# SignalGate MCP

> SignalGate MCP — rationaloptimist140-signalgate-mcp. Use this tool when you need to analyze crypto market sentiment in real-time for informed decision-making. The SignalGate MCP provides actionable alpha for BTC, ETH, and SOL using Google Gemini 2.0, solving problems of market uncertainty and information overload. It takes in market data as input and outputs sentiment analysis, making it ideal for AI agents seeking to make data-driven trading decisions.

Canonical page: https://skillsregistry.net/skills/rationaloptimist140-signalgate-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rationaloptimist140-signalgate-mcp

## Description

Provides real-time crypto market sentiment analysis for BTC, ETH, and SOL using Google Gemini 2.0, enabling AI agents to get actionable alpha.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xch6urbpay)
- **Repository:** <https://github.com/Rationaloptimist140/signalgate-mcp>

## 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": "rationaloptimist140-signalgate-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rationaloptimist140-signalgate-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rationaloptimist140-signalgate-mcp/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