R

Ragieai Ragie MCP Server

The Ragie Model Context Protocol Server provides knowledge base retrieval capabilities for AI models and supports querying relevant information in the Ragie knowledge base through the MCP protocol.
2 points
22

What is the Ragie MCP server?

The Ragie MCP server is a bridge connecting AI models and the Ragie knowledge base. It allows AI models to query relevant information in the knowledge base through standard protocols. The server provides a tool called'retrieve' that can search the knowledge base and return relevant content snippets.

How to use the Ragie MCP server?

You can use this service by configuring the Cursor or Claude desktop application, or by running it directly through the command line. An Ragie API key is required to access the knowledge base.

Use cases

This service is very useful when an AI model needs to query enterprise knowledge bases, product documentation, or any structured information stored in Ragie. It is particularly suitable for AI application scenarios that require real - time access to the latest information.

Main features

Retrieval functionProvides a'retrieve' tool that can search the Ragie knowledge base and return relevant content snippets. Supports customizing the number of returned results and relevance sorting.
Partition supportAllows specifying a specific knowledge base partition for queries to ensure the most relevant information is obtained.
Custom descriptionAllows providing a custom description for the retrieval tool, enabling AI models to better understand how to use this function.

Advantages and limitations

Advantages
Standardized interface: Uses the MCP protocol and is compatible with multiple AI models
Flexible configuration: Supports custom partitions and tool descriptions
Efficient retrieval: Provides relevance sorting and result quantity control
Limitations
Requires an Ragie API key to use
Only supports text content retrieval
Depends on the content quality of the Ragie knowledge base

How to use

Get an API key
Obtain your API key from the Ragie platform
Install the server
Install the MCP server via npm or run it directly
Configure the client
Configure the MCP server connection in the Cursor or Claude desktop application

Usage examples

Product support Q&AThe AI assistant uses the MCP server to query product documentation and answer user questions
Policy queryThe HR assistant queries the latest company leave policy

Frequently Asked Questions

Do I need to pay to use this service?
How do I know if my query is successful?
Can I query multiple partitions at the same time?

Related resources

Ragie official documentation
Complete documentation for the Ragie platform
MCP protocol specification
Official specification of the Model Context Protocol
GitHub repository
Server source code and issue tracking
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "ragie": {
      "command": "npx",
      "args": [
        "-y",
        "@ragieai/mcp-server",
        "--partition",
        "optional_partition_id"
      ],
      "env": {
        "RAGIE_API_KEY": "your_api_key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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