Ragie MCP Server

A Model Context Protocol (MCP) server for Ragie

Local serverstdioTypeScript

What is the Ragie MCP server?

Ragie mcp server connects Ragie to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server for Ragie.

What Ragie does

If you would like users within your company to be able to access you knowledge base in applications like Claude or ChatGPT, you may need MCP Bridge

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.

Tools it exposes

Once connected, the assistant can call these 2 tools directly:

  • ragie — For interacting with the Ragie API
  • zod — For runtime type validation

Installing the ragie mcp server

The server is distributed via npm as @ragieai/mcp-server, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Configuration

Before the server will start you need to supply one environment variable: RAGIE_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

  • Node.js >= 18 - A Ragie API key

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Ragie sits in that group, and the shape of its toolset — ragie, zod — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Maintained by ragieai, written in TypeScript.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the ragie mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

Available tools

ToolWhat it does
ragieFor interacting with the Ragie API
zodFor runtime type validation

How to install the Ragie MCP server

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

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Node.js >= 18 - A Ragie API key
VariableDescriptionRequired
RAGIE_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Ragie to ragie.
  • Use Ragie to zod.

Frequently asked questions

It connects Ragie to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (ragie, zod) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Ragie directly.