-
securityF
license-
qualityA Model Context Protocol server utilizing Claude AI for generating intelligent queries and offering documentation assistance based on API documentation analysis.
Last updated -
4
3
mcp-服务器-python
Inkeep MCP 服务器由您的文档和产品内容提供支持。
依赖项
本地设置
git clone https://github.com/inkeep/mcp-server-python.git
cd mcp-server-python
uv venv
uv pip install -r pyproject.toml
请注意项目的完整路径，在后续步骤中称为<YOUR_INKEEP_MCP_SERVER_ABSOLUTE_PATH> 。
获取 API 密钥
导航到**“项目”**部分并选择您的项目
打开**“集成”**选项卡
单击**“创建集成”并从选项中选择API**
输入新 API 集成的名称。
点击创建
将出现一个生成的API 密钥，您可以使用它来验证 API 请求。
在后续步骤中，我们将此 API 密钥称为<YOUR_INKEEP_API_KEY> 。
添加到您的 MCP 客户端
按照本指南中的步骤设置 Claude Dekstop。
在您的claude_desktop_config.json文件中，将以下条目添加到mcpServers 。
{
"mcpServers": {
"inkeep-mcp-server": {
"command": "uv",
"args": [
"--directory",
"<YOUR_INKEEP_MCP_SERVER_ABSOLUTE_PATH>",
"run",
"-m",
"inkeep_mcp_server"
],
"env": {
"INKEEP_API_BASE_URL": "https://api.inkeep.com/v1",
"INKEEP_API_KEY": "<YOUR_INKEEP_API_KEY>",
"INKEEP_API_MODEL": "inkeep-rag",
"INKEEP_MCP_TOOL_NAME": "search-product-content",
"INKEEP_MCP_TOOL_DESCRIPTION": "Retrieves product documentation about Inkeep. The query should be framed as a conversational question about Inkeep."
}
},
}
}
您可能需要在命令字段中输入uv可执行文件的完整路径。您可以在 MacOS/Linux 上运行which uv或在 Windows 上运行where uv来获取此路径。
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
通过 Inkeep 的 API 将 Claude 连接到您的文档的服务器，实现与您的文档内容的 AI 驱动的交互。
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