Bitquery Automation
This skill automates Bitquery operations using the Composio Bitquery toolkit via Rube MCP. It's designed for users who need to programmatically query and ana...
Install
npx promptshop add bitquery-automationDetails
What This Skill Does
This skill automates Bitquery operations using the Composio Bitquery toolkit via Rube MCP. It's designed for users who need to programmatically query and analyze blockchain data using Bitquery. The skill enables tool discovery, connection management, and tool execution within a defined workflow.
When to Use
Automate blockchain data queries Analyze transaction patterns Monitor cryptocurrency trends Extract wallet information Automate smart contract analysis Track NFT activity
Key Features
Discovers available Bitquery tools via Rube MCP.Manages Bitquery connections. Executes Bitquery tools with schema validation. Supports session management. Provides documentation links for the toolkit. Highlights the importance of schema compliance.
Bitquery Automation via Rube MCP
Automate Bitquery operations through Composio's Bitquery toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/bitquery
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Bitquery connection via RUBE_MANAGE_CONNECTIONS with toolkit bitquery Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit bitquery If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS queries: [{use_case: "Bitquery operations", known_fields: ""}] session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
Core Workflow Pattern
Step 1: Discover Available Tools
RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Bitquery task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["bitquery"] session_id: "your_session_id"
Step 3: Execute Tools
RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"
Known Pitfalls
Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({}) Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows Pagination: Check responses for pagination tokens and continue fetching until complete
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Bitquery-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit bitquery |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schema |
| Ref |