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Ragie Model Context Protocol S...

Ragie Model Context Protocol Server

Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

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Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

Key Features

Implements the Model Context Protocol (MCP)

Provides a 'retrieve' tool for querying knowledge bases

Customizable tool description and partition specification

Works with Ragie API through authentication keys

Supports environment and command-line configuration

Easy installation and execution with npx

Integration with Cursor for project or global use

Integration with Claude Desktop

Configurable maximum number of search results (topK)

Supports reranking of search results

Use Cases

Enabling AI assistants to answer questions from organizational knowledge bases

Augmenting AI model context with up-to-date domain-specific information

Integrating knowledge retrieval into custom chatbots via the MCP interface

Enhancing developer productivity in IDEs like Cursor by providing contextual information

Supporting AI copilots in offering real-time knowledge suggestions

Facilitating research assistants with easy access to structured knowledge

Powering intelligent support agents with fast, protocol-based data retrieval

Allowing project-specific or organization-wide deployment of knowledge tools

Enabling seamless plug-and-play knowledge tools for desktop AI applications

Customizing retrieval behavior for varied use cases and partitions

README

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:

bash

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

# With custom description
RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server --description "Search the company knowledge base for information"

# With partition specified
RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server --partition your_partition_id

# Using both options
RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server --description "Search the company knowledge base" --partition your_partition_id

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:

json

{
  "mcpServers": {
    "ragie": {
      "command": "npx",
      "args": [
        "-y",
        "@ragieai/mcp-server",
        "--partition",
        "optional_partition_id"
      ],
      "env": {
        "RAGIE_API_KEY": "your_api_key"
      }
    }
  }
}

Option 2: Use a shell script

Save a file called ragie-mcp.sh on your system:

bash

#!/usr/bin/env bash

export RAGIE_API_KEY="your_api_key"

npx -y @ragieai/mcp-server --partition optional_partition_id

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:

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.

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
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

Development

This project is written in TypeScript and uses the following main dependencies:

@modelcontextprotocol/sdk: For implementing the MCP server
ragie: For interacting with the Ragie API
zod: For runtime type validation

Development setup

Running the server in dev mode:

bash

RAGIE_API_KEY=your_api_key npm run dev -- --partition optional_partition_id

Building the project:

bash

npm run build

License

MIT License - See LICENSE.txt for details.

Star History

Repository Owner

ragieai

Organization

Repository Details

Language JavaScript

Default Branch main

Size 83 KB

Contributors 2

License MIT License

MCP Verified Nov 12, 2025

Programming Languages

JavaScript

100%

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Ragie Model Context Protocol Server

Key Features

Use Cases

README

Ragie Model Context Protocol Server

Description

Prerequisites

Installation

Command Line Options

Cursor Configuration

Option 1: Create an MCP configuration file

Option 2: Use a shell script

Claude Desktop Configuration

Features

Retrieve Tool

Development

Development setup

License

Star History

Repository Owner

Repository Details

Programming Languages

Tags

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