{
  "workflow": {
    "id": 5540,
    "name": "Query bicycle incident data with BikeWise API through MCP server",
    "views": 221,
    "recentViews": 0,
    "totalViews": 221,
    "createdAt": "2025-07-01T21:28:34.770Z",
    "description": "Complete MCP server exposing 4 BikeWise API v2 API operations to AI agents.\n\n## ⚡ Quick Setup\nNeed help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?\n\n[Join the community](https://www.skool.com/n8n-nodes-automation-lab-1570/about)\n\n1. **Import** this workflow into your n8n instance\n2. **Credentials** Add BikeWise API v2 credentials\n3. **Activate** the workflow to start your MCP server\n4. **Copy** the webhook URL from the MCP trigger node\n5. **Connect** AI agents using the MCP URL\n\n## 🔧 How it Works\n\nThis workflow converts the BikeWise API v2 API into an MCP-compatible interface for AI agents.\n\n• **MCP Trigger**: Serves as your server endpoint for AI agent requests\n• **HTTP Request Nodes**: Handle API calls to https://bikewise.org/api\n• **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders\n• **Native Integration**: Returns responses directly to the AI agent\n\n## 📋 Available Operations (4 total)\n\n### 🔧 V2 (4 endpoints)\n\n• **GET /v2/incidents**: Paginated incidents matching parameters\n• **GET /v2/incidents/{id}**: GET /v2/incidents/{id}\n• **GET /v2/locations**: Unpaginated geojson response\n• **GET /v2/locations/markers**: Unpaginated geojson response with simplestyled markers\n\n## 🤖 AI Integration\n\n**Parameter Handling**: AI agents automatically provide values for:\n• Path parameters and identifiers\n• Query parameters and filters\n• Request body data\n• Headers and authentication\n\n**Response Format**: Native BikeWise API v2 API responses with full data structure\n\n**Error Handling**: Built-in n8n HTTP request error management\n\n## 💡 Usage Examples\n\nConnect this MCP server to any AI agent or workflow:\n\n• **Claude Desktop**: Add MCP server URL to configuration\n• **Cursor**: Add MCP server SSE URL to configuration\n• **Custom AI Apps**: Use MCP URL as tool endpoint\n• **API Integration**: Direct HTTP calls to MCP endpoints\n\n## ✨ Benefits\n\n• **Zero Setup**: No parameter mapping or configuration needed\n• **AI-Ready**: Built-in `$fromAI()` expressions for all parameters\n• **Production Ready**: Native n8n HTTP request handling and logging\n• **Extensible**: Easily modify or add custom logic\n\n> 🆓 **[Free for community use](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.",
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      "name": "BikeWise API v2 MCP Server",
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            "content": "### ⚙️ Setup Instructions\n\n1. **Import Workflow**: \nLoad this workflow into your n8n instance\n\n2. **Authentication**: \nNo authentication required\n\n3. **Activate Workflow**:\nEnable the workflow to start the MCP server\n\n4. **Get MCP URL**: \nCopy the webhook URL from the MCP trigger\n\n5. **Connect AI Agent**:\nUse the MCP URL in your AI agent configuration\n\n\n### 💡 Usage Notes\n• Parameters are auto-populated by AI using $fromAI() expressions\n• With 4 API endpoints available as tools\n• Responses maintain original API structure\n\n\n### 🛠️ Customization\n• Add data transformation nodes if needed\n• Implement custom error handling\n• Add logging or monitoring nodes\n\n• Modify parameter defaults in any HTTP request node as needed\n\n### 💬 Need Help?\nPing me on [discord](https://discord.me/cfomodz) for integration guidance and custom automations. Check the [n8n documentation](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp/) for more information."
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            "content": "## 🛠️ BikeWise API v2 MCP Server ✅ 4 operations\n\n### About\nThis is an API for accessing information about bicycling related incidents. You can find the source code on GitHub.\n\n### 🔧 How it Works\n\nThis workflow converts the BikeWise API v2 API into an MCP-compatible interface for AI agents.\n\n• **MCP Trigger**: Serves as your server endpoint for AI agent requests\n• **HTTP Request Nodes**: Handle API calls to https://bikewise.org/api\n• **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders\n• **Native Integration**: Returns responses directly to the AI agent\n\n\n### 📋 Available Operations (4 endpoints)\n\n**Incidents (2 operations)**\npaginated, get incident\n\n**Locations (2 operations)**\nunpaginated\n\n"
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            "content": "## Incidents"
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            "toolDescription": "GET--version-incidents--id---format-\n\nParameters:\n- Path parameters:\n  • id (required) - Incident ID"
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          "name": "Description - incidents",
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            "content": "## 📋 Incidents\n\nIncidents matching parameters"
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          "parameters": {
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            "content": "## Locations"
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            "authentication": "genericCredentialType",
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                  "value": "={{ $fromAI('occurred_before', 'End of period', 'number') }}"
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                  "value": "={{ $fromAI('occurred_after', 'Start of period', 'number') }}"
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                },
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                  "value": "={{ $fromAI('limit', 'Max number of results to return. Defaults to 100', 'number') }}"
                },
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                  "value": "={{ $fromAI('all', 'Give âem all to me. Will ignore limit', 'boolean') }}"
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            "toolDescription": "Unpaginated geojson response\n\nParameters:\n- Query parameters:\n  • occurred_before (optional) - End of period\n  • occurred_after (optional) - Start of period\n  • incident_type (optional) - Only incidents of specific type\n  • proximity (optional) - Center of location for proximity search\n  • proximity_square (optional) - Size of the proximity search\n  • query (optional) - Full text search of incidents\n  • limit (optional) - Max number of results to return. Defaults to 100\n  • all (optional) - Give âem all to me. Will ignore limit"
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                },
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            "content": "## 📋 Locations\n\nGeoJSON response for matching incidents"
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