Agentic-Ops Control Plane

Name: Agentic-Ops Control Plane
Author: nolll77

by nolll77version 0.2.0i★ 0iComputer or cloud

Registry nameio.github.nolll77/agentic-ops

How to install

What it does

Autonomous and governed SRE & MLOps control plane for AI agent platforms.

Connects Computer or cloud
Account or key Cloud: May need a key; not confirmed (our check was refused) · Local: No key needed
Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/5 checks · What you ask goes through the maker’s server (agentic-ops-5ebv.onrender.com) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

Open Claude’s Connectors page
CustomizeConnectors
Done
Click “Add” → “Custom” → “Web” and fill in these 2 fields
Copy each value into the field with the same name in Claude, then click Continue
Name · NameAgentic-Ops Control Plane
Remote MCP server URL · Addresshttps://agentic-ops-5ebv.onrender.com/mcp
Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
Done
Turn it on in a chat
+ConnectorsAgentic-Ops Control Plane
Done
Try it
Use Agentic-Ops Control Plane and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Agentic-Ops Control Plane or shows a Agentic-Ops Control Plane tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only

Open ChatGPT’s add-MCP page on the web
Plugins+Add custom MCP server
Done
Fill in the name and address
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Name · NameAgentic-Ops Control Plane
Connection · Addresshttps://agentic-ops-5ebv.onrender.com/mcp
Done
Pick Agentic-Ops Control Plane in a chat
Start a new chat and pick Agentic-Ops Control Plane from your plugins before typing
Done
Try it
Use Agentic-Ops Control Plane and tell me what you can do for me, then show me one thing
✓ If ChatGPT says it is using Agentic-Ops Control Plane or shows a Agentic-Ops Control Plane tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add --transport http --scope user agentic-ops https://agentic-ops-5ebv.onrender.com/mcp

Done

Type /mcp in Claude Code
You should see Agentic-Ops Control Plane listed as connected
Done
Try it
Use Agentic-Ops Control Plane and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Agentic-Ops Control Plane or shows a Agentic-Ops Control Plane tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Agentic-Ops Control Plane and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Agentic-Ops Control Plane or shows a Agentic-Ops Control Plane tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Agentic-Ops Control Plane and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Agentic-Ops Control Plane or shows a Agentic-Ops Control Plane tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://agentic-ops-5ebv.onrender.com/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use Agentic-Ops Control Plane💬 Discussion →

For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http --scope user agentic-ops https://agentic-ops-5ebv.onrender.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "agentic-ops": {
      "url": "https://agentic-ops-5ebv.onrender.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "agentic-ops": {
      "type": "http",
      "url": "https://agentic-ops-5ebv.onrender.com/mcp"
    }
  }
}

Installed on your computer

Claude Code

claude mcp add --scope user agentic-ops -- uvx agentic-ops

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "agentic-ops": {
      "command": "uvx",
      "args": [
        "agentic-ops"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "agentic-ops": {
      "command": "uvx",
      "args": [
        "agentic-ops"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "agentic-ops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agentic-ops"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 0
Downloads per weeki: 154/wk
Licence i: MIT
Connection: Computer or cloud
Transport: stdio, streamable-http
Latest versioni: 0.2.0
Categoryi: Other
Published to registryi: Nov 7, 2026
Code last changedi: Nov 7, 2026
Maker: nolll77
Packages: pypi: agentic-ops
Repo: nolll77/agentic-ops
Website: agentic-ops-5ebv.onrender.com
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

Claude ChatGPT Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Open WebUI Raycast

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account nolll77, which owns the repo
✓ Pass
Still maintained
Code last changed 7 days ago
✓ Pass
Has a licence
Uses MIT
! Caution
Endpoint responds
Refused access (HTTP 401) without offering OAuth sign-in. It may need a key, or it may be blocking bots; not confirmed.
! Caution
Sign-in with OAuth
Needs a key or token that you copy and paste yourself
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Otheri

More stars than 0% of the other 19789 servers in this category
Published to the registry more recently than 85% of the other 19789 servers in this category
Basic checks equal to or better than 11% of the other 19789 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentic-Ops Control Plane safe?

