Atlas / MCP servers / ragieai / Ragie

RagieSAFE

mcp/ragieai/ragie

Ragie Model Context Protocol Server

Verdict
SAFE
Grade
B
Trust score
89 /100
Exposed tools
1 1r · 0w · 0d
Transport
stdio
License
MIT
Stars
91
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview]

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

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:

RAGIE_API_KEY=your_api_key npx @ragieai/mcp-server

Command Line Options

The server supports the following command line options:

  • --description, -d : Override the default tool description with custom text
  • --partition, -p : Specify the Ragie partition ID to query

Examples:

# 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

  1. Save a file c
Read from source at commit 017c2ab326e7OBSERVED · 2026-10-07
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code
claude mcp add mcp-server --env RAGIE_API_KEY=${RAGIE_API_KEY} -- npx -y @ragieai/[email protected]
claude-desktop
{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@ragieai/[email protected]"
      ],
      "env": {
        "RAGIE_API_KEY": "${RAGIE_API_KEY}"
      }
    }
  }
}
03

Exposed tools (1)

1 read · 0 write · 0 destructive.

ToolRiskDescription
retrieveread
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
not all pinned
Secrets in source
none-found

Findings (1)

LOWSupply chain · supply.unpinned · CWE-829, CWE-1357
package.json
@modelcontextprotocol/sdk, commander, ragie, zod, @types/node, tsx, typescript
Why it matters. 7 dependency range(s) float
Fix. pin exact versions or ship a lockfile

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 017c2ab326e7full audit observations/trust-audit/mcp-server/ragieai__ragie.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-07017c2ab326e7SAFEB89first audit
06

Questions

What is the Ragie MCP server?

Ragie Model Context Protocol Server

What tools does Ragie expose?

1 in total: 1 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.

Is Ragie safe to connect to an agent?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.

What credentials does Ragie need?

It reads RAGIE_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.

How does Ragie run?

It speaks stdio, so it runs as a local process your client starts. It is published on npm as @ragieai/mcp-server at 1.0.0.

How current is this page?

The grade is for one exact copy of the source (017c2ab326e7), read on 2026-10-07. The repository is watched and re-audited when it changes.

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