What is Ragie Model Context Protocol Server?
The Ragie Model Context Protocol Server is a server that implements the Model Context Protocol (MCP) to enable AI models to retrieve information from a Ragie knowledge base.
How to use Ragie Model Context Protocol Server?
To use the server, you need to install it using Node.js and provide your Ragie API key as an environment variable. You can start the server with the command: RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server
.
Key features of Ragie Model Context Protocol Server?
- Implements the Model Context Protocol for knowledge retrieval.
- Provides a
retrieve
tool for querying the knowledge base. - Supports command line options for custom descriptions and partition IDs.
Use cases of Ragie Model Context Protocol Server?
- Integrating knowledge retrieval capabilities into AI applications.
- Enabling chatbots to access a structured knowledge base.
- Assisting developers in building applications that require dynamic information retrieval.
FAQ from Ragie Model Context Protocol Server?
- What is required to run the server?
You need Node.js version 18 or higher and a valid Ragie API key.
- Can I customize the tool description?
Yes, you can override the default tool description using command line options.
- Is there a way to specify which partition to query?
Yes, you can specify the partition ID using command line options.
What is Ragie Model Context Protocol Server?
The Ragie Model Context Protocol Server is a server that implements the Model Context Protocol (MCP) to enable AI models to retrieve information from a Ragie knowledge base.
How to use Ragie Model Context Protocol Server?
To use the server, you need to install it using Node.js and provide your Ragie API key as an environment variable. You can start the server with the command: RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server
.
Key features of Ragie Model Context Protocol Server?
- Implements the Model Context Protocol for knowledge retrieval.
- Provides a
retrieve
tool for querying the knowledge base. - Supports command line options for custom descriptions and partition IDs.
Use cases of Ragie Model Context Protocol Server?
- Integrating knowledge retrieval capabilities into AI applications.
- Enabling chatbots to access a structured knowledge base.
- Assisting developers in building applications that require dynamic information retrieval.
FAQ from Ragie Model Context Protocol Server?
- What is required to run the server?
You need Node.js version 18 or higher and a valid Ragie API key.
- Can I customize the tool description?
Yes, you can override the default tool description using command line options.
- Is there a way to specify which partition to query?
Yes, you can specify the partition ID using command line options.