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PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Oci

by dockndevaiversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.dockndevai/mcp-oci

Install

Overview

Description from the maker (original English)

Oracle Cloud discovery + Terraform generation for AI agents — read-only, secret-safe.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: OCI_PROFILE, OCI_MODE

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "oci": {
      "command": "npx",
      "args": [
        "-y",
        "@dockndevai/mcp-oci"
      ],
      "env": {
        "OCI_PROFILE": "your-value",
        "OCI_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add oci --env OCI_PROFILE=your-value --env OCI_MODE=your-value -- npx -y @dockndevai/mcp-oci

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "oci": {
      "command": "npx",
      "args": [
        "-y",
        "@dockndevai/mcp-oci"
      ],
      "env": {
        "OCI_PROFILE": "your-value",
        "OCI_MODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "oci": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dockndevai/mcp-oci"
      ],
      "env": {
        "OCI_PROFILE": "your-value",
        "OCI_MODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • OCI_PROFILE env
    Profile within ~/.oci/config (default DEFAULT).
  • OCI_MODE env
    Access mode: read-only | read-write | admin.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dockndevai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1396 servers in this category
  • Published to the registry more recently than 52% of the other 1396 servers in this category
  • Basic checks equal to or better than 100% of the other 1396 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 MCP Oci safe?

It passed 1 of 1 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?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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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.

mcp-oci

A Model Context Protocol server for Oracle Cloud Infrastructure (OCI). It gives an MCP-capable client (Claude Desktop, Claude Code, Cursor, Copilot, …) the ability to discover live OCI resources, map how they relate, and generate reproducible Terraform — with behaviour controlled entirely by flags.

Think of it as a Playwright-MCP for your cloud: instead of rebuilding infrastructure knowledge by hand, the model can ask *"show all VCNs in the prod compartment"* and *"generate Terraform for this compartment"* and get structured, secret-free answers.

Features

  • Live discovery — compartments, regions, and any resource via OCI Resource Search.
  • Terraform generation — faithful HCL for known types (VCN, subnet, instance, bucket, compartment) and annotated skeletons for the rest; whole-compartment modules with provider variables.
  • Dependency graph — nodes/edges plus a suggested provisioning order (dependencies first).
  • Secrets never reach the model — every payload is redacted before return.
  • Security flags — access modes, compartment/region allowlists, provisioning gate, dry-run, and JSON audit logging (see below).
  • Standard auth — OCI config file (~/.oci/config) or instance principals. No credentials stored by the server.

Security model

ConcernFlagDefaultEffect
What can the server do?OCI_MODEread-onlyAll shipped tools are read-only. read-write/admin are reserved for future provisioning and currently expose no extra tools.
Which compartments are in scope?OCI_COMPARTMENT_ALLOWLIST*(all)*When set, operations on other compartments are refused.
Which regions are reachable?OCI_REGION_ALLOWLIST*(configured region)*When set, only these regions may be targeted.
Can it run terraform apply?OCI_ALLOW_APPLYfalseReserved gate for provisioning (not yet shipped).
Preview without executingOCI_DRY_RUNfalseFor future write tools: validate + log intent without executing.
Audit trailOCI_AUDIT_LOGtrueEmits a JSON line to stderr per guarded operation.
Secret redaction*(always on)*—Secret-shaped fields are replaced with ***REDACTED*** before any result is returned.

Tools

Discovery (read): list_compartments, list_regions, search_resources, list_compartment_resources, get_resource

Terraform (read): generate_terraform, generate_compartment_terraform, build_dependency_graph

Quickstart — add to your agent

Published on npm as @dockndevai/mcp-oci. No clone or build needed — your MCP client runs it on demand with npx. Start in `read-only` mode; see .env.example for every variable and docs/CLIENTS.md for the full per-client guide.

Claude Code (CLI)

claude mcp add oci -e OCI_PROFILE="DEFAULT" -e OCI_MODE="read-only" -- npx -y @dockndevai/mcp-oci

Claude Desktop · Cursor · Windsurf — same block in claude_desktop_config.json, .cursor/mcp.json, or ~/.codeium/windsurf/mcp_config.json:

{

"mcpServers": { "oci": { "command": "npx", "args": [ "-y", "@dockndevai/mcp-oci" ], "env": { "OCI_PROFILE": "DEFAULT", "OCI_MODE": "read-only" } } } }

OpenAI Codex CLI — in ~/.codex/config.toml:

[mcp_servers.oci]

command = "npx" args = ["-y", "@dockndevai/mcp-oci"] env = { OCI_PROFILE = "DEFAULT", OCI_MODE = "read-only" }

VS Code (GitHub Copilot, Agent mode) — in .vscode/mcp.json:

{

"servers": { "oci": { "type": "stdio", "command": "npx", "args": [ "-y", "@dockndevai/mcp-oci" ], "env": { "OCI_PROFILE": "DEFAULT", "OCI_MODE": "read-only" } } } }

Configure

Point it at a standard OCI config profile. For safety, use an IAM user/policy with read-only (inspect/read) permissions on the compartments you want the agent to see.

Example prompts

  • *"List all compartments, then show every resource in the prod compartment."*
  • *"Generate Terraform for VCN ocid1.vcn.oc1..…."*
  • *"Build a dependency graph for compartment … and tell me the provisioning order."*

Run from source (development)

Prefer the published package above. To run from a clone:

npm install

npm run build node dist/index.js # with the environment variables set

Develop

npm run dev        # watch mode

npm test # security policy + terraform generation + graph + redaction npm run typecheck

Roadmap

  • terraform plan / apply execution behind read-write/admin + OCI_ALLOW_APPLY.
  • More resource-type mappers (load balancers, databases, DRGs, IAM policies).
  • Cross-environment drift comparison.

Publishing

This server ships a server.json for the official MCP registry and an mcpName for npm ownership validation. See [PUBLISHING.md](PUBLISHING.md) for publishing to npm and listing on the MCP registry, Smithery, Glama, Cursor, and PulseMCP.

License

MIT

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