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Converts various file formats to Markdown using the MarkItDown utility via the Model Context Protocol (MCP).
Enables AI models to seamlessly search, list, and read files from Google Drive.
Automates on-screen GUI operations by analyzing the screen with OmniParser.
Enables interaction with the Bear note-taking application via an MCP server.
Enables AI agents to manage multi-step tasks in a structured manner, including tracking progress and enabling user approval checkpoints.
Enables seamless AI-powered automation and multi-instance management for the Cursor editor by bridging it with Claude's desktop application and other Model Context Protocol (MCP) compatible AI services.
Enables AI assistants to interact with and extract information from a Logseq knowledge graph.
Connects Claude to ServiceNow instances, enabling data retrieval and action execution through the ServiceNow API.
Integrates Sketch designs with IDEs to enable AI-powered design-to-code workflows.
Enables MCP clients to interact with documents, folders, and other SharePoint resources.
Provides video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade media operations.
Enables Claude Code to consult powerful external AI models for deeper analysis on complex problems.
Offers VOICEVOX text-to-speech functionality through the Model Context Protocol.
Provides an MCP server to search and retrieve your Claude Code conversation history, enabling quick access to past solutions and insights.
Unifies Readwise Reader document management and highlights functionality with AI-powered text processing and context optimization for MCP-compatible AI tools.
Manages Linear issues, projects, and other entities via an optimized Model Context Protocol (MCP) server designed for language models.
Facilitates structured, iterative reasoning for complex problem-solving and analysis through an advanced Model Context Protocol server.
Empowers AI assistants with natural language capabilities to manage Apple Mail, enabling reading, composing, and organizing emails.
Enhance AI coding agents' efficiency by providing precise, local semantic search across large codebases, significantly reducing costs and latency.
Scores text based on rule-based patterns to identify formulaic AI writing and provide actionable advice.
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