Discover our curated collection of MCP servers for productivity & workflow. Browse 6298servers and find the perfect MCPs for your needs.
Converts PDF documents into Markdown format leveraging AI for intelligent content extraction.
Executes Databricks SQL queries and facilitates comparison of table data via a Model Context Protocol server.
Fetches upcoming events directly from Google Calendar using its API.
Transforms digital asset discovery for enterprise DAM systems by understanding natural language requests and delivering precise results.
Automates the debugging of Django and MySQL applications using an AI-powered, multi-agent pipeline.
Provides context-aware keyboard shortcuts for various operating systems, desktop environments, and applications through intelligent natural language queries.
Provides core mathematical operations like addition, subtraction, multiplication, division, power, and square root as remote tools for Model Context Protocol (MCP) clients.
Integrate the ConsignCloud API with AI assistants to streamline inventory, sales, and account management for consignment and retail businesses.
Provides driver-level keyboard and mouse input control for Windows applications via a standalone Model Context Protocol (MCP) server.
Automates the discovery and AI-powered summarization of arXiv research papers, integrating seamlessly with Claude Desktop.
Connect AI assistants to real-world tools by aggregating multiple service integrations into unified, manageable bundles accessible via a single endpoint.
Integrates Poly.Pizza 3D models directly into Unity projects via a Model Context Protocol (MCP) server.
Connects AI agents with Factorial, the HR Management System, to manage time-off operations through natural language.
Empower AI coding editors and agents with direct access and comprehensive understanding of the Meshes event routing platform.
Provides an AI-ready understanding of Obsidian vaults, including wikilinks, frontmatter, and backlink graphs, without needing Obsidian to run.
Empower local LLMs like Qwen3 with comprehensive coding agent capabilities through an MCP server.
Integrates AI assistants directly with IBM Maximo environments to facilitate AI-driven schema discovery, live data querying, and intelligent code generation for developers.
Facilitates funding of verified ecological regeneration by estimating AI compute usage and retiring ecocredits via Regen Network.
Orchestrates complex codebase refactoring using a model-agnostic, multi-agent AI system within a secure Git sandbox, transforming IDEs into autonomous coding assistants.
Synthesizes comprehensive engineering context from your team's existing tools like Jira, meeting transcripts, and documentation, specifically tailored for AI coding agents.
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