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Agentic-Ops Control Plane MCP server

online · 100% uptime
by nolll77·io.github.nolll77/agentic-ops·v0.1.14
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Autonomous and governed SRE & MLOps control plane for AI agent platforms.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

0 stars1.3k downloads/wk

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Agentic-Ops Control Plane tools

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Public scan report

scanner v0.1.10 · 2026-10-26 · same rubric, same numbers if you re-run it

1 medium
  • Code scan94 source files scanned20/25
  • Live reliabilityremote reachable in 251ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (unknown)9/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    agentic_ops-0.1.14/agentic_ops/core/idempotency.py: …"" try: result = redis.eval(lua_script, 1, lock_key, owner_id) …
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentic-Ops Control Plane compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
378 ms
faster than 37% of 2,331 AI and agents servers
Downloads a week
1,338
more than 95% of 1,538 AI and agents servers with a package

Install Agentic-Ops Control Plane in Claude Code, Cursor or VS Code

claude mcp add --transport http agentic-ops https://agentic-ops-5ebv.onrender.com/mcp
Add to Cursor

What the publisher says

From the Agentic-Ops Control Plane repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.nolll77/agentic-ops -->

Agentic-Ops Control Plane

-059669)

Language / Langue : English (Main Documentation) | Lire la documentation complète en Français (READMEFR.md)**

Official Anthropic Model Context Protocol Registry: io.github.nolll77/agentic-ops (v0.1.12 Active) | Glama MCP Catalog: glama.ai/mcp/servers/nolll77/agentic-ops

mcp-name: io.github.nolll77/agentic-ops

Agentic-Ops is a personal MLOps control-plane project for exploring how AI agents (LLMs) can help investigate operational signals such as Data Drift, Model Staleness, and OOMKilled Pods.

Unlike frameworks that prioritize agent autonomy, it explores SRE-inspired controls: deterministic policies, observability, fail-closed authorization, asynchronous human review, and cryptographic auditability. These features are engineering work in progress, not a claim of production qualification or EU AI Act compliance.

Current release and honest qualification status

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Agentic-Ops Control Plane: common questions

Is Agentic-Ops Control Plane MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Agentic-Ops Control Plane safety report
How do I install Agentic-Ops Control Plane?
It runs remotely at agentic-ops-5ebv.onrender.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Agentic-Ops Control Plane need an API key?
Yes. The endpoint refuses requests without credentials; the publisher's docs say how to get them.
Is Agentic-Ops Control Plane maintained?
The last commit was 14 days ago (2026-10-21). The latest release is v0.1.14.
Is Agentic-Ops Control Plane up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Agentic-Ops Control Plane?
Servers from other publishers that do the same job: DCC-MCP Core MCP server, agent-device MCP server and agent-device MCP server.
How does Agentic-Ops Control Plane compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 378 ms (faster than 37% of 2,331 AI and agents servers). Full comparison.

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