# cerberus-index [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://cerberusindex.com  
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**Installs:** 0  
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**Directory Page:** https://allmcps.com/mcp/cerberus-index

## Description
XRPL token rug-checks, issuer reputation & AMM data for AI agents. Pay-per-call USDC via x402.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What cerberus-index does

The cerberus-index MCP server provides AI agents with data and checks related to the XRP Ledger (XRPL). Its stated coverage includes token rug-checks, issuer reputation, and automated market maker (AMM) data. These capabilities support agents that need to assess XRPL tokens, examine issuer-related information, or retrieve AMM information during a workflow.

The service is intended for agent use through the Model Context Protocol.

## How it works

An agent sends requests through MCP to obtain XRPL token or AMM-related information. The service uses x402 for pay-per-call billing, with USDC used as the payment currency. This means payment is associated with individual calls rather than described as a general subscription or unrestricted access model.

Those details should be confirmed from the service documentation before implementation.

The cerberus-index MCP server is most relevant when an agent needs data from the XRPL ecosystem as part of a decision or analysis flow. For example, an agent could use the service when reviewing a token for possible rug-risk signals, considering issuer reputation, or inspecting AMM information. The available description does not establish that the service performs trading, executes transactions, or manages assets.

## Tools and capabilities

The documented capability areas are:

- XRPL token rug-checks for agent-driven token assessment.
- Issuer reputation information for evaluating XRPL token issuers.
- AMM data for retrieving automated market maker information.
- Per-call USDC payments handled through x402.

These descriptions identify functional areas rather than exact tool identifiers. No material is provided for determining whether each area is exposed as one MCP tool, several tools, or another MCP resource pattern. The cerberus-index MCP server should therefore be evaluated against the actual tool manifest before an agent is built around specific names or schemas.

## Limitations and notes

The available listing contains no README and only a short service description. It does not document installation commands, transport details, client compatibility, environment variables, authentication steps, network selection, licensing, API limits, or example calls. No claims can be made here about support for particular MCP clients.

The listing also does not define what a rug-check returns, how issuer reputation is calculated, which AMM fields are available, or whether the data is real-time. Confirm those points directly before using the cerberus-index MCP server for automated screening or other decisions where data freshness and methodology matter.

_Full upstream README: https://allmcps.com/mcp/cerberus-index/readme_