# nl-mcp-stdio-ollama-time-demo

> nl-mcp-stdio-ollama-time-demo — elliotone-nl-mcp-stdio-ollama-time-demo. Use this tool when you need to integrate server-side tools with a local language model for enhanced reasoning and response generation. It solves problems of exposing and consuming server-side tools, and feeding results into a language model for further processing. The tool takes in STDIO inputs and outputs results for use in Ollama-hosted LLMs, ideal for use cases requiring end-to-end demonstration of Model Context Protocol (MCP) in .NET.

Canonical page: https://skillsregistry.net/skills/elliotone-nl-mcp-stdio-ollama-time-demo  
JSON: https://api.skillsregistry.net/v1/skills/elliotone-nl-mcp-stdio-ollama-time-demo

## Description

An end-to-end example demonstrating how to use Model Context Protocol (MCP) over STDIO in .NET to expose server-side tools and consume them from a client, then feed tool results into a local Ollama-hosted LLM for reasoning and response generation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ElliotOne/nl-mcp-stdio-ollama-time-demo)

## 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": "elliotone-nl-mcp-stdio-ollama-time-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elliotone-nl-mcp-stdio-ollama-time-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elliotone-nl-mcp-stdio-ollama-time-demo/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
