productivity & workflow를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9684개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables interaction with DingTalk through sending messages, retrieving conversation and user information, and managing calendar events.
Facilitates code review by fetching and applying custom coding guidelines, validation rules, and security standards.
Integrates the Gemini command-line interface with Model Context Protocol servers.
Enables AI assistants to manage todo lists stored in a simple Markdown file.
Provides a suite of professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning via a Model Context Protocol server.
Connects large language models (LLMs) to the Unity Editor, enabling AI-driven control and automation.
Integrates GitHub project calendars with AI assistants for team management, workload analysis, and intelligent task assignment.
Manages RSS feeds with advanced search, AI-powered semantic search, and a comprehensive reading workflow.
Integrates BugHerd bug tracking and feedback management with AI assistants like Claude, enabling conversational interaction with project tasks.
Transforms Claude into an intelligent system administrator for Msty Studio Desktop, enabling natural language management of AI models and configurations.
Empowers AI agents to retrieve schema context, validate intent, and fetch live business data directly from Oracle Fusion Cloud with real-time SQL execution.
Empower local LLMs like Qwen3 with comprehensive coding agent capabilities through an MCP server.
Provides read-only access to Zulip conversations, functioning as a CLI tool, an MCP server, or an ACP proxy.
Provides an advanced Model Context Protocol server for markdown collections, offering full-text, semantic, and hybrid search, along with comprehensive indexing and management.
Enables AI agents to conduct real user interviews via voice calls and generate structured insights like themes and verbatim quotes.
Facilitates the integration of AI tooling with development environments for enhanced productivity.
Empowers AI coding agents with a self-correction engine to learn from failures and prevent recurring mistakes across sessions.
Empower AI agents to generate and interact with visual diagrams, flowcharts, and sketches on a real-time canvas.
Empowers AI agents to semantically navigate C# codebases using symbol, call graph, and architectural facts, dramatically reducing token usage.
Discovers and routes AI agents to free and low-cost LLM inference endpoints in real time, filtering by compatibility, budget, and quota.
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