Bitpoort
MCP ServerFreeOn-chain blockchain data for AI agents. 41 MCP tools for whale tracking, entity analysis, exchange flows, ML predictions, wallet profiling, direct Ethereum RPC, and cross-chain signals across Ethereum, Bitcoin, and Hyperliquid.
Capabilities5 decomposed
whale tracking with on-chain data analysis
Medium confidenceThis capability uses real-time on-chain data aggregation to identify and track large cryptocurrency transactions, known as whale movements. By leveraging a combination of Ethereum RPC calls and cross-chain data signals, it provides insights into market trends and potential price movements, enabling users to make informed trading decisions. The architecture supports seamless integration with multiple blockchain networks, enhancing the breadth of data available for analysis.
Utilizes a multi-chain architecture that integrates data from Ethereum, Bitcoin, and Hyperliquid, allowing for comprehensive tracking across different ecosystems.
More comprehensive than single-chain trackers by providing cross-chain visibility and insights.
entity analysis for wallet profiling
Medium confidenceThis capability performs deep analysis of wallet addresses to identify ownership patterns, transaction histories, and associated entities. It employs machine learning algorithms to classify wallets based on their behavior and interactions across multiple exchanges and chains. The integration with various blockchain data sources allows for a holistic view of wallet activities, enhancing the profiling accuracy.
Incorporates advanced ML techniques to enhance wallet profiling accuracy, distinguishing it from traditional heuristic-based methods.
Provides deeper insights through machine learning compared to basic transaction history analysis tools.
exchange flow monitoring with direct rpc access
Medium confidenceThis capability allows users to monitor real-time exchange flows by directly querying exchange APIs through Ethereum RPC. It captures and analyzes trades, liquidity movements, and order book changes, providing users with timely insights into market dynamics. The architecture supports rapid data retrieval and processing, ensuring that users receive up-to-date information to inform their trading strategies.
Combines direct RPC access with advanced data processing techniques, enabling faster and more reliable exchange flow monitoring than typical REST API methods.
Faster data retrieval compared to REST-based monitoring tools due to direct blockchain queries.
cross-chain signal generation for trading strategies
Medium confidenceThis capability generates trading signals based on cross-chain data analysis, identifying trends and correlations between different cryptocurrencies. By aggregating data from Ethereum, Bitcoin, and Hyperliquid, it provides users with actionable insights that can inform their trading strategies. The implementation uses a combination of statistical analysis and machine learning to enhance signal accuracy and relevance.
Utilizes a unique cross-chain data aggregation method that enhances signal generation compared to single-chain analysis tools.
Provides a broader perspective on market trends by analyzing multiple blockchains simultaneously.
machine learning predictions for market trends
Medium confidenceThis capability employs machine learning algorithms to predict market trends based on historical blockchain data and transaction patterns. By training models on extensive datasets, it can forecast price movements and market behavior, providing users with predictive insights that can guide their investment decisions. The architecture supports continuous learning, allowing the model to adapt to changing market conditions.
Incorporates a continuous learning framework that allows for real-time adaptation of models to new market data, enhancing prediction accuracy.
More adaptive than static prediction models that do not update with new data.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Bitpoort, ranked by overlap. Discovered automatically through the match graph.
cryptoiz-mcp
CryptoIZ MCP v4.16.17 — AI-powered Solana DEX whale intelligence. 9 tools (7 paid + 2 free): whale alpha scanner, divergence (hidden/breakout/classic), accumulation/neutral/distribution phase scoring, BTC macro regime, BTC Futures signal. Pay per call with USDC via x402 Dexter — gas sponsored, no SO
Laika
Enhance Web3 decisions with real-time blockchain AI...
Kirha Crypto
Connect your LLM to real-time crypto data. Track Ethereum wallet portfolios and P&L, Bitcoin Ordinals, whales' movements, market trends, news sentiment, and more. Perfect for building a crypto-omniscient AI agent: From investment co-pilot to on-chain investigation assistant.
DuckChain
Explore blockchain data across addresses, tokens, blocks, and transactions. Investigate any transaction end-to-end with transfers, internal calls, logs, traces, and summaries to audit activity and trace fund flows. Monitor wallets, balances, holders, NFTs, and market trends with charts and stats to
Token Holder Analysis — Distribution & Whale Detection
Token holder distribution API for AI agents. Analyze any ERC-20 token's holder structure: top holders with % ownership, whale count, Gini concentration coefficient, holder trend (growing/shrinking), and smart money addresses. Tools: token_get_holder_analysis. Use this for due diligence before inve
profitspot-mcp
AI-powered DeFi analytics MCP server. 7 tools for discovering yield opportunities, analyzing liquidity pools, tracking whale wallets, monitoring token launches, and real-time DeFi market intelligence. Supports Ethereum, Base, Arbitrum, and more.
Best For
- ✓traders and analysts focused on market movements
- ✓compliance officers and security analysts
- ✓quantitative traders and market analysts
- ✓algorithmic traders and strategists
- ✓data scientists and financial analysts
Known Limitations
- ⚠Dependent on network latency; real-time tracking may experience delays during high traffic.
- ⚠Analysis is limited to publicly available data; private transactions remain untraceable.
- ⚠Limited to exchanges that provide RPC access; not all exchanges may support this.
- ⚠Signal accuracy may vary based on market conditions; requires continuous model training.
- ⚠Model performance may degrade without regular retraining on new data.
Requirements
Input / Output
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On-chain blockchain data for AI agents. 41 MCP tools for whale tracking, entity analysis, exchange flows, ML predictions, wallet profiling, direct Ethereum RPC, and cross-chain signals across Ethereum, Bitcoin, and Hyperliquid.
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