What are the runtime requirements?
Python 3.10 or higher and access to an Itential Platform instance are required.
@itential
基本情報
🔌 Itential Platform MCP Server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"itential-mcp": {
"command": "uv",
"args": [
"run",
"itential-mcp",
"run"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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