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Provides a server-side implementation for accessing The Movie DB API functionalities.
Empower AI agents with comprehensive codebase understanding, eliminating context loss and optimizing token usage for complex software development.
Enables parallel execution of multiple AI coding tasks using the Aider tool.
Automates intelligent documentation deployment for open-source projects through deep repository analysis and static site generator recommendations.
Manages time entries in Clockify using AI tools and natural language prompts.
Enables saving, searching, and formatting memories with semantic understanding directly from Cline and Claude Desktop using a Memory Box instance.
Exposes Taskfile tasks as standardized tools for AI assistants.
Enables Large Language Models to explore and interact with the Fediverse using standardized Model Context Protocol tools.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Integrates with the Up Banking API to enable AI models, such as Claude, to access and manage personal financial data.
Exposes Malaysian government datasets as Model Context Protocol (MCP) tools for AI agents and developer tools.
Enables viewing operational state and modifying configurations on Juniper devices running Junos.
Integrate macOS Contacts with AI assistants to search, view, and manage local contact data conversationally.
Connects AI assistants to VS Code, providing access to code context and filesystem operations.
Provides an Untappd Model Context Protocol server implementation using Azure Functions in F#.
Automates Microsoft Office 365 applications on macOS, enabling AI agents to create and manipulate documents.
Augments AI models with persistent context across work sessions using project management frameworks.
Analyzes and visualizes complex network relationships within Active Directory environments.
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
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