Dify MCP Server is a TypeScript implementation of a Model Context Protocol (MCP) server that exposes Dify workflows as tools. It converts Dify applications into MCP tools, supports streaming responses from Dify workflows, and is configurable via a YAML configuration file.
Dify MCP Server allows developers to integrate Dify workflows into their applications as tools, providing seamless access to AI-driven capabilities. Its support for streaming responses and type-safe TypeScript code makes it reliable and developer-friendly.
Developers and organizations working with Dify workflows and seeking to expose them as tools in an MCP-compliant environment would benefit from using Dify MCP Server. It's ideal for those familiar with TypeScript and Node.js development.
Dify MCP Server can be installed locally or on any server that meets the prerequisites (Node.js 18+, npm 8+). It can also be automatically installed via Smithery for specific clients like Claude Desktop.
You should use Dify MCP Server when you need to integrate Dify workflows into your application ecosystem as reusable tools, especially if you require streaming responses and want to leverage TypeScript for enhanced type safety.
You can install Dify MCP Server by cloning the repository, installing dependencies using `npm install`, and creating a `config.yaml` file with the required configuration. Alternatively, you can install it via Smithery using the command: `npx -y @smithery/cli install @faiz-gear/dify-mcp-server-ts --client claude`.
The prerequisites include Node.js 18 or higher, npm 8 or higher, and access to Dify API and application secret keys.
Dify MCP Server is configured using a YAML file (`config.yaml`) located in the project root. You can specify options such as `dify_base_url` and `dify_app_sks`. A custom path can be set using the `CONFIG_PATH` environment variable.
Dify MCP Server is licensed under the ISC 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.