flespi IoT and telematics cloud platform — REST API, MQTT broker, device management, and analytics reference for AI coding assistants
AI agent skills for the flespi IoT and telematics cloud platform. Provides comprehensive reference for the flespi REST API, MQTT broker, device management, and analytics.
/plugin marketplace add flespi-software/skills
/plugin install flespi@flespi-software-skills
Then use the skill:
/flespi:flespi how do I get device messages?
Add to your .vscode/mcp.json:
{
"inputs": [
{
"id": "flespiToken",
"type": "promptString",
"description": "Flespi Token",
"password": true
}
],
"servers": {
"flespi-develop": {
"type": "http",
"url": "https://flespi.io/ai/mcp/develop",
"headers": {
"Authorization": "FlespiToken ${input:flespiToken}"
}
}
}
}
For knowledge context, also copy .github/copilot-instructions.md to your project's .github/ directory.
Add to your .cursor/mcp.json:
{
"mcpServers": {
"flespi-develop": {
"url": "https://flespi.io/ai/mcp/develop",
"headers": {
"Authorization": "FlespiToken ${FLESPI_TOKEN}"
}
}
}
}
For knowledge context, also copy .cursorrules to your project root.
Add to your .windsurf/mcp.json:
{
"mcpServers": {
"flespi-develop": {
"serverUrl": "https://flespi.io/ai/mcp/develop",
"headers": {
"Authorization": "FlespiToken ${FLESPI_TOKEN}"
}
}
}
}
For knowledge context, also copy .windsurfrules to your project root.
Copy AGENTS.md to your project root, or add to your opencode.json:
{
"instructions": ["path/to/skills/flespi/SKILL.md"]
}
Copy skills/flespi/SKILL.md into your agent's context or instructions file. The content is plain Markdown and works with any LLM-based coding assistant.
MIT
External network access
Connects to servers outside your machine
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