pulsemcp Safe content atomic mcp-remote

CryptoWeather

This MCP server provides AI assistants with access to CryptoWeather's Bitcoin price prediction signals through four specialized tools for retrieving current signals, trading recommendations, performance metrics, and signal methodology information. Built by the CryptoWeather Team using Python with FastMCP and requests, it connects to the CryptoWeather API at cryptoweather.xyz to deliver AI-powered Bitcoin trading insights including position clarity, profit information, and detailed trading advice with buy/sell/hold recommendations. The implementation includes configurable debug mode and API endpoint settings through Smithery configuration, making it valuable for traders seeking AI-driven Bitcoin market analysis, developers building cryptocurrency trading bots, and AI assistants requiring programmatic access to quantitative trading signals without manual market research.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
finance
Source
PulseMCP
Author type
human
Updated
2026-07-20
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Use via MCP

MCP

Resolve CryptoWeather from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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