# agrictech-ai

> Use this tool when you need to provide intelligent agricultural support to users in their native languages, leveraging AI-driven responses and multilingual accessibility. It solves problems of language barriers and information accessibility for farmers, offering automated language detection, translation, and text-to-speech conversion. The agrictech-ai server accepts user queries as input and outputs context-aware AI responses in both text and voice formats.

Canonical page: https://skillsregistry.net/skills/olasupoolalekanazeez222-agrictech-ai  
JSON: https://api.skillsregistry.net/v1/skills/olasupoolalekanazeez222-agrictech-ai

## Description

This server powers an AI-driven agricultural assistant built with FastAPI. It enables farmers and agricultural users to interact in their native languages, get intelligent responses from OpenAI’s GPT models, and receive both text and voice feedback. The system automatically detects language, translates queries, generates context-aware AI answers, and converts the replies into speech for accessibility.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/olasupoolalekanazeez222/agrictech-ai)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "olasupoolalekanazeez222-agrictech-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olasupoolalekanazeez222-agrictech-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olasupoolalekanazeez222-agrictech-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt