What are the runtime requirements?
Python 3.10 or higher and access to an Itential Platform instance are required.
@itential
基本信息
🔌 Itential Platform MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"itential-mcp": {
"command": "uv",
"args": [
"run",
"itential-mcp",
"run"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP server that connects LLMs to the Itential Platform, enabling AI assistants to manage network automations, orchestrate workflows, monitor platform health, and perform advanced network operations. It is designed for platform engineers and developers.
Install via pip install itential-mcp, set platform credentials as environment variables (ITENTIAL_MCP_PLATFORM_HOST, ITENTIAL_MCP_PLATFORM_USER, ITENTIAL_MCP_PLATFORM_PASSWORD), and start the server with itential-mcp run. Optionally configure transport (stdio, SSE, HTTP), tool tags, and authentication via CLI flags or a configuration file. Docker images are also available.
--include-tags and --exclude-tagsPython 3.10 or higher and access to an Itential Platform instance are required.
Authentication can be done via basic auth (username/password) or OAuth 2.0 (client ID/client secret), configured through environment variables, CLI parameters, or a configuration file.
The server supports stdio (default), SSE, and HTTP transports. TLS encryption can be enabled for SSE and HTTP.
Yes. Use the `--include-tags` and `--exclude-tags` options to control which tool categories (out of 10) are registered.
Yes. A Docker image is available from `ghcr.io/itential/itential-mcp`, and you can also build it locally using `make container`.

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