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Thinking Partner MCP Server

@nwant

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nwant

关于 Thinking Partner MCP Server

MCP server for unified AI thinking partner across Claude Desktop and Code

Thinking Partner MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "thinking-partner": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-thinking-partner"
      ]
    }
  }
}

Thinking Partner MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Thinking Partner MCP?

Thinking Partner MCP is a Model Context Protocol (MCP) server that creates a unified AI thinking partner across Claude Desktop and Claude Code. It enables seamless context sharing and conversation continuity between architectural thinking and implementation work.

How to use Thinking Partner MCP?

Install dependencies with npm install, then configure both Claude Desktop (npm run setup-desktop) and Claude Code (npm run setup-code). Start the development server with npm run dev. For multi-machine sync, set environment variables like THINKING_PARTNER_GIT_REMOTE in a .env file.

Key features of Thinking Partner MCP

  • set_focus: Set a shared work topic across both tools.
  • get_context: Retrieve relevant context for the current conversation.
  • log_design_decision: Capture architectural choices with reasoning.
  • log_implementation_finding: Record discoveries made during coding.
  • bridge_conversation: Connect conversations between Desktop and Code.
  • Automatic Git synchronization for context across multiple machines.

Use cases of Thinking Partner MCP

  • Morning design session in Claude Desktop to explore architecture and log decisions.
  • Implementation session in Claude Code that automatically pulls in design context.
  • Next-day continuity where both tools remember reasoning and open questions.
  • Cross-session pattern recognition through persistent context storage.

常见问题

1

What tools does Thinking Partner MCP provide?

It offers five tools: `set_focus`, `get_context`, `log_design_decision`, `log_implementation_finding`, and `bridge_conversation`.

2

How does context persist between sessions?

Context is stored persistently in a local JSON file (`data/context.json`), which is automatically read and written by the server.

3

Does Thinking Partner MCP support syncing across multiple machines?

Yes, by setting environment variables in a `.env` file (e.g., `THINKING_PARTNER_GIT_REMOTE`), the server can automatically pull before reading and commit/push after saving changes.

4

What are the runtime requirements?

Node.js and npm are required. The server is configured for Claude Desktop and Claude Code via the provided setup scripts.

5

How do I configure Claude Desktop and Claude Code?

Run `npm run setup-desktop` for Claude Desktop and `npm run setup-code` for Claude Code. Both scripts automatically configure the MCP server.

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