This topic covers AI tools and crypto market data APIs that enable on‑chain data analysis and blockchain intelligence by connecting LLMs and autonomous agents to live blockchain, market and social feeds. As of 2025‑11‑28 the field is defined by Model Context Protocol (MCP) servers and purpose‑built connectors that standardize access to price feeds, on‑chain events, sentiment metrics and DEX execution across multiple networks. Key categories include MCP servers that expose market APIs (CoinGecko, CoinMarketCap, DexPaprika), chain‑specific tooling (TON Blockchain MCP, Bsc‑mcp), analytics and monitoring (whale‑tracker‑mcp), sentiment feeds (crypto‑sentiment‑mcp), and execution agents for DeFi (Ember AI, uniswap‑trader‑mcp). Heurist Mesh Agent is an example of an MCP bridge that brings Heurist Mesh APIs to Claude, illustrating the trend of composable agent networks. Together these tools let AI agents perform tasks such as real‑time price aggregation, cross‑chain arbitrage routing, large‑transaction alerts, social sentiment correlation, and automated token swaps with multi‑hop optimization. Relevance in 2025 stems from growing on‑chain activity, multi‑chain DeFi complexity, and heightened needs for faster investigation, risk monitoring and compliant automation. Standardized MCP interfaces reduce integration friction for developers and make it easier to combine market data APIs, on‑chain telemetry and execution primitives into repeatable workflows. For practitioners evaluating tools, the practical tradeoffs are coverage (networks/tokens), latency and execution controls versus governance and auditability — factors that determine suitability for trading, compliance, forensic analysis or research. This landscape is pragmatic and rapidly evolving: MCP connectors and specialized servers are the current backbone for operationalizing on‑chain intelligence with AI.