Rongchai Wang
Aug 19, 2025 08:26
Glassnode’s MCP Server, now in beta, integrates institutional-grade blockchain analytics into AI workflows, supporting over 1,700 belongings and 900 metrics. Uncover its capabilities and free entry options.
Glassnode has launched its Mannequin Context Protocol (MCP) server, a strong software that integrates institutional-grade blockchain analytics into synthetic intelligence workflows. This revolutionary server, at the moment in beta, helps over 1,700 digital belongings and greater than 900 metrics, permitting customers to find, retrieve, and analyze on-chain knowledge seamlessly by a big language mannequin (LLM) chat interface. In keeping with Glassnode, the MCP server is now obtainable at no cost exploration, providing a brand new dimension of knowledge accessibility.
Understanding MCP Server’s Capabilities
The MCP server is supplied with six specialised instruments designed to boost the person expertise in blockchain knowledge analytics:
- Asset and Metrics Discovery: Navigate by an unlimited array of supported cryptocurrencies and metrics.
- Metadata Retrieval: Entry detailed details about metrics, together with their parameters and necessities.
- Information Fetching: Retrieve historic knowledge with customizable time resolutions.
These instruments allow customers to interact in interactive exploration, discovering obtainable belongings, metrics, and detailed metadata earlier than fetching particular knowledge.
Exploration and Discovery
The server’s major energy lies in guiding customers by Glassnode’s intensive knowledge catalog. Customers can begin by querying obtainable belongings and metrics, corresponding to asking, “What number of cryptocurrencies does Glassnode assist?” or “Which metrics for futures markets does Glassnode assist?” This interactive method permits customers to discover the choices with out manually sifting by documentation.
Information Evaluation Capabilities
Past discovery, the MCP server facilitates retrieving and analyzing present metric knowledge, offering as much as 30 days of historic knowledge. Customers can carry out complicated queries like evaluating derivatives markets, monitoring ETF flows, or analyzing wealth distribution. As an illustration, queries corresponding to “How does the futures open curiosity between BTC and ETH evaluate over the past week?” showcase the server’s analytical prowess.
Conclusion
The Glassnode MCP server revolutionizes the way in which customers work together with blockchain knowledge, making institutional-grade analytics accessible by pure language queries. This beta launch gives momentary free entry, inviting customers to discover its full potential. The server’s integration with LLM chat interfaces permits for seamless transitions from high-level exploration to detailed evaluation, accommodating customers of various technical backgrounds.
Whereas primarily centered on chat-based interactions, the MCP server’s instruments are additionally appropriate for programmatic workflows, enabling builders to construct refined analytics pipelines. Because the server evolves, person suggestions will play a essential function in shaping its future growth.
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