Kapa MCP Server
Enables querying Kapa.ai's documentation and Q&A capabilities for any project enrolled with Kapa, with tools for asking questions and searching sources.
README
Kapa MCP Server
A Model Context Protocol (MCP) server that provides access to Kapa.ai's documentation and Q&A capabilities for any project enrolled with Kapa.
Important: Customizing for Your Project
This MCP server can be used to query any project that's enrolled with Kapa.ai, not just Kapa itself. The code uses "ACME" as a placeholder name that you should replace with your actual project name.
Before using this server, you MUST:
-
Replace all instances of "ACME" and "acme" in
src/index.tswith your project name:- Change
"ask_acme_question"to"ask_yourproject_question" - Change
"Ask a question about ACME documentation"to"Ask a question about YourProject documentation" - Change
"The question about ACME to ask"to"The question about YourProject to ask" - Similarly update the search tool names and descriptions
- Change
-
Look for the TODO comments in the code that indicate where to make these changes
This customization is crucial because LLM applications use tool names and descriptions to understand when and how to use them. Using project-specific names helps the LLM make appropriate tool calls for your documentation.
Features
- ask_acme_question: Query Kapa.ai's chat API for answers about your enrolled project (replace "acme" with your project name)
- search_acme_sources: Search through your project's documentation sources via Kapa.ai (replace "acme" with your project name)
Prerequisites
- Docker
- Kapa.ai API credentials:
KAPA_API_KEYKAPA_PROJECT_IDKAPA_INTEGRATION_ID
Running with Docker
-
Build the Docker image:
docker build -t kapa-mcp-server . -
Run the container with your API credentials:
docker run -e KAPA_API_KEY=your_api_key \ -e KAPA_PROJECT_ID=your_project_id \ -e KAPA_INTEGRATION_ID=your_integration_id \ kapa-mcp-server
Using with MCP Clients
Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"kapa": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "KAPA_API_KEY=your_api_key",
"-e", "KAPA_PROJECT_ID=your_project_id",
"-e", "KAPA_INTEGRATION_ID=your_integration_id",
"kapa-mcp-server"
]
}
}
}
Other MCP Clients
The server communicates via stdio, so it can be integrated with any MCP-compatible client by running the Docker container with the appropriate environment variables.
Development
-
Install dependencies:
npm install -
Build TypeScript:
npm run build -
Run locally:
KAPA_API_KEY=your_api_key \ KAPA_PROJECT_ID=your_project_id \ KAPA_INTEGRATION_ID=your_integration_id \ npm start
Testing
Test with MCP Inspector:
KAPA_API_KEY=your_api_key \
KAPA_PROJECT_ID=your_project_id \
KAPA_INTEGRATION_ID=your_integration_id \
npx @modelcontextprotocol/inspector dist/index.js
推荐服务器
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。
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。
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。
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。
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。
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。
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。
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。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。