What are the requirements to run the server?
Node.js version 16 or higher, npm, and an MCP-compatible platform such as Cursor or Claude Desktop.
@abhinav-mangla
Basic information
MCP Think Tool Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"think-tool-mcp": {
"command": "npx",
"args": [
"-y",
"think-tool-mcp"
]
}
}
}Use this tool to think about something. It will not obtain new information or change anything. Use it when complex reasoning is needed. Args: thought: A thought to think about. This can be structured reasoning, step-by-step analysis, policy verification, or any other mental process that helps with problem-solving.
The MCP Think Tool Server is a Model Context Protocol (MCP) server that implements a "think" tool for Large Language Models (LLMs). Based on Anthropic's research, it gives LLMs a dedicated space for structured thinking during complex reasoning tasks, improving performance on policy adherence, multi-step analysis, and decision-making. It works with any LLM supporting MCP, such as Claude and GPT-4.
Install and run with npx -y think-tool-mcp. For Cursor IDE (v0.45.6+), add a new MCP server in Settings → Features with the command npx -y think-tool-mcp. For Claude Desktop, add the entry to claude_desktop_config.json. The server registers a single tool called think that takes a thought (string) parameter; the LLM invokes it automatically when needed.
Node.js version 16 or higher, npm, and an MCP-compatible platform such as Cursor or Claude Desktop.
Open Cursor Settings → Features → MCP Servers, click "+ Add New MCP Server", set Name to `think-tool-mcp`, Type to `command`, and Command to `npx -y think-tool-mcp`. Save and restart Cursor.
The think tool provides a space for the LLM to record structured thoughts, reasoning, or analysis. It does not retrieve information or make changes—it purely aids the model’s internal reasoning process.
Yes. On τ-Bench airline domain, the think tool with an optimized prompt achieved a 54% relative improvement in pass^1 metric (0.584 vs baseline 0.332). On the retail domain it improved by 3.7%. On SWE-Bench, the think tool contributed to a 64.9% score (vs 62.3% baseline).
Ensure Node.js 16+ is installed, verify the command path in your MCP configuration, and check for port conflicts. If the tool does not appear in your AI platform, restart the platform and confirm the server is running.
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