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Manages todo items within Large Language Models through a comprehensive API.
Enables AI models to control hardware devices via serial communication using the MCP protocol.
Enables applications to provide context to large language models for Algorand blockchain interactions.
Enables Claude to execute shell commands securely through the Model Context Protocol.
Enables AI assistants to manage and operate GitHub Actions workflows.
Provides a minimal Rails API template for building Model Context Protocol (MCP) servers with tool execution capabilities.
Automates GUI testing and control using PyAutoGUI through a Model Context Protocol (MCP) server.
Enables semantic search capabilities for PDF documents through a web interface or via the Model Context Protocol (MCP) for AI tool integration.
Provides a generic, modular server framework for implementing and interacting with models through the Model Control Protocol (MCP).
Integrate Java applications with txtai, an AI framework for tasks like semantic search and language model workflows.
Enables interactive security operations and detection tuning within the Panther security platform.
Access and retrieve Solodit vulnerability reports via a Model Context Protocol (MCP) server.
Empowers Large Language Models with real-time access to scientific papers from arXiv and OpenAlex.
Enables AI assistants to manage Gitea and Forgejo repositories, streamlining development workflows.
Provides fast, scriptable access to Windows `.evtx` logs through a Model Context Protocol server.
Generates static sites for comprehensive documentation, leveraging Markdown and simple Wiki-link notation for a streamlined developer experience.
Collects public data from popular self-media platforms like Xiaohongshu, Bilibili, Douyin, Kuaishou, Weibo, Tieba, and Zhihu, integrating with AI assistants.
Automates and manages Apple Notes content through a local Model Context Protocol server, integrating seamlessly with various MCP-compatible clients.
Enables Claude Code to handle massive contexts (10M+ tokens) by treating them as external variables, leveraging recursive language model patterns.
Provides a dynamic server for AI agents to perform runtime analysis and advanced process manipulation.
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