PromptShop

Graphhopper Automation

This skill automates Graphhopper operations using the Composio Graphhopper toolkit via Rube MCP. It allows users to programmatically interact with Graphhoppe...

Install

npx promptshop add graphhopper-automation

Details

What This Skill Does

  • This skill automates Graphhopper operations using the Composio Graphhopper toolkit via Rube MCP.
  • It allows users to programmatically interact with Graphhopper for routing and navigation tasks.
  • This is useful for developers and GIS professionals.

When to Use

  • Automate route optimization tasks.
  • Integrate Graphhopper into applications.
  • Calculate distances between locations.
  • Generate travel time estimates.
  • Manage Graphhopper configurations.

Key Features

  • Uses Rube MCP for tool discovery and execution.
  • Requires an active Graphhopper connection.
  • Provides a structured workflow pattern.
  • Emphasizes schema compliance for arguments.
  • Offers tool discovery via RUBE_SEARCH_TOOLS.

Manual Installation

Graphhopper Automation via Rube MCP

Automate Graphhopper operations through Composio's Graphhopper toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/graphhopper

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Graphhopper connection via RUBE_MANAGE_CONNECTIONS with toolkit graphhopper 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 graphhopper 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: "Graphhopper 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 Graphhopper task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["graphhopper"] 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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Graphhopper-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit graphhopper
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef