Productivity
Calendar, Email, Notes, and productivity apps
6,743 servers in this category
Excel Reader
MCP (Model Context Protocol) Server. Integrates with Excel files to extract and process data from sheets, enabling automated analysis and reporting tasks
Tiny TODO
MCP (Model Context Protocol) Server. Enables persistent task management with SQLite storage, allowing creation, updating, deletion, and searching of TODOs with completion tracking and due date features beyond context limitations.
KeywordsPeopleUse.com
This MCP server integrates with KeywordsPeopleUse.com to provide comprehensive keyword research capabilities, including People Also Ask questions, Google Autocomplete suggestions, and insights from Reddit and Quora.
Hangfire
MCP (Model Context Protocol) Server. Enables AI assistants to enqueue background jobs in Hangfire, a popular .NET job scheduling library, for executing server-side processing tasks without additional code.
LI.FI
A comprehensive DeFi MCP server that enables cross-chain token swaps, quotes, and transfers via the LI.FI API, including full wallet management and transaction execution capabilities.
Lightning Nostr
A Lightning Network MCP server that enables AI models to interact with the Bitcoin Lightning Network to pay invoices via LNbits.
Boost.space
A Model Context Protocol server that acts as a proxy for the Boost.space REST API, enabling integration with centralized data from over 2,000 sources. It allows MCP-compatible clients like Claude Desktop to interact with automated business data stored within the Boost.space platform.
Obsidian
A Ruby-based MCP server providing read-only access to Obsidian vaults, enabling AI models to search, list, and analyze Markdown notes with metadata and tag support.
Warden Magento
A comprehensive MCP server that integrates AI assistants with Warden and Magento 2 development environments, enabling automated project lifecycle management and containerized command execution.
Sequential Thinking MCP Server
A specialized MCP server that facilitates structured, multi-step problem solving with support for thought revision, branching logic, and dynamic planning through a Streamable HTTP transport.
DingTalk MCP Server
A specialized MCP server that enables Claude to interact with DingTalk workspace APIs to search for employees, retrieve detailed profile information, and send direct messages within an organization.
Temporal Cortex Calendar MCP
12 deterministic calendar tools — temporal context, scheduling, availability, and booking
Obsidian Elite RAG MCP Server
Transform Obsidian vaults into AI-powered knowledge bases using a multi-layer RAG architecture that combines vector search with Graphiti knowledge graphs for advanced semantic retrieval and relationship mapping.
Panda Odoo MCP Server
A standardized MCP interface for Odoo instances, enabling CRUD operations, custom method execution, and real-time data streaming via stdio and HTTP protocols.
Access and SQLite MCP Server
A robust MCP server designed to interface with Microsoft Access and SQLite databases, offering comprehensive SQL execution, data import/export for CSV and Excel formats, and metadata management through file-linked notes.
PICO-8 MCP Server
An MCP server for analyzing, manipulating, and documenting PICO-8 game carts. It leverages the shrinko8 toolkit to provide token counting, minification, and code analysis directly through natural language interfaces.
Linear
MCP (Model Context Protocol) Server. Integrates with Linear's project management platform to enable querying, creating, and updating sprint issues across teams using TypeScript and the Linear SDK.
MCP-MinerU
A specialized MCP server for document and image parsing that extracts text, structured tables, and LaTeX formulas from PDFs and images using MinerU, featuring optimization for Apple Silicon.
Lemon Squeezy Server
A comprehensive MCP server for managing Lemon Squeezy stores, enabling programmatic control over products, subscriptions, checkouts, and webhooks with built-in audit logging.
lacylights-mcp
LacyLights MCP provides an AI-powered theatrical lighting design system that integrates with DMX fixtures. It allows AI assistants to generate scenes from natural language, analyze scripts for cues, manage fixture patching, and control professional lighting playback.
MisterSandFR-supabase-mcp-selfhosted
A comprehensive MCP server for managing self-hosted or cloud Supabase instances, providing over 50 tools for database administration, authentication, storage, migrations, and performance monitoring.
Feedback Loop
A human-in-the-loop feedback system that spawns an Electron-based GUI to collect structured user input, quick suggestions, and text responses during AI development workflows.
AI Translation
A robust translation server that handles JSON internationalization files using AI providers like Gemini, OpenAI, and DeepSeek, featuring intelligent multi-file deduplication and structural preservation.
Vault MCP
An embedded MCP server for Obsidian that provides structured data management, fuzzy search, and file operations via standardized tools, allowing LLMs to interact reliably with vault content.
Node Omnibus
MCP (Model Context Protocol) Server. Enables AI-assisted Node.js and TypeScript development optimized for popular frameworks, offering code generation, debugging, and project management capabilities.
gitstandup
Generate daily standup notes from git commits across multiple repositories with AI summaries.
Nano Banana MCP Server
A specialized MCP server for Google Gemini Flash 2.5 that enables text-to-image generation, natural language image editing, and multi-image composition with built-in batch processing.
ffmpeg-mcp
A comprehensive media processing MCP server that provides a high-level interface for FFmpeg, enabling video editing, metadata extraction, frame capture, and complex transitions.
par5-mcp
A workflow automation server that enables parallel execution of shell commands and AI coding agents across customizable lists of items with real-time streaming output.
PypReader-MCP
A development tool that allows AI agents to inspect local Python environments by exploring package structures, reading source code, and fetching PyPI documentation.