#trading-bot

CryptoQuant MCP gives AI agents direct access to institutional-grade on-chain and market data across Bitcoin, Ethereum, XRP, stablecoins, and ERC20 tokens — covering 245 endpoints across exchange flows, miner data, network indicators, derivatives, fund data, and more. Built for analysts and developers who need defensible, data-driven answers, not approximations. Query real-time metrics like exchange netflow, MVRV, SOPR, realized price bands, funding rates, and miner revenue directly inside any MCP-compatible agent — no manual data export, no dashboard switching. Backed by CryptoQuant's professional research team, whose institutional-grade analysis is also accessible via the MCP through research and QuickTake endpoints. Supported assets: BTC, ETH, XRP, Stablecoins, ERC20, TRX Data categories: Exchange flows, miner flows, market indicators, network data, derivatives, fund data, lightning network, mempool, DeFi, AMM/DEX data

Deterministic risk governance for crypto trading agents. Answers "How much can I risk?" with policy level, max position size, leverage limits, and blocked actions — computed from 9+ real-time data sources (on-chain, derivatives, macro, sentiment). Supports BTC and ETH. One tool: get_risk_policy.

K-pop fan token trading platform with MCP server for AI agents on Base chain

This repository provides a comprehensive implementation of the Bitpin cryptocurrency exchange API through an MCP (Model Context Protocol) server.

CCXT MCP Server bridges the gap between AI models and cryptocurrency trading by providing a standardized interface through the Model Context Protocol. Created to empower automated trading strategies, this tool allows AI assistants like Claude and GPT to directly interact with over 100 cryptocurrency exchanges without requiring users to write comple

Test repository for MCP server functionality