·Sum is a shared memory workspace for small groups accessible via AI assistants, enabling agents to read, draft, and publish atomic updates to a shared workspace with version control and security.

An MCP server that exposes your Zotero library to AI assistants such as Claude.

Multi-agent orchestration for complex TypeScript/Next.js/Convex projects.

MCP server for the Zabbix API that provides a daily_brief summary of active problems and category-specific metrics, along with tools to query problems, hosts, and item values.

Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.

MCP server to access the Zabbix API, providing tools to list hosts, problems, triggers, items, history, and events.

Enables AI assistants to interact with SalesDrive CRM, allowing order management, product queries, and more through natural language.

A Python-based server that provides tools for querying domain WHOIS information through the Chinaz API. It enables Claude and other MCP clients to retrieve domain registration details using standardized tools.

This Python-based REPL server for Claude provides a robust interface for executing Python code and shell commands within the Model Context Protocol framework. Developed to enhance Claude's capabilities, it offers both isolated and session-based Python environments, along with smart async handling for long-running shell operations. The server's key features include persistent Python sessions, automatic timeout management, and comprehensive error handling. By integrating seamlessly with Claude Desktop, it enables a wide range of use cases from quick calculations to complex data analysis and system administration tasks. The implementation stands out for its focus on performance, security, and ease of use, making it an ideal tool for developers and data scientists working with AI assistants.

An encrypted and secure random number generation server that complies with the MCP protocol, suitable for AI applications, LLMS, and other systems that require high-quality random numbers.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Tiny TODO MCP is a specialized server that enables AI assistants to maintain persistent task management capabilities beyond their usual context limitations. Built with SQLite for data storage, it provides a clean layered architecture that allows AI models to create, update, delete, and search TODOs with features like completion status tracking and due date management. The implementation follows a structured approach with database, repository, and service layers, making it particularly valuable for scenarios requiring AI assistants to track tasks over time with persistent storage.

Provides AI assistants with the ability to search for video content across Chinese streaming platforms including LunaTV and MoonTV. Supports retrieving playback URLs for TV series and anime, with direct playback control for Xiaomi TV devices, projectors, and set-top boxes. Built with Python using the FastMCP framework, it can be deployed via uvx, Docker, or as a Home Assistant OS add-on.

Config-driven MCP server that gives AI scoped, auditable database access without exposing the entire database.

Accept payments on any website using moneydevkit.

MCP Server Safe Content Check provides content moderation capabilities by integrating with Baidu Cloud's content safety APIs. The server allows AI assistants to screen text and other content for potentially harmful, inappropriate, or illegal material before processing or displaying it. Built with Python using the MCP framework, it requires Baidu Cloud credentials configured through environment variables. This implementation is particularly valuable for applications that need to ensure user-generated content meets safety and compliance standards before further processing.

Enables AI agents to discover, pay for, and retrieve receipts for external APIs via USDC micropayments through the SynapseNetwork Gateway, supporting stdio and Remote MCP.

MCP tool that splits a file into multiple parts at specified line numbers