Agentql Automation via Rube MCP
SkillSearchThis skill lets your AI extract structured data from web pages by running AgentQL queries through a connected automation service. Once added, your AI can automate AgentQL tasks and pull the specific details you need from a page on request. The result is organized, ready-to-use data instead of raw page content.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, make sure it is connected to your automation service and check the available tools for the latest query formats. Then ask your AI to pull the data you need from a web page with an AgentQL query.
Then ask your AI: use the Agentql Automation via Rube MCP skill
What your AI can do with it
- Extract structured data from web pages
- Run AgentQL queries against a page to pull the details you ask for
- Turn web page content into organized data you can work with
- Automate AgentQL tasks so each query does not need to be run by hand
- Check the available tools for the latest query formats before running a task
What this skill tells your AI
The instructions your AI receives, as published by composio-community/awesome-codex-skills in composio-skills/agentql-automation/SKILL.md and read by ahel’s review.
Automate Agentql operations through Composio's Agentql toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/agentql
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Agentql connection via
RUBE_MANAGE_CONNECTIONSwith toolkitagentql - Always call
RUBE_SEARCH_TOOLSfirst 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_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitagentql - 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: "Agentql 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 Agentql task"}]
session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS
toolkits: ["agentql"]
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_CONNECTIONSshows ACTIVE status before executing tools - Schema compliance: Use exact field names and types from the search results
- Memory parameter: Always include
memoryinRUBE_MULTI_EXECUTE_TOOLcalls, 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 Agentql-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit agentql |
| 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 schemaRef |
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Signals
- GitHub stars
- 16k
- Forks
- 2k
- Last commit
- Jul 2026
Others that do the same job
Advanced
- Catalog kind
- skill
- Gateway key
agentql-automation- Source
- github.com/composio-community/awesome-codex-skills