datadops vs Endpoint AIops
datadops is a plugin bundle for AI coding tools published by ahmidbbc. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). Endpoint AIops is an MCP server published by AIops-tools. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-12. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Endpoint AIops | |
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.10.3 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | datadops | Endpoint AIops |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) | 0 | 0 |
| Forks (GitHub) | 0 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Remote server (mcp.datadoghq.com/api/unstable/mcp-server/mcp) | On your machine (endpoint-aiops) |
| Transport (differs) | Streamable HTTP | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 5 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/ahmidbbc/datadops | github.com/aiops-tools/endpoint-aiops |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | not checked yet | no remote endpoint we check |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
datadops
DatadOps is an Intelligent advanced Datadog workflows for Claude Code . It transforms raw monitoring data into actionable insights through intelligent DatadOps automation. This is a lightweight wrapper plugin that adds intelligent workflows on top of the official Datadog MCP server. While the official server provides access to raw Datadog data, this plugin orchestrates that data into complete operational workflows. - Service Health Dashboards - Incident Response Automation - Performance Investigation - Deployment Validation
Endpoint AIops
Governed managed-endpoint ops — login-storm & drift analysis, 13 MCP tools with audit/budget/undo.
How to run each
datadops
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Endpoint AIops As a local MCP server: PyPI package
claude mcp add --transport stdio endpoint-aiops -- uvx endpoint-aiopsCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: datadops · What it can do: Endpoint AIops · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.