MCP Server Trello is a Model Context Protocol (MCP) server that provides tools for interacting with Trello boards. It enables seamless integration with Trello's API while handling rate limiting, type safety, and error handling automatically.
MCP Server Trello offers full Trello board integration, built-in rate limiting, type-safe implementation, input validation, and robust error handling. These features make it easier to interact with Trello boards programmatically without worrying about API limitations or errors.
Developers and teams who want to integrate Trello functionalities into their applications or workflows programmatically would benefit from using MCP Server Trello.
MCP Server Trello can be integrated into any Node.js project where interaction with Trello boards is required. It can be installed via npm and configured in the MCP settings file.
MCP Server Trello should be used when you need to automate tasks on Trello boards, such as fetching cards, managing lists, tracking activities, and more, especially when dealing with multiple requests and needing automatic rate-limiting management.
You can install MCP Server Trello using npm by running the command: `npm install @modelcontextprotocol/mcp-server-trello`.
The required environment variables are `TRELLO_API_KEY`, `TRELLO_TOKEN`, and `TRELLO_BOARD_ID`. You can obtain these from Trello's app key page and your board URL.
Available tools include `get_cards_by_list_id`, `get_lists`, `get_recent_activity`, `add_card_to_list`, `update_card_details`, `archive_card`, `add_list_to_board`, `archive_list`, and `get_my_cards`.
MCP Server Trello implements a token bucket algorithm for rate limiting to comply with Trello's API limits of 300 requests per 10 seconds per API key and 100 requests per 10 seconds per token. Requests will be queued if limits are reached.
Contributions are welcome! Please read the Contributing Guide for details on the code of conduct and the process for submitting pull requests.
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.