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Bitquery MCP Integration - AI Agent Tools

Connect Bitquery with AI agents using Model Context Protocol (MCP). Seamlessly integrate Bitquery tools and actions into Claude, Cursor, Windsurf, and other AI applications for enhanced workflow automation.

Features

  • Easy MCP setup with one command
  • Compatible with Claude, Cursor, Windsurf
  • 18+ available tools and actions
  • Built-in authentication and security
  • Real-time synchronization
  • No coding required

Category

Blockchain Data tools for AI automation

Setup Instructions

Install Bitquery MCP server in minutes. Choose your AI platform: Cursor, Claude Desktop, Windsurf, or use HTTP endpoint for custom integrations. Follow our step-by-step guide to connect Bitquery with your AI agent.

Benefits

  • Automate Bitquery workflows with AI
  • Increase productivity with AI-powered Bitquery operations
  • Seamless integration with popular AI platforms
  • Enterprise-grade security and reliability
  • 24/7 support and documentation

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Bitquery
Bitquery

Bitquery provides historical and real-time indexed data for over 40 blockchains through GraphQL APIs, Websockets, SQL, and cloud providers.

VerifiedComposioComposio Managed
Users
6804
Tools
18
Last Updated
12h ago

Category

Blockchain Data

6804VIEWS
2613USERS

Tools

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Aliases Metric

Tool to use graphql aliases to rename fields in the response for clarity and disambiguation. use when you need to query multiple metrics with identical field names in one call.

Archive Database Query

Tool to query the archive database. use when you need full historical blockchain data (delayed by tens of minutes to hours).

Combined Database Query

Tool to query the combined database, which merges archive and real-time databases. use when you need both historical and up-to-the-second blockchain data in one request.

Conditional Metrics Snippet

Tool to generate a graphql metric snippet with conditional logic. use when you need to apply filters directly on metric calculations via the `if` attribute.

Count Distinct Metric

Tool to use the count distinct metric to aggregate unique values for a field. use when you need to count the number of unique occurrences in a dataset.

Count Metric

Tool to use the count metric to aggregate the number of records matching a graphql query. use when you need simple record counts.