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GalaConnect MCP Server

MCP Server

Real-time access to Gala ecosystem data via Model Context Protocol

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Updated Apr 1, 2025

About

The GalaConnect MCP Server exposes a set of tools that retrieve comprehensive information about Gala ecosystem coins, recent blockchain transactions, burned tokens, and market metrics. It enables developers to integrate up-to-date Gala data into AI applications.

Capabilities

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

Overview

The GalaConnect MCP Server is a specialized bridge that exposes the full range of data available from the Gala ecosystem to AI assistants via the Model Context Protocol. By wrapping the Galascan APIs into a set of well‑defined tools, it eliminates the need for developers to write custom integrations or manage API keys when they want their assistants to pull real‑time blockchain information. This makes it possible for AI agents to answer questions about token supplies, recent activity, or market metrics without leaving the conversational flow.

At its core, the server offers five distinct tools that cover the most common data needs for blockchain analytics. The chain_coin_info_all tool delivers a comprehensive snapshot of every Gala‑supported token, including volume, holder counts, mint/burn history, and market capitalization. Burned_today surfaces the total amount of tokens that have been destroyed in a 24‑hour window, a key metric for deflationary projects. All_transactions provides a rolling list of the latest transactions, with optional limits to keep payloads small. Coin_info pulls in broader cryptocurrency data (price, volume, rankings) so that users can compare Gala tokens against the wider market. Finally, circulating_supply_metrics gives up‑to‑date supply figures that are essential for assessing scarcity and inflation dynamics.

The value of these capabilities lies in their immediacy and fidelity. Because the tools query live Galascan endpoints, an AI assistant can answer time‑sensitive questions—such as “How many Gala tokens were burned yesterday?” or “Show me the top 10 recent transfers”—within seconds of a user’s request. Developers can embed these tools into workflows that span financial analysis, portfolio monitoring, or compliance checks, all while keeping the logic inside the assistant rather than in external scripts.

Real‑world use cases include building a crypto research bot that automatically updates dashboards, creating a customer support assistant that explains token economics to new users, or integrating with automated trading systems that trigger actions when certain supply thresholds are crossed. Because the MCP interface is standardized, any AI platform that supports Model Context Protocol can consume these tools without modification, ensuring broad compatibility across the ecosystem.

What sets GalaConnect apart is its focus on the Gala network’s unique features—such as token burn events and channel‑specific transaction data—and its seamless exposure of those details through a simple, declarative tool set. Developers can therefore prototype sophisticated blockchain interactions in minutes, leveraging the full power of AI assistants to interpret and act on live data.