Discover our curated collection of MCP servers for productivity & workflow. Browse 6315servers and find the perfect MCPs for your needs.
Performs basic arithmetic operations, including addition, subtraction, multiplication, and division.
Guides users through creating Non-Disclosure Agreements (NDAs) using eSignatures.
Enables AI assistants to interact with Trello boards, lists, and cards through a Model Context Protocol (MCP) server.
Provides an AI-powered personal assistant system with task management and AI agent integration.
Enables Claude to interact with Microsoft 365 services through the Microsoft Graph API on Windows.
Enables Claude to interact with Notion workspaces via the Notion API.
Integrates Claude Desktop with Hacker News to enhance information flow and streamline interactions.
Provides a foundational template for building custom Model Context Protocol (MCP) servers to integrate with various AI assistants.
Provides weather data retrieval, LangChain Agent integration for natural language queries, and data visualization capabilities for current and historical weather trends.
Provides AI vision capabilities including screen capture, optical character recognition (OCR), and visual language model (VLM) scene understanding for automated systems.
Provides a lightweight system for managing sticky notes via Model Context Protocol (MCP) tools, resources, and prompts for AI clients.
Equips AI assistants and automation pipelines with structured tools to generate cybersecurity scenarios, simulate attacks, analyze networks, investigate incidents, perform forensics, and generate reports.
Empowers AI agents and LLMs to programmatically create, read, and manipulate document files such as PDFs, DOCX, and PPTX.
Connects Claude and other Model Context Protocol (MCP) clients to your Granola meeting notes, providing instant access and summaries.
Exposes Granola meeting intelligence as structured, queryable Model Context Protocol (MCP) resources for AI agents and automation pipelines.
Transforms codebases into searchable, structured context for AI agents, enabling efficient navigation and consumption by LLMs.
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