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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/2051project/cryptoweather
- Author type
- human
- Updated
- 2026-07-20
Use via 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 --scope user for --scope project to commit it to .mcp.json.