datahub-cm-mcp
Read-only MCP server for querying Cloudera Manager metrics (CPU, memory, disk, health) for CDP Public Cloud DataHubs via natural language, using workload credentials and Knox.
README
datahub-cm-mcp
Read-only Cloudera Manager metrics for a CDP Public Cloud DataHub, over Knox.
Sibling to cdp-pc in this suite — a separate process with its own auth plane
(the suite's design rule). Where cdp-pc is the control plane (list/describe via
the cdp CLI + ~/.cdp API key), this is the data plane: each DataHub's own
Cloudera Manager, read via cdp-proxy-api/cm-api with workload user + password.
Why this exists: in CDP Public Cloud every DataHub runs its own Cloudera Manager, reachable through Knox. So "CM = private-cloud only" is not true for PC. This MCP turns the infra team's manual
top/free/dfround into natural-language questions.
Tools (all read-only, GET only)
| Tool | Answers | CM source |
|---|---|---|
datahub_host_status(cluster_name) |
per-host cores, RAM, health, roles | /hosts?view=full |
datahub_resource_usage(cluster_name, hours=1) |
per-host CPU% + memory% (latest) — the top/free replacement |
/timeseries cpu_percent, physical_memory_used/total |
datahub_disk_usage(cluster_name) |
per-filesystem capacity/used/% — the df replacement |
/timeseries … WHERE category=FILESYSTEM |
datahub_metric_timeseries(cluster_name, metric, hours=3) |
per-host trend for one whitelisted metric (spikes) | /timeseries SELECT <metric> |
cluster_name comes from cdp-pc's list_datahubs. The CM endpoint is auto-discovered
from describe-cluster (no registry table).
Auth (how credentials are given)
- Discovery (control plane):
cdp datahub describe-cluster→ reads theCM-APIendpoint URL. Reuses~/.cdp/credentials. - CM REST (data plane): HTTP Basic over Knox = CDP workload username + workload password
(Knox mode
PAM). Username:CDP_WORKLOAD_USERenv, elsecdp iam get-userworkloadUsername, else$USER. Password:CM_PASSWORD/CDP_WORKLOAD_PASSWORDenv, else macOS Keychain (account=zzeng,service=cdp-workload-impala). No password is stored on disk. - TLS verified by default;
CM_INSECURE=trueto skip (corp MITM).
Setup
cd tools/datahub-cm-mcp
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt # minimcp + mcp<2
# workload password already in Keychain? (shared with Impala)
security find-generic-password -a zzeng -s cdp-workload-impala -w >/dev/null && echo "pw ok"
Register into Claude (from the suite): tools/cdp-pc-mcp/register-all.sh already lists
datahub-cm. Or manually:
claude mcp add datahub-cm -e "PYTHONPATH=$PWD/src" -- "$PWD/.venv/bin/python" -m datahub_cm_mcp.stdio_main
Smoke test (no Claude)
export PATH="$HOME/.local/bin:$PATH" # cdp CLI
PYTHONPATH=src .venv/bin/python -c "
from datahub_cm_mcp import cm
import json; print(json.dumps(cm.resource_usage('zzengaws732-dm'), indent=2, ensure_ascii=False))"
Expected: per-host cpu_pct / mem_pct from live Cloudera Manager.
Demo talk track (JP, copy-paste): demo-scenario-jp.md.
Notes / limits
- Prereq: the DataHub (and its environment) must be AVAILABLE. Stopped → discovery errors clearly (no CM-API endpoint).
- The CM
/clusterslist can be empty through the PC Knox proxy; all tools here work at host level, which is what infra monitoring needs. - Read-only: no config-change / command tools. Adding those would need a deliberate, separately-scoped write plane.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。