MCP Think Tool Server
MCP 思考工具服务器
模型上下文协议 (MCP) 服务器实现了“思考”工具,用于提高 Claude 的复杂推理能力。
概述
该 MCP 服务器实现了 Anthropic博客文章中描述的“思考”工具,该工具为 Claude 提供了一个专用的空间,用于在复杂的问题解决任务中进行结构化思考。事实证明,在需要遵循策略并在长链工具调用中进行推理的复杂任务中,该思考工具能够显著提升性能。
Related MCP server: MCP Advanced Reasoning Server
特征
结构化思维空间:为克劳德提供一个专门的空间来分解复杂的问题
安装
使用 npx 运行
npx -y think-tool-mcp手动安装
npm install -g think-tool-mcp在光标上运行
配置 Cursor 🖥️ 注意:需要 Cursor 版本 0.45.6+
要在 Cursor 中配置 Think Tool MCP:
打开游标设置
前往“功能”>“MCP 服务器”
点击“+ 添加新的 MCP 服务器”
输入以下内容:
名称:“think-tool-mcp”(或您喜欢的名称)
类型:“命令”
命令:
npx -y think-tool-mcp
Available Tools
1 toolthinkA
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.| Name | Required | Description | Default |
|---|---|---|---|
| thought | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states 'It will not obtain new information or change anything', which effectively communicates read-only, non-destructive behavior. It also implies the tool is for internal reasoning processes. While it doesn't cover rate limits or detailed operational constraints, it provides sufficient behavioral context for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized with two main sentences followed by parameter documentation. The first sentence states the purpose, the second provides usage guidance, and the Args section adds necessary parameter context. There's minimal waste, though the formatting with indentation could be slightly cleaner.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's conceptual nature (thinking/analysis), no output schema, and no annotations, the description provides adequate context about what the tool does and when to use it. However, it doesn't explain what the tool actually produces (e.g., structured output, internal state change) or how the 'thinking' manifests operationally, leaving some gaps in completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, so the description must compensate. It provides a detailed explanation of the 'thought' parameter, describing it as 'structured reasoning, step-by-step analysis, policy verification, or any other mental process that helps with problem-solving'. This adds substantial meaning beyond the bare schema, though it doesn't specify format constraints or examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool is for 'thinking about something' and mentions 'complex reasoning', which provides a general purpose. However, it's vague about what 'thinking' entails operationally and doesn't distinguish from siblings (though none exist). It avoids tautology by adding context about reasoning, but lacks specificity about the verb+resource combination.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states 'Use it when complex reasoning is needed', providing clear context for when to invoke the tool. It also mentions 'It will not obtain new information or change anything', which helps exclude alternative use cases. However, with no sibling tools, there's no need for differentiation, so it can't score a 5 for explicit alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
think
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'think' has a clearly defined and distinct purpose for reasoning without external actions.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name 'think' is straightforward and follows a simple verb pattern.
One tool is too few for most server purposes, as it severely limits functionality and scope. This feels thin and incomplete, even for a specialized server like 'MCP Think Tool Server', which might benefit from additional reasoning or analysis tools.
The server is severely incomplete; a single 'think' tool does not provide a coherent surface for any meaningful domain. There are significant gaps, as it lacks any tools for input, output, or interaction beyond internal reasoning, making it impractical for most agent workflows.
Maintenance
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