productivity & workflow를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 4358개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables interaction with Jira through a TypeScript-based server, facilitating JQL queries and ticket management.
Enables AI assistants to interact with Meshtastic mesh networks for off-grid communication.
Serves and plays media files from a designated directory, supporting various transport protocols and client interactions.
Integrates TMetric time tracking functionality into the Model Context Protocol for AI-driven automation.
Categorizes software tools into various areas like browser automation, design, and development.
Connects large language models to OneNote data for natural language querying via a Model Context Protocol (MCP) interface.
Integrates real-time Malaysian weather forecasts with AI assistants through a local MCP server.
Delivers a self-evolving AI intelligent service hub specifically designed for university campuses, integrating RAGFlow, LLM, and MCP tool calling.
Facilitates real-time team communication and notification sharing across various AI assistants.
Analyzes .NET and Java projects for stateful code patterns, integrating with Amazon Q Developer.
Empowers AI models to interact with and manage files within Google Drive through natural language commands.
Enables interaction with Gmail, allowing users to send, delete, read, draft, and respond to emails through the Model Context Protocol.
Enhances AI assistant responses by intercepting user queries, analyzing intent, and providing relevant context from various productivity systems.
Provides a minimal Model Context Protocol server and CLI for inspecting source trees and managing workspaces using ripgrep and Git.
Empowers revenue teams with real-time ML insights for lead prioritization, churn prevention, and conversion maximization.
Facilitates programmatic interaction with a local Anki desktop application for efficient flashcard review and creation.
Provides a crash-safe, persistent memory for developer sessions, tracking progress, managing tasks, and maintaining context across AI development workflows.
Manages local software projects, tracks changes, and synchronizes with GitHub repositories.
Provides a foundational boilerplate for building new MCP servers.
Integrates Super Productivity with AI assistants via an MCP server.
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