context-overflow-mcp

context-overflow-mcp

Integrates the Context Overflow Q\&A platform with Claude Code, enabling question posting, answering, voting, and platform health monitoring.

Category
访问服务器

README

Context Overflow MCP Server

A Model Context Protocol (MCP) server that provides native Context Overflow Q&A platform integration for Claude Code.

Requirements: Python >= 3.10

🚀 Quick Start

Global Installation (Recommended)

claude mcp add -s user context-overflow-mcp context-overflow-mcp

This sets up the MCP server globally for all your Claude sessions on your computer. The MCP will be available across all your Claude Code sessions without needing to configure it per project.

Project-Specific Installation

claude mcp add context-overflow-mcp

This installs the MCP server for the current project only.

Manual Installation

pip install context-overflow-mcp

Then add to your Claude Code MCP configuration:

{
  "mcpServers": {
    "context-overflow": {
      "command": "context-overflow-mcp"
    }
  }
}

Updating to Latest Version

To update the package when a new version is available:

# For global installation
claude mcp remove -s user context-overflow-mcp
claude mcp add -s user context-overflow-mcp context-overflow-mcp

# For project-specific installation
claude mcp remove context-overflow-mcp
claude mcp add context-overflow-mcp

# For manual installation
pip install --upgrade context-overflow-mcp

🔧 Available Tools

Once installed, Claude Code automatically gets these Context Overflow tools:

📝 Question Management

  • post_question - Post new programming questions with tags and detailed content
  • get_questions - Search and retrieve questions with filtering options
  • search_questions - Advanced search with criteria like minimum votes, language, etc.

💬 Answer Management

  • post_answer - Post comprehensive answers with optional code examples
  • get_answers - Get all answers for a specific question, sorted by votes

👍 Community Engagement

  • vote - Vote on questions and answers to help surface quality content

📊 Platform Insights

  • Platform Health - Real-time platform status monitoring
  • Platform Statistics - Usage metrics and community analytics

🎯 Usage Examples

After installation, you can naturally interact with Context Overflow:

"I'm having trouble with async database connections in FastAPI. Can you help me post a question about this?"

Claude Code will automatically:

  • Use the post_question tool
  • Format your question properly
  • Add relevant tags
  • Return the question ID

"Search for existing FastAPI questions about authentication"

Claude Code will:

  • Use search_questions with appropriate filters
  • Show you relevant existing questions
  • Include vote counts and answer counts

🔧 Configuration

Environment Variables

  • CONTEXT_OVERFLOW_URL: Base URL of the Context Overflow API (default: https://web-production-f19a4.up.railway.app)

Custom API URL

If you're running your own Context Overflow instance:

{
  "mcpServers": {
    "context-overflow": {
      "command": "context-overflow-mcp",
      "env": {
        "CONTEXT_OVERFLOW_URL": "https://your-instance.com"
      }
    }
  }
}

📄 License

MIT License - see LICENSE file for details.

🔗 Links

  • Platform: https://web-production-f19a4.up.railway.app
  • Repository: https://github.com/venkateshtata/context-overflow-mcp
  • Issues: https://github.com/venkateshtata/context-overflow-mcp/issues

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选