DexPaprika

Fetches and aggregates decentralized exchange pool data across 20+ blockchains (Ethereum, Polygon, Arbitrum, Optimism, Base, Solana, etc.) via the DexPaprika API, providing real-time pool metadata including liquidity, token pair composition, fee tiers, and protocol identifiers. The MCP server acts as a standardized interface layer that normalizes heterogeneous blockchain DEX schemas into a unified query model, enabling clients to request pools by blockchain, protocol, or token pair without managing chain-specific RPC endpoints or DEX contract ABIs.

Retrieves historical and real-time trading volume, price movements, and transaction counts for token pairs across DEX protocols. The capability aggregates volume metrics across multiple DEX venues on the same blockchain, providing traders with comprehensive liquidity and activity signals. Data is normalized into time-series format (hourly, daily aggregations) enabling trend analysis and volatility calculations without requiring manual data transformation or external analytics libraries.

Resolves token identities across multiple blockchains, mapping token addresses to canonical symbols, decimals, logos, and chain-specific contract addresses. The capability handles wrapped/bridged token variants (e.g., USDC on Ethereum vs Polygon vs Arbitrum) and provides canonical token information to prevent address collisions and enable unified token tracking. Uses DexPaprika's centralized token registry which maintains mappings across 5M+ tokens, reducing need for manual address lookups or maintaining separate token lists per chain.

Lists all supported DEX protocols and their availability across blockchains, enabling clients to discover which protocols operate on which chains and their relative market share. The capability returns protocol metadata including protocol type (AMM, order book, hybrid), supported token pairs, and total value locked (TVL) per protocol per chain. This enables dynamic protocol selection for routing and helps identify protocol-specific opportunities or constraints.

Exposes DexPaprika DEX analytics capabilities through the Model Context Protocol (MCP) standard, enabling AI agents and LLM-based tools to invoke DEX queries via standardized function-calling schemas. The MCP server translates natural language requests from Claude or other MCP clients into structured API calls, handles authentication with DexPaprika API keys, manages rate limiting, and returns results in agent-friendly JSON format. This abstraction allows non-technical prompts like 'find high-volume USDC pairs on Ethereum' to be automatically converted to correct API parameters.

Provides metadata for all supported blockchains including chain IDs, RPC endpoints, block explorers, and native token information. The capability enables clients to dynamically discover supported chains and their properties without hardcoding chain lists. Returns standardized chain metadata (name, symbol, decimals, logo) enabling UI rendering and chain selection interfaces.

Retrieves detailed composition of liquidity pools including token reserves, reserve ratios, and impermanent loss indicators. The capability tracks how much of each token is locked in pools and enables calculation of slippage for hypothetical trades. Provides real-time reserve data enabling traders to assess pool depth and identify thin liquidity conditions that may result in high slippage.

Provides historical price data (OHLCV: Open, High, Low, Close, Volume) for token pairs across DEX protocols at multiple time granularities (1m, 5m, 15m, 1h, 4h, 1d). Data is aggregated from on-chain transactions and normalized into candlestick format enabling technical analysis without requiring manual price calculation from transaction logs. Supports time range queries enabling backtesting and historical analysis.