# minimax-llm-mcp

> Use this tool when you need to integrate the MiniMax M3 LLM API with MCP-compatible clients for tasks like chat and text completions, or token counting. It solves problems of compatibility and accessibility by providing a standardized interface for clients to interact with the API via stdio or SSE transport. This enables seamless integration and efficient data exchange between clients and the MiniMax M3 LLM API.

Canonical page: https://skillsregistry.net/skills/webski101-minimax-llm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/webski101-minimax-llm-mcp

## Description

Exposes the MiniMax M3 LLM API to MCP-compatible clients, enabling chat completions, text completions, tool calls, and token counting via stdio or SSE transport.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iltm4wfa78)
- **Repository:** <https://github.com/webski101/minimax-llm-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": "webski101-minimax-llm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webski101-minimax-llm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webski101-minimax-llm-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