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作者提供的说明(英文原文)
openITCOCKPIT monitoring: host and service state, history, downtimes, acknowledgements, patches
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
OITC_APIKEY, OITC_BASEURL, OITC_TRANSPORT, OITC_ENABLE_WRITE_TOOLS, OITC_VERIFY_TLS标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"openitcockpit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add openitcockpit --env OITC_APIKEY=your-value --env OITC_BASEURL=your-value --env OITC_TRANSPORT=your-value --env OITC_ENABLE_WRITE_TOOLS=your-value --env OITC_VERIFY_TLS=your-value -- docker run -i --rm -e OITC_APIKEY -e OITC_BASEURL -e OITC_TRANSPORT -e OITC_ENABLE_WRITE_TOOLS -e OITC_VERIFY_TLS docker.io/openitcockpit/mcp-server:0.5.0运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"openitcockpit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"openitcockpit": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
OITC_TRANSPORT envOITC_ENABLE_WRITE_TOOLS envOITC_VERIFY_TLS env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 openITCOCKPIT 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:OITC_APIKEY, OITC_BASEURL
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
An MCP server that puts an openITCOCKPIT monitoring instance in front of an LLM client: what is broken and why, what someone already handles, what changed - and, off by default, the tools that act on it.
[!CAUTION]
Use at your own risk. This server lets a language model read and - with write
tools enabled - change your monitoring configuration. A model can misunderstand a
request or pick the wrong call. Review what it proposes before you approve it, and
start with read-only access. The software is provided "as is", without warranty
or liability of any kind; see the MIT License.
cp .env.example .env # fill in the two secrets, see Configuration
docker compose up --build
Point your client at http://localhost:8000/mcp with the bearer token from your .env. Compose reads that same file for the published port, so setting OITC_PORT there moves both sides at once.
Three settings matter to start: MCP_AUTH_TOKEN (what clients present to this server), OITC_BASEURL and OITC_APIKEY (what this server presents to openITCOCKPIT). Everything else has a default - all of it.
| Ask | What answers it |
|---|---|
| "What is broken right now?" | get_problem_overview - causes separated from their consequences |
| "Why is db-01 critical?" | get_service_health, investigate_problem |
| "Is anyone on it already?" | the same tools: downtime and acknowledgement come with the state |
| "What happened during the night shift?" | get_shift_summary |
| "Why did I get no alert for web01?" | explain_notification |
| "Take web01 out until Monday" | schedule_downtime (write) |
| "Which templates could web-05 use?" | get_allowed_elements_for_container |
Every tool by name, with its parameters and what it costs in context: [docs/tools.md](docs/tools.md), generated from the code. What a result looks like and what happens when you write: [docs/using-the-tools.md](docs/using-the-tools.md).
Running a monitoring instance is not one job, so a surface small enough to be easy would be too small to be useful. Instead the server keeps every tool the work needs and a toolset hands one agent its share: around ten tools, complete for that job and nothing beyond it. A tool that was never registered cannot be called at all.
OITC_TOOLSETS=health # find things and see how they are doing
OITC_TOOLSETS=operations # acknowledge, maintenance windows, check now OITC_TOOLSETS=lifecycle # take things out of the monitoring, or delete them
The shipped sets are health, operations, lifecycle, patch, reporting, catalog, onboarding, config and provisioning. Sets are defined in a file you can replace: docs/toolsets.md.
oitc-mcp-eval asks operator questions against your instance and checks whether a model answers them from the tools instead of inventing. It keeps every run in SQLite, so models and changes stay comparable.
oitc-mcp-eval --model your-model --samples 3 # against the configured instance
oitc-mcp-eval --compare # newest run of every model ./scripts/eval-throwaway.sh --model your-model # instance created and removed for you
docs/evals.md.
| Configuration | every setting, and which secret goes where |
| Connecting a client | HTTP and stdio, with working examples |
| Installation | Docker, from source, MCP Registry |
| Tools | every tool, generated from the code |
| Working with the tools | result shapes, container scope, read-modify-write |
| Toolsets | limiting an instance, writing your own set |
| Skills and prompts | the material served alongside the tools |
| Measuring a model | the eval, its cases, and reading the results |
| Security | what this server can reach, and what it refuses |
| Architecture | how the pieces fit together |
| Tool design | the rules a new tool follows |
| openITCOCKPIT API notes | the behaviour this server works around |
| Versioning | version numbers and compatibility |
| Development | checks, tests, running from a checkout |
The server holds one openITCOCKPIT credential and never sends it to a client. Clients authenticate with their own token; in delegated mode each request carries a short-lived user token instead, and the server acts as that user with their permissions. Write tools stay unregistered until you enable them. The details, including what to give the openITCOCKPIT user: docs/security.md.
MIT.