# ThinkGate

> ThinkGate — tjp2021-mcp-thinkgate. Use this tool when you need to optimize reasoning efficiency by automatically selecting the appropriate effort level for message analysis. ThinkGate classifies message complexity to determine the required level of reasoning, streamlining the process and improving outcomes. It takes in messages as input and outputs the recommended effort level, such as fast, think, or ultrathink, for effective decision-making.

Canonical page: https://skillsregistry.net/skills/tjp2021-mcp-thinkgate  
JSON: https://api.skillsregistry.net/v1/skills/tjp2021-mcp-thinkgate

## Description

Classifies message complexity to automatically select the appropriate Claude effort level (fast, think, ultrathink) for efficient reasoning.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zitxx6jq2j)
- **Repository:** <https://github.com/tjp2021/mcp-thinkgate>

## 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": "tjp2021-mcp-thinkgate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tjp2021-mcp-thinkgate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tjp2021-mcp-thinkgate/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