Discover our curated collection of MCP servers for productivity & workflow. Browse 5455servers and find the perfect MCPs for your needs.
Expose ready-to-use Dataverse tools for administration, data operations, metadata exploration, and troubleshooting within MCP-enabled clients.
Extends Claude's capabilities by integrating with MacOS Shortcuts to automate tasks.
Empowers AI agents and IDE assistants with a comprehensive set of 124 specialized tools for advanced code analysis, development, and project management.
Integrates Planka Kanban boards with MCP applications, enabling comprehensive management of projects, boards, cards, tasks, and collaboration.
Retrieves and analyzes Google Analytics 4 data, providing business intelligence feedback via a Model Context Protocol server.
Enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.
Empowers large language model agents to integrate with Gemini CLI for its expansive context windows and programmatically perform various development tasks.
Converts HTML webpages into clean, size-reduced Markdown, optimized for AI context and supporting complex, authenticated sites with browser automation.
Integrates intelligent bus route planning for Odisha's capital region with any AI assistant via the Model Context Protocol.
Enables Claude Desktop to analyze PDF files using Google's Gemini AI models via API.
Extends AI development tools with advanced task/project management and persistent context capabilities for complex projects.
Enables sending messages to WeCom (WeChat Work) via webhook using the FastMCP framework.
Manages work-in-progress to prevent conflicts when multiple Claude Code sessions concurrently modify the same codebase.
Provides an intelligent development assistant as an MCP server, offering comprehensive code analysis, generation, and refactoring capabilities.
Empower Large Language Models to execute and query VSCode commands directly.
Enables Claude AI to manage Dida365/TickTick tasks using natural language commands.
Analyzes local Python repositories to generate and maintain practical `ONBOARDING.md` documentation for environment setup, dependencies, testing, and application execution.
Empowers AI agents to interact seamlessly with Google Drive, Sheets, and Docs, enabling advanced automation and data management within Google Workspace.
Provides a Model Context Protocol (MCP) server that exposes advanced LinkedIn data collection and analysis tools.
Integrates Google's Gemini AI models with MCP-compatible clients like Claude Desktop, enabling access to advanced AI capabilities.
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