LLM Context
A compact, structured knowledge base that an agent can load into its context window. Covers the integration model, system responsibilities, credential rules and environment variables. Load context →
This section helps AI coding agents and developer assistants use the flinkey documentation effectively. It provides structured context, implementation recipes and machine-readable reference material.
LLM Context
A compact, structured knowledge base that an agent can load into its context window. Covers the integration model, system responsibilities, credential rules and environment variables. Load context →
Implementation Recipes
Step-by-step recipes for authentication, car lifecycle, user lifecycle, assignments, mobile access and Box Commands. Each recipe includes required inputs, expected outputs and agent rules. View recipes →
| Goal | Resource |
|---|---|
| Understand the flinkey integration model | LLM Context |
| Generate backend integration code | Implementation Recipes |
| Look up exact API operations | API Reference |
| Understand mobile SDK integration | Mobile SDK |
| Process webhook events | Webhooks |
| Load full context for external LLMs | /llms.txt |
A ready-to-use Cursor Agent Skill is available for download. It enables Cursor agents to build flinkey integrations using the recipes, credential rules and API references from this documentation.
Installation:
.cursor/skills/flinkey-integration/ (project-level) or ~/.cursor/skills/flinkey-integration/ (personal)| File | Purpose |
|---|---|
/llms.txt |
Index file for LLM crawlers — lists key pages and links to the full context |
/llms-full.txt |
Complete flinkey integration context as a single text file |
/openapi.json |
OpenAPI 3.1 specification for the flinkey API v3 |
/skills/flinkey-integration/SKILL.md |
Cursor Agent Skill for flinkey integrations |
A Model Context Protocol (MCP) server is available at mcp.witte.digital/flinkey-api. It exposes flinkey API operations as callable tools for AI coding agents and LLM-based assistants.
Configure it in your agent’s MCP settings:
{ "mcpServers": { "flinkey": { "url": "https://mcp.witte.digital/flinkey-api" } }}