# TFLite Micro Exporter MCP

> TFLite Micro Exporter MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-10-16).

Exports and converts machine learning models to TensorFlow Lite Micro format for embedded and microcontroller deployment

## Facts

- Endpoint: POST https://api.m2mcent.com/tflite-micro-exporter-mcp/api/process?utm_source=zero.xyz
- Price: $0.3/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tflite-micro-exporter-mcp-7dd0322a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hzdiGJMRo18-FwUbPkANK

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tflite-micro-exporter-mcp-7dd0322a -d '<json body>'
```

Example prompt: Can you convert my TensorFlow model to TFLite Micro format so I can deploy it on a microcontroller? Here's my model data.

## When to prefer this

Use this endpoint when you need to convert or export a TensorFlow or Keras model specifically to TFLite Micro format for deployment on microcontrollers or embedded devices with very limited memory and compute resources. Prefer this over generic TFLite converters when targeting MCU-class hardware like Arduino, ESP32, or STM32.

## Known failure modes

- Invalid or malformed model data in the input string
- Model too large to fit within TFLite Micro constraints
- Unsupported model operations not compatible with TFLite Micro runtime
- Missing or incomplete model architecture data
- Payment failure or x402 authorization error

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## Output

A TFLite Micro compatible exported model, likely as a binary or C array representation, ready to be flashed or compiled into an embedded system application.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tflite-micro-exporter-mcp-7dd0322a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)