Web3 Graphql

    2

    Query Web3 and on-chain GraphQL endpoints using natural language via the Model Context Protocol.

    Free

    15 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    What is the current staking APR and total ETH volume for Lido? Use the Lido subgraph to get the latest on-chain metrics.

    Your agent does

    Assumptions: Analyzing staking rewards for Lido on Ethereum. Summary: The current APR is 3.4%. Total staked ETH is 9.8M. Details: Data fetched from Lido Subgraph via graphql_agent. Next Step: Would you like a breakdown of validator performance?

    About this skill

    What it does

    The Ask GraphQL MCP skill enables your AI agent to interact natively with Web3 and on-chain data through GraphQL endpoints, such as SubGraph and SubQuery. It bridges the gap between natural language requests and complex blockchain schemas by leveraging a specialized Model Context Protocol (MCP) gateway.

    Problem it solves

    Querying blockchain data via GraphQL usually requires developers to manually inspect schemas, write complex nested queries, and manage endpoint connectivity. This skill automates that process: your agent can now answer questions like 'What is the current staking volume on this protocol?' or 'Analyze recent governance proposals' without the agent needing to manually draft every GraphQL query from scratch.

    Why use this skill?

    • Automated Discovery: Includes built-in endpoint discovery if you don't have the specific URL at hand.
    • Reliability: Standardizes query execution through a dedicated MCP agent, reducing syntax errors and hallucinated schemas.
    • Web3 Optimized: Specifically designed for on-chain metrics, pool activity, and protocol analysis.
    • Seamless Workflow: Handles everything from free-tier exploration to authenticated, high-throughput production queries with built-in quota management.

    Output overview

    The skill returns structured interpretations of on-chain data, including assumptions made during the query, a concise answer summary, and the technical details or specific queries provided by the MCP for verification.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    15 installs

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Free to download with an account

    Installs15
    Listed4 months ago

    Frequently Asked Questions

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