Ragie Model Context Protocol Server
About
An MCP server for accessing Ragie's knowledge base retrieval capabilities.
Details
- License
- MIT license
Explore
- Provides a single “retrieve” tool for knowledge base queries.
- Accepts query, topK, rerank, and recencyBias parameters.
- Returns an array of relevant content chunks.
- Supports custom tool description and partition ID overrides.
- Runs on Node.js >= 18 with a Ragie API key.
- Works with Cursor and Claude Desktop MCP configurations.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Ragie Model Context Protocol ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Node.js >= 18
- A Ragie API key
To use this MCP server with Cursor:
1. Save a file called mcp.json
For tools specific to a project, create a .cursor/mcp.json file in your project directory. This allows you to define MCP servers that are only available within that specific project.
For tools that you want to use across all projects, create a ~/.cursor/mcp.json file in your home directory. This makes MCP servers available in all your Cursor workspaces.
Example mcp.json:
{
"mcpServers": {
"ragie": {
"command": "npx",
"args": [
"-y",
"@ragieai/mcp-server",
"--partition",
"optional_partition_id"
],
"env": {
"RAGIE_API_KEY": "your_api_key"
}
}
}
}
To use this MCP server with Claude desktop:
1. Create the MCP config file claude_desktop_config.json:
For MacOS: Use ~/Library/Application Support/Claude/claude_desktop_config.json
For Windows: Use %APPDATA%/Claude/claude_desktop_config.json
Example claude_desktop_config.json:
{
"mcpServers": {
"ragie": {
"command": "npx",
"args": [
"-y",
"@ragieai/mcp-server",
"--partition",
"optional_partition_id"
],
"env": {
"RAGIE_API_KEY": "your_api_key"
}
}
}
}
Replace your_api_key with your actual Ragie API key and optionally set the partition ID if needed.
2. Restart Claude desktop for the changes to take effect.
The Ragie retrieval tool will now be available in your Claude desktop conversations.
Running the server in dev mode:
RAGIE_API_KEY=your_api_key npm run dev -- --partition optional_partition_id
Building the project:
npm run build
query
(string): The search query to find relevant information
topK
(number, optional, default: 8): The maximum number of results to return
rerank
(boolean, optional, default: true): Whether to try and find only the most relevant information
recencyBias
(boolean, optional, default: false): Whether to favor results towards more recent information
The server provides a retrieve tool that can be used to search the knowledge base. It accepts the following parameters:
- query (string): The search query to find relevant information
- topK (number, optional, default: 8): The maximum number of results to return
- rerank (boolean, optional, default: true): Whether to try and find only the most relevant information
- recencyBias (boolean, optional, default: false): Whether to favor results towards more recent information
The tool returns:
- An array of content chunks containing matching text from the knowledge base
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ragie model context protocol server": {
"ragie-mcp-server": {
"command": "npx",
"args": [
"@ragieai/mcp-server"
],
"env": {
"RAGIE_API_KEY": "your_api_key"
}
}
}
}
}McpServers
{
"ragie-mcp-server": {
"command": "npx",
"args": [
"@ragieai/mcp-server"
],
"env": {
"RAGIE_API_KEY": "your_api_key"
}
}
}A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capabilities.
Description
This server implements the Model Context Protocol to enable AI models to retrieve information from a Ragie knowledge base. It provides a single tool called "retrieve" that allows querying the knowledge base for relevant information.
Prerequisites
- Node.js >= 18
- A Ragie API key
Installation
The server requires the following environment variable:
- RAGIE_API_KEY (required): Your Ragie API authentication key
The server will start and listen on stdio for MCP protocol messages.
Install and run the server with npx:
RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server
Command Line Options
The server supports the following command line options:
- --description, -d <text>: Override the default tool description with custom text
- --partition, -p <id>: Specify the Ragie partition ID to query
Examples:
```bash
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