# poc-mcp

> Use this tool when you need to integrate large language models (LLMs) with local file systems and external data sources, enabling them to access text files and fetch real-time weather data. It solves problems related to data sourcing and enrichment for LLMs, providing a proof-of-concept solution for MCP servers. The tool accepts file paths and location inputs, and outputs text and weather data, making it ideal for use cases requiring dynamic data retrieval and processing.

Canonical page: https://skillsregistry.net/skills/sarahotmane-poc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sarahotmane-poc-mcp

## Description

A proof-of-concept MCP server that enables LLMs to read local text files and fetch real-time weather data through external tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x0gu0k5j47)
- **Repository:** <https://github.com/SarahOtmane/POC-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": "sarahotmane-poc-mcp"
    }
  }
}
```

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