It passed 3 of 5 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed 7 days ago, and the latest version (0.2.0) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by koala73Widely used★ 90.6KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

How to connect

Claude Flow

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by ruvnetWidely used↓ 13.5K/wk★ 81.7KUpdated 14 months ago

Runs on your computer

Install

Windmill

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by windmill-labsWidely used★ 18.6KUpdated 2 days ago

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How to connect

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agentic-Ops Control Plane

Language / Langue : English (Main Documentation) | [Lire la documentation complète en Français (README_FR.md)](README_FR.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

The Python package is distributed on PyPI; multi-architecture container images (linux/amd64, linux/arm64) are distributed on GHCR (ghcr.io/nolll77/agentic-ops) and Docker Hub (nolll78/agentic-ops).
A local Docker/kind exercise validated an alert webhook through the worker to a simulated investigation episode, and confirmed that its state survived a pod restart on the same PVC. This is local single-node evidence, not a backup-restore or cluster-loss test.
Release automation tests and version-checks a GitHub release, publishes Python distributions to PyPI, then builds and publishes the matching AMD64/ARM64 container to both GHCR and Docker Hub. See docs/CONTAINER_IMAGE_PUBLICATION.md.
Release v0.1.4 adds a fail-closed local inventory, SQLite backup/restore commands, and a synthetic load/crash-recovery benchmark. These tools do not themselves qualify a production deployment.
Release v0.1.5 improves protected console/LLM-probe authentication UX. Render must still have a private ADMIN_API_KEY configured for these protected actions.
Release v0.1.6 adds verified multi-database/evidence backup sets, a simulation-only approval continuation on the original episode, expanded worker crash and inventory lifecycle tests, and a size-matrix benchmark. It does not certify an off-host restore or enable live actions.
Production qualification is not claimed. Entra/SCIM, multi-node HA, deployment-target backup restoration, recovery objectives, synchronization of local inventory with a live source, and action-by-action live execution remain unqualified.
The detailed repository-to-production mapping, missing target-specific values, owners, validation evidence, and promotion gates are documented in docs/INDUSTRIAL_PRODUCTION_BLUEPRINT.md.
Render console/chat probe setup and the exact ADMIN_API_KEY prerequisite are documented in docs/RENDER_CONSOLE_CHAT_TROUBLESHOOTING.md.
A solo, single-node observation/simulation profile does not require an Entra tenant. Its scope and remaining self-operated qualification work are in docs/SELF_HOSTED_PRODUCTION_PATH.md. This is distinct from enterprise SSO, HA and independent audit anchoring.

For implemented behavior versus open production gates, see docs/INDUSTRIAL_IMPLEMENTATION_STATUS.md and docs/PRODUCTION_READINESS_ROADMAP_AND_GAPS.md.

Project Origin: Extracted from `nolll77/car_accident` into an MLOps Control Plane

Originally, Agentic-Ops was developed as an SRE governance and self-healing component inside the road-safety MLOps platform [`nolll77/car_accident`](https://github.com/nolll77/car_accident) (BAAC data warehouse, Feast feature store, MLflow, and FastAPI inference).

It was extracted into this standalone repository to explore a reusable MLOps control plane:

Zero Domain Coupling: All dataset-specific logic (car_accident) was removed in favor of a Hexagonal Architecture (`Ports & Adapters`) driven by declarative YAML policies (autonomy_policy.yaml, action_catalog.yaml, risk_register.yaml).
Designed for adapters: The core engine (Orchestrator FSM, PolicyEngine, Trust Ledger) uses canonical Signal and SystemFacts contracts. Connecting it to another system still requires a suitable adapter, security review, and qualification for that target.

Live Demonstration & Validation Reports

The following public Render instance and reports demonstrate selected features. They are not evidence of production qualification or an availability guarantee:

Live Serverless Auto-Wake Production Instance (`Render` + `Tailscale` + `cron-job.org`):

Live Control Plane Status: [`https://agentic-ops-5ebv.onrender.com/`](https://agentic-ops-5ebv.onrender.com/)
Live Interactive SRE Web Console (`/console`): [`https://agentic-ops-5ebv.onrender.com/console`](https://agentic-ops-5ebv.onrender.com/console)
💬 Live Interactive Web Chat Assistant (`/chat`): [`https://agentic-ops-5ebv.onrender.com/chat`](https://agentic-ops-5ebv.onrender.com/chat)
Live `MCP` (`Model Context Protocol`) Manifest (`/mcp/manifest`): [`https://agentic-ops-5ebv.onrender.com/mcp/manifest`](https://agentic-ops-5ebv.onrender.com/mcp/manifest) *(Full guide: [`docs/MCP_SERVER_GUIDE.md`](docs/MCP_SERVER_GUIDE.md))*
Live Tailscale Mesh Status (`100.85.*.*` anonymized): [`https://agentic-ops-5ebv.onrender.com/api/tailscale/status`](https://agentic-ops-5ebv.onrender.com/api/tailscale/status)
Live Read-Only Pull Snapshot (`jakatt/cac_mlops`): [`https://agentic-ops-5ebv.onrender.com/api/cac/snapshot`](https://agentic-ops-5ebv.onrender.com/api/cac/snapshot)

[!TIP]

### 💬 Try the Live SRE Assistant Web Chat (/chat)

Direct Access: [`https://agentic-ops-5ebv.onrender.com/chat`](https://agentic-ops-5ebv.onrender.com/chat)

Ask natural language SRE questions, explore the 435 Failure Modes Taxonomy, simulate the 36 incident scenarios, and inspect the Multi-Agent System (MAS) in real-time with zero tokens consumed.

