连接能力
mcp-server-python 为 AI Agent 提供什么
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MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
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git clone https://github.com/inkeep/mcp-server-python.git
cd mcp-server-python
uv venv
uv pip install -r pyproject.toml
Note the full path of the project, referred to as <YOUR_INKEEP_MCP_SERVER_ABSOLUTE_PATH> in a later step.
- Log in to the Inkeep Dashboard
- Navigate to the Projects section and select your project
- Open the Integrations tab
- Click Create Integration and choose API from the options
- Enter a Name for your new API integration.
- Click on Create
- A generated API key will appear that you can use to authenticate API requests.
We'll refer to this API key as the <YOUR_INKEEP_API_KEY> in later steps.
Follow the steps in this guide to setup Claude Dekstop.
In your claude_desktop_config.json file, add the following entry to 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."
}
},
}
}You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows.
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