Crypto Orderbook
An MCP server that analyzes order book depth and imbalance across major cryptocurrency exchanges including Binance, Kraken, Coinbase, Bitfinex, OKX, and Bybit. Built with Python using the CCXT library for exchange connectivity and pandas for data processing, it provides two core tools: calculating bid/ask depth and imbalance metrics for specific trading pairs on individual exchanges, and comparing these metrics across multiple exchanges in unified markdown tables. Designed for AI agents and trading systems that need real-time market structure insights, with configurable depth percentage ranges and robust error handling for exchange API interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/kukapay/crypto-orderbook-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Crypto Orderbook 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.