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The Graph (GRT) Integrates AI for Natural Language Blockchain Queries - Blockchain.News

The Graph (GRT) Integrates AI for Natural Language Blockchain Queries

Tony Kim Jun 10, 2026 18:06

The Graph introduces MCP servers and AI agent skills, enabling natural language queries for blockchain data without GraphQL or Rust expertise.

The Graph (GRT) Integrates AI for Natural Language Blockchain Queries

The Graph, a leading blockchain data indexing protocol, has unveiled new tools that make querying blockchain data as simple as asking a question in natural language. Through its Model Context Protocol (MCP) servers and AI agent skills, users can now access live on-chain data without needing to write complex GraphQL queries or Rust code. This innovation targets both developers and non-technical users, reshaping how blockchain data is consumed.

MCP servers are now available for the 15,000+ Subgraphs hosted on The Graph Network. These servers allow AI tools such as Claude and Cursor to query Subgraphs using keywords or contract addresses. This means users can pull data from protocols like Uniswap, Aave, and Compound across multiple chains—including Ethereum, Polygon, and Arbitrum—without deploying or managing their own data infrastructure. Meanwhile, Substreams Search MCP extends this functionality to Substreams, enabling advanced data analysis and deployment through natural language commands.

What is MCP and Why It Matters

Developed by Anthropic, the Model Context Protocol allows AI systems to connect to external data sources in real time. For blockchain data, MCP eliminates the need for specialized querying knowledge, letting AI assistants handle the technical heavy lifting. This lowers barriers for users who previously struggled with complex workflows, such as writing GraphQL queries or understanding Subgraph schemas.

The implications are significant. DeFi analysts, for instance, can now query lending rates, liquidity pool data, or yield opportunities across protocols with a single natural-language request. For developers, MCP simplifies the process of searching and deploying blockchain indexing pipelines, reducing both time and technical expertise required.

AI Skills Enhance Developer Efficiency

To complement MCP servers, The Graph has also introduced AI agent skills. These downloadable packages bundle expertise, configurations, and data access, allowing AI assistants to perform tasks like building Subgraphs or optimizing performance with minimal user input. Currently, skills are available for Subgraph and Substreams development, covering everything from schema design to testing and debugging.

For example, the Subgraph Skills package includes tools for automatic schema generation, optimization guidance, and unit testing setup. Developers can now prompt an AI assistant with tasks such as "create a schema for tracking DEX swaps" and receive functional, optimized code. Similarly, Substreams Skills provide expertise for building high-performance indexing pipelines with Rust, complete with SQL database integration and testing.

Market and Ecosystem Context

This rollout aligns with The Graph’s 2026 technical roadmap, which emphasizes AI integration and modular services. The Graph, which supports over 60 blockchain networks, has processed more than 1.27 trillion queries as of early 2026. Its Horizon upgrade in late 2025 introduced a unified staking and payments framework, setting the stage for features like MCP and x402 payments that enable AI agents to autonomously query the network.

While the GRT token’s price sits at $0.019 (as of June 10, 2026), its utility is expected to grow with the adoption of these AI-driven services. Developers and enterprises leveraging the network's advanced tools could increase demand for GRT as query fees and staking collateral.

Looking Ahead

The Graph’s AI-driven tools represent a leap in blockchain accessibility, enabling natural language queries and streamlining development workflows. Upcoming roadmap milestones, including Agent-to-Agent (A2A) integrations and expanded skills packages, will further solidify The Graph’s position as a core data provider for Web3 and AI applications.

For those interested in leveraging these tools, detailed documentation is available on The Graph’s website, along with repositories for MCP and skills packages. With AI integration now central to its strategy, The Graph is well-positioned to serve the growing needs of both developers and non-technical users in the blockchain ecosystem.

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