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Provides an unofficial local server to access documentation from Dash docsets for AI assistants.
Retrieves YouTube video transcripts for integration with AI assistants and other applications.
Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.
Deploys a Model Context Protocol (MCP) server on Dedalus for enhanced application integration.
Automates product improvement by analyzing daily reports, identifying top priorities, and implementing fixes autonomously.
Integrates AI assistants like Claude with the TrackingTime API to manage projects, tasks, time tracking, staff, and customer data through natural language commands.
Integrates Apple Reminders with the remindctl CLI for programmatic task management.
Streamline the management and operation of AnythingLLM workspaces, chats, documents, and vectors through a rapid, Python-based server.
Empowers AI assistants to interact with LeadDelta for managing LinkedIn connections and CRM data.
Automates task management and project control within Yandex Tracker through a robust server integration.
Extends Kintone's official MCP server with advanced automation capabilities for comprehensive record management, approval workflows, app administration, and natural language interactions.
Integrates WhatsApp communication with large language models, enabling AI-powered messaging, content retrieval, and remote PC control.
Enable AI assistants to interact with and manage Google Workspace services, including Sheets, Slides, and Drive.
Enables AI agents to programmatically interact with Google NotebookLM through browser automation.
Empower AI agents with full debugger control over JetBrains IDE sessions via the MCP protocol.
Provides AI-powered inline code completions for VS Code via a Model Context Protocol server.
Exposes Operaton's Business Process Management (BPM) REST API operations as AI agent tools for comprehensive process management.
Accesses and aggregates live train times, departures, arrivals, and journey planning across major European railway networks.
Integrates Agentation's UI feedback with OpenCode's AI agents to automate code fixes via the Model Context Protocol.
Orchestrates multi-agent research missions by exposing Maestro's advanced AI framework through the Model Context Protocol.
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