Productivity

Asana MCP Server by CData

Enables running multiple Claude prompts simultaneously in parallel with support for file contexts and output redirection to individual files.

A server that enables control of Unreal Engine 5.5+ using natural language commands, allowing users to create Blueprints, manipulate actors, work with nodes, manage project settings, and create UMG widgets through the Model Context Protocol.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

Generates harmonious color schemes for design projects using The Color API, offering eight different palette generation methods including monochrome, analogic, complement, triad, and quad schemes.

A Model Context Protocol server that enables AI language models like Claude to securely interact with Microsoft OneNote data, allowing for reading, writing, searching, and comprehensive editing of notebooks, sections, and pages directly through an AI interface.

Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.

A multi-server implementation that uses OpenAI's LLM to orchestrate multiple tool servers providing web search, weather lookup, random facts, and PostgreSQL database querying capabilities.

A set of tools allowing AI assistants to interact directly with GitHub, enabling automation of tasks like fetching user profiles, creating repositories, and managing pull requests.

A Model Control Protocol server that enables AI assistants to control a browser through tools for web automation tasks like navigation, typing, clicking, and taking screenshots.

A server that enables Cursor users to view, create, and manage Google Calendar events through natural language commands using the MCP protocol with Google OAuth2 authentication.

A modern Model Control Plane (MCP) project that provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities through Python, FastAPI, and Docker.

MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of notes via Claude Desktop integration.

Google Calendar MCP Server by CData

A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.

A Model Context Protocol server that allows users to interact with their CalDAV, CardDAV, and WebDAV services (calendars, contacts, and files) from Fastmail and Apple iCloud accounts.

A custom server that provides a REST API interface for Notion, allowing easy access to Notion's functionality through Cursor's MCP feature.

A modular system for building and orchestrating AI applications through microservices, featuring LLM interactions, Jupyter notebook execution, and visual workflow capabilities.

A personal knowledge management system built on the Model Context Protocol that transforms daily notes into organized, searchable knowledge.

A minimal Model Context Protocol server implementation that provides tools for managing a to-do list, allowing users to create tasks, list them, and mark them as completed via JSON-RPC calls.

This is an MCP Server for Trello that enables interaction with Trello's API through natural language, allowing management of boards, cards, lists, and other Trello resources.

An MCP Server that enables interaction with Google's Service Usage API, allowing management and control of which Google Cloud Platform APIs and services are enabled for a project.

Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

An MCP Server that enables interaction with Google's Data Labeling API, allowing users to manage datasets, annotations, and labeling tasks through natural language commands.

A Model Control Protocol (MCP) server that enables remote programmatic control of Jupyter notebooks, allowing AI assistants and applications to create, edit, and execute notebook cells via SSE protocol.

A Multi-Agent Collaboration Protocol server that enables coordinated AI collaboration through task management, context sharing, and agent interaction visualization.

A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

Provides API tools to interact with Yonote documents and collections, serving as an alternative to Notion with capabilities to list documents/collections and retrieve detailed document information.

A bridge that exposes structured, verifiable context and query capabilities of a local Temporal Knowledge Graph to MCP-compatible AI agents, enabling them to access explicit project history and relationships rather than just semantic content.