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Exposes Obsidian vaults to AI assistants through a local REST API using the Model Context Protocol.
Enables AI models to seamlessly search, list, and read files from Google Drive.
Enables creation and management of tasks and projects within the Things3 macOS application using the Model Context Protocol (MCP).
Integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations within Claude Desktop.
Provides ripgrep search capabilities to Model Context Protocol (MCP) clients.
Provides optimized file system operations with smart context management and token-efficient partial reading/editing.
Connect AI assistants like Claude to Atlassian Jira for accessing and managing projects and issues.
Enables interaction with a Nocodb database using the Model Context Protocol (MCP) to facilitate CRUD operations on Nocodb tables.
Enhances TickTick workflows by providing an MCP server with improved filtering capabilities for AI assistants and other MCP-compatible applications.
Enables MCP clients to interact with documents, folders, and other SharePoint resources.
Integrates Attio CRM data with AI assistants for seamless interaction.
Enables AI assistants to perform advanced PDF processing operations by integrating with the Nutrient Document Web Service (DWS) Processor API.
Orchestrates autonomous AI agents using Claude's native tools for advanced task decomposition, delegation, and meta-prompting in a Software 3.0 context.
Integrates FreeCAD with AI assistants via the Model Context Protocol for AI-assisted 3D model, macro, and workbench development and debugging.
Integrates various AI model providers into a unified terminal agent for developers.
Connects AI chat platforms like Cursor to Figma, facilitating chat-driven design creation and editing directly on the canvas.
Indexes and surfaces Claude Code conversation history, extracting knowledge for search and proactive context injection.
Perform local code searches combining advanced retrieval techniques, parsing over 60 languages with tree-sitter, and providing structured, offline results.
Unify organizational documents and answer natural language queries with AI.
Exposes the complete Zabbix API as MCP tools, enabling AI assistants to manage and query Zabbix instances.
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