# flare-bridge-sentinel

> flare-bridge-sentinel — 0xconsole-flare-bridge-sentinel. Use this tool when you need to monitor and analyze Flare's interoperable asset ecosystem in real-time, providing insights into FAssets, FTSOv2 prices, and bridge states. It solves problems related to anomaly detection, risk scoring, and automated alerts, offering 8 MCP tools for streamlined ecosystem management. Ideal for use cases requiring real-time on-chain data and proactive risk mitigation, this tool provides actionable outputs for informed decision-making.

Canonical page: https://skillsregistry.net/skills/0xconsole-flare-bridge-sentinel  
JSON: https://api.skillsregistry.net/v1/skills/0xconsole-flare-bridge-sentinel

## Description

MCP server for monitoring Flare's interoperable asset ecosystem, providing real-time on-chain data for FAssets, FTSOv2 prices, and bridge states. It exposes 8 MCP tools for anomaly detection, risk scoring, and automated alerts.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e8dyggwi0o)
- **Repository:** <https://github.com/0xConsole/flare-bridge-sentinel>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "0xconsole-flare-bridge-sentinel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xconsole-flare-bridge-sentinel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xconsole-flare-bridge-sentinel/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt