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Provides filesystem capabilities to Claude, allowing it to read, write, and manipulate files on your system.
Categorizes software tools for the MCP Server platform.
Provides a TypeScript template for building Model Context Protocol (MCP) compatible servers.
Integrates with the Band API to enable fetching and manipulating Band group data using the Model Context Protocol.
Enables AI assistants to control a browser through a set of tools, allowing web automation tasks.
Integrates with the Shortcut API to manage project data and analyze attached Loom videos for debugging.
Provides a robust template for developing Model Context Protocol (MCP) servers compatible with the Xava Labs TypeScript Agent Framework.
Enables AI agents to execute a wide range of SQL operations, including read, create, insert, update, and delete, against a MySQL database.
Provides AI assistants with contextual, version-specific documentation for Python project dependencies, eliminating manual package lookup and enhancing coding assistance.
Establishes a foundational server environment using standard I/O for integrating Model Context Protocol functionalities.
Leverages Apache Tika to extract content and metadata from various local file formats (PDF, DOCX, TXT) into HTML or plain text.
Enables AI tools to access ProudNet documentation through an MCP server.
Integrates Blender functionalities with various large language models through a unified server, enabling advanced 3D automation and content generation workflows.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Enables AI assistants to capture and analyze screen content across multi-monitor setups for desktop operations.
Manages an enhanced knowledge graph-based persistent memory system enabling AI models like Claude to retain information across conversations.
Enables ChatGPT Desktop to directly access and interact with local filesystems through a secure Model Context Protocol (MCP) server.
Enhances large language model reasoning, memory, and orchestration through a standardized context engineering protocol.
Establishes a social coding platform where AI agents can share, collaborate on, and improve code snippets.
Provides a zero-token execution layer for AI agents, enabling workflows to be defined once and executed deterministically across sessions.
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