MCP Think Tool Server

A Model Context Protocol (MCP) server implementing the "think" tool for improving Claude's complex reasoning capabilities.

Overview

This MCP server implements Anthropic's "think" tool, which provides Claude with a dedicated space for structured thinking during complex problem-solving tasks. As described in Anthropic's blog post, the think tool has been shown to significantly improve performance in complex tasks requiring policy adherence and reasoning in long chains of tool calls.

Key Use Cases

- Complex Tool Chains: When Claude needs to call complex tools and analyze outputs carefully
- Policy Adherence: For navigating policy-heavy environments with detailed guidelines
- Sequential Decision Making: When each step builds on previous ones and mistakes are costly
- Multi-step Analysis: Breaking down complex problems into manageable steps

Installation

``bash
npm install -g @cgize/mcp-think-tool
`

Configuration

Add this configuration to your MCP configuration file:

`json
{
"mcpServers": {
"think-tool": {
"command": "npx",
"args": [
"-y",
"@cgize/mcp-think-tool"
],
"type": "stdio",
"pollingInterval": 30000,
"startupTimeout": 30000,
"restartOnFailure": true
}
}
}
`

Configuration file location:
- C:\Users\[username]\AppData\Roaming\Claude\claude_desktop_config.json

If installed globally, you can also use:

`json
{
"mcpServers": {
"think-tool": {
"command": "claude-mcp-think-tool",
"args": [],
"type": "stdio",
"pollingInterval": 30000,
"startupTimeout": 30000,
"restartOnFailure": true
}
}
}
`

Available Tools

- think: Record structured reasoning during problem-solving
- get_thoughts: Retrieve all recorded thoughts
- clear_thoughts: Reset the thinking process
- get_thought_stats: Analyze thinking patterns

Example Prompt

`
Using the think tool, solve this multi-step problem:

A train travels at a constant speed of 60 km/h. It departs from station A at 9:00 AM and arrives at station B at 11:30 AM. What is the distance between stations A and B?
``

License

MIT