# Farm OS MCP Server

> Use this tool when you need to manage and monitor farm operations, track field and crop activities, and monitor livestock and equipment performance. It solves problems related to farm operation optimization, resource allocation, and data-driven decision making. The Farm OS MCP Server takes in sensor readings and equipment data as inputs and provides real-time monitoring and management outputs through a Model Context Protocol interface.

Canonical page: https://skillsregistry.net/skills/ramprasadchauhan-fast-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ramprasadchauhan-fast-mcp

## Description

Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b54x1c9695)
- **Repository:** <https://github.com/ramprasadchauhan/fast-mcp>

## 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": "ramprasadchauhan-fast-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramprasadchauhan-fast-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramprasadchauhan-fast-mcp/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
