The Graph Integrates AI Tools to Query DeFi Data Across 40 Protocols
The Graph Integrates AI Tools to Query DeFi Data Across 40 Protocols
🤖 AI meets DeFi data
The Graph has launched Model Context Protocol (MCP) integration that allows AI assistants like Claude to query blockchain data conversationally across multiple DeFi protocols.
Key capabilities:
- Access lending rates across 40 DeFi protocols spanning multiple chains
- Query data from protocols like Aave across 7 chains without writing code
- Simulate risk scenarios and track liquidation events in real-time
- Monitor governance proposals through natural conversation
The MCP server acts as middleware between AI assistants (Claude, Cursor, Copilot) and The Graph's indexed Subgraphs. It eliminates the need to know GraphQL, manually search through 15,000+ Subgraphs, or write custom queries.
Messari's standardized Subgraphs solved DeFi's data fragmentation problem by creating uniform schemas across protocols. The MCP integration now makes this data accessible through AI conversation rather than code.
Developers can prototype dashboards, content creators can query live data while writing, and analysts can run complex scenarios - all through natural language requests to AI assistants.
Here’s a great example of what The Graph can help you do in 2026. Three custom Subgraphs. Ten MCP tools. $1.7B in onchain prediction market data, accessible through natural conversation. One weekend. One builder. One API key.
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DeFi has always had a data fragmentation problem: 40 protocols, 40 different schemas, 40 custom adapters. @MessariCrypto 's standardized Subgraphs solved the fragmentation. MCP connected it to AI. This is what it looks like when those two things meet. Now you can use The
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Builders: prototype @aave dashboards by describing what you want. AI fetches real @graphprotocol data while you iterate. Content creators: the data in your next thread can be queried live while you write. No stale numbers. No manual lookups. graph-aave-mcp. One npm install.
If you work with @aave data — as a researcher, builder, risk analyst, or writer — this changes your workflow. Real-time lending markets, liquidations, flash loans, health factors & governance. All queryable through plain English via @graphprotocol subgraphs. No GraphQL. No unit
Querying blockchain data today requires knowing GraphQL, finding the right Subgraph out of 15,000+, writing queries, converting units, and stitching results together manually. The Graph MCP (Model Context Protocol) server is middleware that sits between an AI assistant such as
Risk analysts & DeFi researchers! A new blockchain data tool to plug into Claude: graph-aave-mcp gives your AI agent live access to @aave across 7 chains: → Simulate health factors under price crash scenarios → Track liquidation events in real time → Compare supply/borrow
If you work with @aave data — as a researcher, builder, risk analyst, or writer — this changes your workflow. Real-time lending markets, liquidations, flash loans, health factors & governance. All queryable through plain English via @graphprotocol subgraphs. No GraphQL. No unit
The Graph Network Enables AI Agents to Query Blockchain Data in Plain English
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