Blockscout MCP Server
MCP ServerFreeProvide AI agents and automation tools with contextual access to blockchain data including balances, tokens, NFTs, and contract metadata. Enable multi-chain support and deliver enhanced user experience with progress notifications for long-running queries. Facilitate seamless integration with AI host
Capabilities4 decomposed
contextual blockchain data retrieval
Medium confidenceThis capability allows AI agents to access real-time blockchain data such as balances, tokens, NFTs, and contract metadata. It utilizes a modular architecture that connects to various blockchain nodes, enabling seamless multi-chain support. The integration with AI hosts like Claude Desktop facilitates advanced data analysis by providing contextual data directly to AI models, enhancing their decision-making capabilities.
Utilizes a modular architecture that connects to various blockchain nodes for real-time data retrieval, unlike traditional APIs that may only support single chains.
More versatile than standard blockchain APIs by supporting multiple chains simultaneously and providing contextual data for AI analysis.
progress notification for long-running queries
Medium confidenceThis capability provides users with real-time progress updates for long-running queries, enhancing user experience during data retrieval. It employs a pub/sub model to push notifications to the client, allowing users to receive updates without polling the server. This design choice minimizes server load and improves responsiveness, making it distinct from traditional synchronous query methods.
Employs a pub/sub model for real-time notifications, contrasting with traditional polling methods that can be inefficient and resource-intensive.
More efficient than polling-based systems, reducing server load and providing immediate feedback to users.
multi-chain data integration
Medium confidenceThis capability enables seamless integration of data across multiple blockchain networks, allowing AI agents to interact with various chains without needing separate configurations. It employs a unified data model that abstracts the differences between chains, making it easier for developers to build cross-chain applications. This approach reduces complexity and enhances the flexibility of blockchain interactions.
Utilizes a unified data model to simplify cross-chain interactions, which is often cumbersome in traditional blockchain applications.
More streamlined than typical multi-chain solutions that require extensive configuration and management for each chain.
ai model integration for blockchain analysis
Medium confidenceThis capability allows for the integration of AI models, such as Claude Desktop, to analyze blockchain data contextually. It leverages a function-calling API that enables AI models to query blockchain data directly, facilitating advanced analytics and decision-making processes. This design choice enhances the AI's ability to provide insights based on real-time data, setting it apart from static analysis tools.
Facilitates direct querying of blockchain data by AI models through a function-calling API, which is less common in traditional analytics setups.
Provides more dynamic insights compared to static analysis tools that do not leverage real-time data.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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An MCP server that connects ZetaChain CLI into your editor. Query balances, send cross-chain transactions, and manage universal contracts directly through MCP.
Best For
- ✓developers building multi-chain applications requiring real-time blockchain data
- ✓developers creating user-facing applications that require real-time feedback
- ✓developers building decentralized applications that require cross-chain functionality
- ✓data scientists and developers working on AI-driven blockchain analytics
Known Limitations
- ⚠Latency may vary depending on the blockchain network's response time
- ⚠Limited to public blockchain data; private chains are not supported
- ⚠Notification delivery may be affected by network latency
- ⚠Requires client-side implementation to handle notifications
- ⚠Complexity increases with the number of chains integrated
- ⚠Not all chains may support the same data types
Requirements
Input / Output
UnfragileRank
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About
Provide AI agents and automation tools with contextual access to blockchain data including balances, tokens, NFTs, and contract metadata. Enable multi-chain support and deliver enhanced user experience with progress notifications for long-running queries. Facilitate seamless integration with AI hosts like Claude Desktop for blockchain data analysis.
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