Cloud Sandbox Validation Report (`Docker Agentic Platform`): End-to-end deployment on an isolated micro-VM and line-by-line technical interpretation of all 30 unit, adversarial, and cryptographic security tests: [Read the Cloud Sandbox Deployment & Validation Report (`DOCKER_SANDBOX_VALIDATION.md`)](DOCKER_SANDBOX_VALIDATION.md)
Tailscale Pull Interconnection Report with Target Platform [`jakatt/cac_mlops`](https://github.com/jakatt/cac_mlops): Userspace Tailscale tunneling (--tun=userspace-networking / SOCKS5 proxy / DERP relays), strict read-only ingestion across 5 observability sources (Loki, Prometheus, MLflow, Prefect, Evidently), and validation via 13 unit tests: [Read the Tailscale Pull Connector Architecture & Validation Report (`CAC_TAILSCALE_PULL_CONNECTOR.md`)](CAC_TAILSCALE_PULL_CONNECTOR.md)
Target Outage & Scaleway/Tailscale Degradation Resilience Guide: Explains why the Control Plane never crashes if the supervised VPS goes down, detailing RemoteServiceStatus.REMOTE_TARGET_OFFLINE error absorption, Fail-Closed governance, autonomous local test execution, and 1-minute self-healing recovery: [Read the Target Outage & Resilience Guide (`docs/TARGET_OUTAGE_AND_RESILIENCE_GUIDE.md`)](docs/TARGET_OUTAGE_AND_RESILIENCE_GUIDE.md)
Official Thesis Defense Report (PDF, 40 Pages): Comprehensive SRE & MLOps thesis defense report on governance, multi-layer observability, deterministic FSM, and interconnection with jakatt/cac_mlops: [Read the Official Defense Report (`docs/Rapport_soutenance_Mar25_MLOps_Agentic_Car_Accident.pdf`)](docs/Rapport_soutenance_Mar25_MLOps_Agentic_Car_Accident.pdf)

Presentation Slides Explaining this Repository

Online Google Slides Presentation: [`https://docs.google.com/presentation/d/1fi5rEGww1CexT4OUcDj1d9W8YQhkL5GoXZwWDtCjLA0/edit?usp=sharing`](https://docs.google.com/presentation/d/1fi5rEGww1CexT4OUcDj1d9W8YQhkL5GoXZwWDtCjLA0/edit?usp=sharing)

Foundational Knowledge Engineering: The MLOps Failure Taxonomy & Incident War-Room Scenarios Registry

An AI Agent cannot safely diagnose or govern a production MLOps platform without a formal, structured ontology of how machine learning systems fail in the real world. Before writing a single line of orchestration code, Agentic-Ops was grounded in two foundational engineering registries that serve as the cognitive, observability, and decision-making reference frame for the entire repository:

Foundational Reference Document	Direct Link in Repository	Scale & Depth	Operational Role in `Agentic-Ops`

| 1. MLOps Failure Modes & Risk Taxonomy (`v2`) | [`docs/mlops_failure_modes_taxonomy.md`](docs/mlops_failure_modes_taxonomy.md) | 435 Failure Modes across 10 System Dimensions (636 lines / 143 KB) | The Observability & Risk Compass. Catalogs every failure class (Infrastructure, Data Pipelines, Feature Store, Training, Serving, Observability, CI/CD, SecOps, FinOps, Org) calibrated by Severity (`1-5`), Probability (`1-5`), Detectability (`1-5`), `RPN` (`Risk Priority Number` `/125`), primary `SLO` impact, detection sensor, automated mitigation, and human runbook. Compiled via [`agentic_ops/cli/compile_tax

Only the beginning is shown; read the rest in the repo

Agentic-Ops Control Plane

What it does

Install

Open Claude’s Connectors page

Click “Add” → “Custom” → “Web” and fill in these 2 fields

Turn it on in a chat

Try it

Open ChatGPT’s add-MCP page on the web

Fill in the name and address

Pick Agentic-Ops Control Plane in a chat

Try it

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

Try it

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

Try it

Over the web

Installed on your computer

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Otheri

Common questions

Others in the same category

World Monitor

Claude Flow

Windmill

README from the maker

Agentic-Ops Control Plane

Current release and honest qualification status

Project Origin: Extracted from nolll77/car_accident into an MLOps Control Plane

Live Demonstration & Validation Reports

Presentation Slides Explaining this Repository

Foundational Knowledge Engineering: The MLOps Failure Taxonomy & Incident War-Room Scenarios Registry

Project Origin: Extracted from `nolll77/car_accident` into an MLOps Control Plane