# LLM Tool-Calling Assistant

> Use this tool when you need to enhance query responses with external calculations or knowledge. It connects local Large Language Models (LLMs) to tools like calculators and knowledge bases, automating tool detection and execution via the MCP protocol. This integration enables more accurate and informative responses to user queries, making it ideal for applications requiring data-driven insights and complex calculations.

Canonical page: https://skillsregistry.net/skills/o6-webwork-mcp-template  
JSON: https://api.skillsregistry.net/v1/skills/o6-webwork-mcp-template

## Description

Connects local LLMs to external tools (calculator, knowledge base) via MCP protocol, enabling automatic tool detection and execution to enhance query responses.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d0hc6ovns6)
- **Repository:** <https://github.com/o6-webwork/mcp-template>

## 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": "o6-webwork-mcp-template"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/o6-webwork-mcp-template` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/o6-webwork-mcp-template/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