MCP Server for Things3 is a Model Context Protocol (MCP) server that enables integration with the macOS app Things3. It allows users to create and manage tasks and projects via the MCP protocol, using a combination of AppleScript and x-callback URLs. Special features include synchronization with Agenda projects, creating new projects and to-dos with detailed properties, and listing current tasks.
MCP Server for Things3 provides a bridge between Things3 and other applications or workflows by enabling programmatic access to its task and project management capabilities. This can streamline productivity by automating repetitive tasks, synchronizing data across platforms like Agenda, and enhancing customization through scripting.
MCP Server for Things3 was developed by Jamie Forrest, as indicated in the repository details under the author section.
The source code for MCP Server for Things3 is hosted on GitHub at drjforrest/mcp-things3. You can clone the repository to install and use it locally.
Based on the commit history provided, all files were part of the 'initial commit,' but no specific date is mentioned in the content provided.
To install MCP Server for Things3, ensure you have Python 3.8+ and Things3 installed. Clone the repository and run `pip install -e .` to set up dependencies.
The server includes tools such as `create-things3-project`, which creates new projects in Things3; `create-things3-todo`, which adds new to-dos with various options; and `sync-agenda-project`, which mirrors an Agenda project in Things3.
The server uses x-callback-url for creating items in Things3, AppleScript for retrieving data from Things3, and the MCP protocol for communication between systems.
Yes, MCP Server for Things3 is open-source software licensed under the MIT License.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.