N
newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP
Reason, then a second model
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"newideas99-deepseek-thinking-claude-3-5-": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}解析自我们于 2026-11-04 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"newideas99-deepseek-thinking-claude-3-5-": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio newideas99-deepseek-thinking-claude-3-5- -- npx -y @smithery/cli
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx -y @smithery/cli
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx -y @smithery/cli。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
A Model Context Protocol (MCP) server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter. This implementation uses a two-stage process where DeepSeek provides structured reasoning which is then incorporated into Claude's response generation.
## Features
Two-Stage Processing:
Uses DeepSeek R1 for initial reasoning (50k character context)
Uses Claude 3.5 Sonnet for final response (600k character context)
Both models accessed through OpenRouter's unified API
Injects DeepSeek's reasoning tokens into Claude's context
Smart Conversation Management:
Detects active conversations using file modification times
Handles multiple concurrent conversations
Filters out ended conversations automatically
Supports context clearing when needed
Optimized Parameters:
Model-specific context limits:
DeepSeek: 50,000 characters for focused reasoning
Claude: 600,000 characters for comprehensive responses
Recommended settings:
temperature: 0.7 for balanced creativity
topp: 1.0 for full probability distribution
repetitionpenalty: 1.0 to prevent repetition
## Installation
### Installing via Smithery
To install DeepSeek Thinking with Claude 3.5 Sonnet for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP --client claude
### Manual Installation
1. Clone the repository:
bash
git clone https://github.com/yourusername/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP.git
cd Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP
2. Install dependencies:
bash
npm install
3. Create a .env file with your OpenRouter API key:
env
# Required: OpenRouter API key for both DeepSeek and Claude models
OPENROUTERAPIKEY=youropenrouterapikeyhere
# Optional: Model configuration (defaults shown below)
DEEPSEEKMODEL=deepseek/deepseek-r1 # DeepSeek model for reasoning
CLAUDEMODEL=anthropic/claude-3.5-sonnet:beta # Claude model for responses
4. Build the server:
bash
npm run build
## Usage with Cline
Add to your Cline MCP settings (usually in ~/.vscode/globalStorage/saoudrizwan.claude-dev/settings/clinemcpsettings.json):
json
"mcpServers": {
"deepseek-claude": {
"command": "/path/to/node",
"args": ["/path/to/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP/build/index.js"],
"env": {
"OPENROUTERAPIKEY": "yourkeyhere"
},
"disabled": false,
"autoApprove": []
## Tool Usage
The server provides two tools for generating and monitoring responses:
### generateresponse
Main tool for generating responses with the following parameters:
typescript
"prompt": string, // Required: The question or prompt
"showReasoning"?: boolean, // Optional: Show DeepSeek's reasoning process
"clearContext"?: boolean, // Optional: Clear conversation history
"includeHistory"?: boolean // Optional: Include Cline conversation history
### checkresponsestatus
Tool for checking the status of a response generation task:
typescript
"taskId": string // Required: The task ID from generateresponse
### Response Polling
The server uses a polling mechanism to handle long-running requests:
## Features
Two-Stage Processing:
Uses DeepSeek R1 for initial reasoning (50k character context)
Uses Claude 3.5 Sonnet for final response (600k character context)
Both models accessed through OpenRouter's unified API
Injects DeepSeek's reasoning tokens into Claude's context
Smart Conversation Management:
Detects active conversations using file modification times
Handles multiple concurrent conversations
Filters out ended conversations automatically
Supports context clearing when needed
Optimized Parameters:
Model-specific context limits:
DeepSeek: 50,000 characters for focused reasoning
Claude: 600,000 characters for comprehensive responses
Recommended settings:
temperature: 0.7 for balanced creativity
topp: 1.0 for full probability distribution
repetitionpenalty: 1.0 to prevent repetition
## Installation
### Installing via Smithery
To install DeepSeek Thinking with Claude 3.5 Sonnet for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP --client claude
### Manual Installation
1. Clone the repository:
bash
git clone https://github.com/yourusername/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP.git
cd Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP
2. Install dependencies:
bash
npm install
3. Create a .env file with your OpenRouter API key:
env
# Required: OpenRouter API key for both DeepSeek and Claude models
OPENROUTERAPIKEY=youropenrouterapikeyhere
# Optional: Model configuration (defaults shown below)
DEEPSEEKMODEL=deepseek/deepseek-r1 # DeepSeek model for reasoning
CLAUDEMODEL=anthropic/claude-3.5-sonnet:beta # Claude model for responses
4. Build the server:
bash
npm run build
## Usage with Cline
Add to your Cline MCP settings (usually in ~/.vscode/globalStorage/saoudrizwan.claude-dev/settings/clinemcpsettings.json):
json
"mcpServers": {
"deepseek-claude": {
"command": "/path/to/node",
"args": ["/path/to/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP/build/index.js"],
"env": {
"OPENROUTERAPIKEY": "yourkeyhere"
},
"disabled": false,
"autoApprove": []
## Tool Usage
The server provides two tools for generating and monitoring responses:
### generateresponse
Main tool for generating responses with the following parameters:
typescript
"prompt": string, // Required: The question or prompt
"showReasoning"?: boolean, // Optional: Show DeepSeek's reasoning process
"clearContext"?: boolean, // Optional: Clear conversation history
"includeHistory"?: boolean // Optional: Include Cline conversation history
### checkresponsestatus
Tool for checking the status of a response generation task:
typescript
"taskId": string // Required: The task ID from generateresponse
### Response Polling
The server uses a polling mechanism to handle long-running requests:
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/newideas99-deepseek-thinking-claude-3-5-sonnet-cline-mcp/)
- 来源
- awesome · https://github.com/newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLIN
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