# MCP LLM Server

> Use this tool when you need to interact with large language models (LLMs) like Claude and Gemini, sending prompts and receiving responses through the MCP protocol. It solves problems of accessibility and integration, allowing users to leverage the capabilities of these LLMs in a unified interface. Ideal for applications requiring AI-driven text generation, conversation, or analysis, this tool accepts prompts as input and outputs relevant responses from the selected LLMs.

Canonical page: https://skillsregistry.net/skills/straygizmo-mcp-llm-cli  
JSON: https://api.skillsregistry.net/v1/skills/straygizmo-mcp-llm-cli

## Description

Enables interaction with Claude and Gemini command-line tools through the MCP protocol, allowing users to send prompts to either or both LLMs and receive responses.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v230cp4iea)
- **Repository:** <https://github.com/straygizmo/mcp_llm_cli>

## 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": "straygizmo-mcp-llm-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/straygizmo-mcp-llm-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/straygizmo-mcp-llm-cli/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