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SolanaViz MCP Server

MCP Server

ChatGPT meets Solana analytics and visualization

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Updated 24 days ago

About

A Model Context Protocol server that lets Claude fetch, analyze, visualize, and predict Solana blockchain data—including tokens, wallets, and security—via natural language queries.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

SolanaViz MCP Server in Action

Overview

The SolanaViz MCP Server bridges the gap between Claude’s conversational AI and the rich, real‑time data ecosystem of the Solana blockchain. By exposing a suite of data‑centric tools and visualizations, it lets developers ask natural‑language questions about tokens, wallets, and market dynamics—and receive structured insights without leaving the chat interface. This eliminates the need to manually query APIs, parse JSON responses, or build custom dashboards for every inquiry.

Problem Solved

Working with blockchain data typically requires juggling multiple APIs (RPC providers, analytics services, market feeds) and writing boilerplate code to aggregate, filter, and display results. For developers building AI‑augmented tooling or simply exploring the ecosystem, this friction hampers rapid iteration and experimentation. SolanaViz solves these pain points by consolidating key data sources—BirdEye, CoinGecko, Allora, and Helius RPC—into a single MCP endpoint. Claude can now pull token metrics, wallet balances, price histories, and even security assessments with a few well‑structured tool calls.

Core Value for AI Workflows

  • Unified Access: All Solana data is reachable through a single set of MCP tools, simplifying client logic.
  • Rich Context: Claude can embed visual summaries (Sankey diagrams, treemaps) directly in the conversation, turning raw numbers into intuitive narratives.
  • Predictive Insight: AI‑driven price forecasts allow users to discuss future scenarios without running separate models.
  • Security Awareness: Built‑in risk evaluations help developers surface potential vulnerabilities early in the design phase.

Key Features

  • Data Analysis: Fetch token details, wallet holdings, price history, trading pairs, and trending assets.
  • Visualization: Generate textual diagrams (Sankey, treemap) that Claude can render or export for further use.
  • Price Prediction: Leverage Allora’s inference engine to produce short‑term forecasts for any Solana token.
  • Security Analysis: Evaluate smart contract and protocol risk profiles using integrated metrics.
  • Multi‑Wallet Support: Dynamically switch the active wallet context with , enabling comparative studies across addresses.

Real‑World Use Cases

  • Portfolio Management: An AI assistant can advise a user on rebalancing by comparing current holdings against market trends and predicted price movements.
  • DeFi Analytics: Developers can ask for the most active trading pairs on Solana, view liquidity flows with Sankey diagrams, and assess risk before deploying new contracts.
  • Token Launch Insights: Project teams can explore trending tokens, gauge community sentiment via price history, and simulate potential tokenomic outcomes.
  • Security Audits: Teams can run on a list of contracts, quickly triaging those that require deeper manual review.

Unique Advantages

Unlike generic blockchain wrappers, SolanaViz is tightly coupled to Claude’s MCP framework, enabling seamless tool invocation and response handling. Its modular design allows future expansion—adding new data providers or visualization types—without disrupting existing workflows. The server’s use of mock adapters ensures immediate functionality even when underlying SDKs evolve, giving developers a reliable playground for experimentation.