Trello MCP Server is a TypeScript implementation of a Model Context Protocol (MCP) server designed for seamless integration with Trello. It provides tools enabling AI assistants to interact with Trello boards, lists, and cards via the Trello API, offering features such as asynchronous operations, type-safe implementation, comprehensive error handling, and environment-based configuration.
The Trello MCP Server allows developers to build efficient integrations between AI systems and Trello by leveraging the Model Context Protocol. Its type-safe TypeScript implementation ensures fewer runtime errors, while asynchronous operations improve performance. The server also supports comprehensive error handling for issues like API authentication errors, rate limiting, and invalid parameters, making it reliable for production environments.
Developers and organizations looking to integrate AI-driven workflows with Trello can benefit from this server. It is particularly useful for teams using tools like Cline or other AI assistants that rely on the Model Context Protocol to interact with external services like Trello.
The Trello MCP Server repository is hosted on GitHub under the username 'andypost'. You can access it at https://github.com/andypost/mcp-server-ts-trello.
You should use Trello MCP Server when you need to enable an AI assistant or application to interact with Trello boards, lists, and cards programmatically. It is ideal for scenarios where structured data retrieval and manipulation are required, such as automating workflows, generating reports, or managing tasks.
To install, run `make install`. Create a `.env` file in the root directory with your Trello API credentials (`TRELLO_API_KEY` and `TRELLO_TOKEN`). Use commands like `make build` to compile the project and `make start` to launch the server.
You need Node.js version 18.x or higher, npm or yarn, and valid Trello API credentials to run the Trello MCP Server.
The server offers several tools, including `get_boards`, `get_lists`, `get_cards`, and `get_card_details`, which allow interaction with Trello boards, lists, and cards.
Yes, you can configure Trello MCP Server with Cline by adding the server details to your Cline MCP settings file and restarting the application.
Trello MCP Server is governed by the ISC License. Details can be found in the LICENSE file within the repository.
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.
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