Ragie Model Context Protocol Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Ragie Model Context Protocol Server
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:
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:
Cursor Configuration
To use this MCP server with Cursor:
Option 1: Create an MCP configuration file
- 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
:
Option 2: Use a shell script
- Save a file called
ragie-mcp.sh
on your system:
- Give the file execute permissions:
chmod +x ragie-mcp.sh
- Add the MCP server script by going to Settings -> Cursor Settings -> MCP Servers in the Cursor UI.
Replace your_api_key
with your actual Ragie API key and optionally set the partition ID if needed.
Claude Desktop Configuration
To use this MCP server with Claude desktop:
- 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
:
Replace your_api_key
with your actual Ragie API key and optionally set the partition ID if needed.
- Restart Claude desktop for the changes to take effect.
The Ragie retrieval tool will now be available in your Claude desktop conversations.
Features
Retrieve Tool
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
The tool returns:
- An array of content chunks containing matching text from the knowledge base
Development
This project is written in TypeScript and uses the following main dependencies:
@modelcontextprotocol/sdk
: For implementing the MCP serverragie
: For interacting with the Ragie APIzod
: For runtime type validation
Development setup
Running the server in dev mode:
Building the project:
License
MIT License - See LICENSE.txt for details.
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An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.
- Description
- Prerequisites
- Installation
- Cursor Configuration
- Claude Desktop Configuration
- Features
- Development
- License