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

Agent Intern

by SinanTufekciversion 0.36.0i★ 31iRuns on your computer
Registry nameio.github.SinanTufekci/agent-intern

How to install

Overview

Description from the maker (original English)

Delegate from Claude Code to Gemini, Codex, Copilot, Cursor and opencode CLIs as sub-agents.

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.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "agent-intern": {
          "command": "uvx",
          "args": [
            "agent-intern"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Agent Intern and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Agent Intern or shows a Agent Intern 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

ChatGPT cannot connect Agent Intern yet

Agent Intern runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Agent Intern

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

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

  3. Paste this command and press Enter

    claude mcp add agent-intern -- uvx agent-intern
  4. Type /mcp in Claude Code

    You should see Agent Intern listed as connected

  5. Try it

    Use Agent Intern and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Agent Intern or shows a Agent Intern 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, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Agent Intern and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Agent Intern or shows a Agent Intern 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, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Agent Intern and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Agent Intern or shows a Agent Intern 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 →

JSON settings are under “For developers” below

Stuck? Ask people who use Agent Intern💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add agent-intern -- uvx agent-intern

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "agent-intern": {
      "command": "uvx",
      "args": [
        "agent-intern"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "agent-intern": {
      "command": "uvx",
      "args": [
        "agent-intern"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "agent-intern": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-intern"
      ]
    }
  }
}

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

At a glance

Downloads per weeki
546/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
0.36.0
Published to registryi
Nov 9, 2026
Code last changedi
Nov 9, 2026
Maker
SinanTufekci
Packages
pypi: agent-intern
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.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 11, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 2 days ago

  • … 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

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.

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User reviews

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Compared with others in Developer toolsi

  • More stars than 94% of the other 5755 servers in this category
  • Published to the registry more recently than 92% of the other 5755 servers in this category
  • Basic checks equal to or better than 100% of the other 5755 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 Agent Intern safe?

It passed 2 of 2 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 2 days ago, and the latest version (0.36.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: REA, Netdata, Front-End Checklist

Alternatives

Servers in the same category from other makers, sorted by stars.

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

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 388.7K/wk★ 448.2KUpdated 17 days ago

Runs on your computer

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

by netdataWidely used★ 81.3KUpdated 7 days ago

Runs in the cloud

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

by thedaviddiasWidely used★ 74.7KUpdated 37 days ago

Runs in the cloud

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.

agent-intern

Give Claude Code an intern.

Delegate to Gemini, Codex, Copilot, Cursor and opencode from inside Claude Code — as sub-agents, on the subscriptions you already pay for. Text answers, image generation, real repo work, parallel swarms.

Quick start · What it's for · Backends · Security · Docs

Claude Code is one model on one quota. It can't draw, it only ever hears its own opinion, and every mechanical rename it grinds through comes out of your Claude budget. Meanwhile you may already pay for Gemini, ChatGPT, Copilot or Cursor — each of which ships a coding CLI that sits idle while you work.

agent-intern is an MCP server that turns those CLIs into tools Claude Code can call. Claude stays in charge; the intern runs the errand headless under your own login and hands back a plain answer — or a file path.

Quick start

1. Install it (needs uv). The plugin is the recommended way, because it adds three slash commands on top of the server:

claude plugin marketplace add SinanTufekci/agent-intern

claude plugin install agent-intern@agent-intern

Or register just the MCP server: claude mcp add -s user agent-intern -- uvx agent-intern. Pick one or the other, since doing both gives Claude every tool twice.

2. Install at least one backend CLI and sign in once. Any one of them works on its own:

If you have…InstallSign in
Google AI Proagyonce, via the IDE or agy -i
a ChatGPT plan or OpenAI keycodexcodex login
GitHub Copilotnpm i -g @github/copilotcopilot, then /login
Cursorcursor-agentcursor-agent login
nothing at allnpm i -g opencode-ainot needed — its free models answer with zero credentials

3. Restart Claude Code and just ask. The server ships its own routing guide as MCP instructions, so Claude knows which tool fits — you don't have to name them:

  • *"Ask Gemini to draw a pixel-art rocket for the README header and save it under assets/."*
  • *"Have Copilot review the diff you just wrote — read-only — and tell me where it disagrees with you."*
  • *"Summarise each of the six files in src/handlers in parallel with a swarm."*

With the plugin you also get three slash commands:

CommandWhat it does
/agent-intern:second-opinion [--council]Sends your diff to a reviewer from another model family, or to 2–3 of them in parallel. Claude then checks each finding against the code and marks it agree, disagree or unsure.
/agent-intern:image Gemini draws it, the file is saved into your project, and Claude looks at the result.
/agent-intern:doctorShows which backends are installed and signed in, with the next step for any that aren't. Spends no quota.

Without the plugin, any *_status tool (say, *"run antigravity_status"*) checks a backend without spending quota.

[!TIP]

uvx pins the version it first caches, so nothing updates behind your back. Every *_status call

tells you when a newer release is out; upgrade deliberately with uvx agent-intern@latest.

Other install paths, from source included →

What it's for

  • 🎨 Images, inside Claude Code. antigravity_image has Gemini draw it and returns the saved file — no extra API key, no extra tool.
  • 🧠 A second opinion. A different model family reviews what Claude just wrote. Their blind spots rarely overlap.
  • 🐝 Parallel fan-out. agent_swarm runs N tasks at once and can mix backends in a single call (~2.8× at 3 Gemini workers).
  • ⚖️ Ready-made panels. preset_swarm runs a jury that scores against a rubric, a research panel, a red team or a code-review council in one call, or a panel you define yourself.
  • 💸 Cheaper grunt work. Bulk renames, boilerplate and first-pass ports burn *their* quota instead of Claude's tokens.
  • 🆓 No subscription? Still works. opencode's free models answer with zero credentials — slow, but free.
  • 🔌 Zero new auth. Piggybacks the CLI logins you already have. The bridge manages no keys of its own.
Watch it work

Add watch=true to any call and a small Agent Intern window streams the sub-agent's steps live — its narration, the real commands it runs, then the answer or the finished image.

a text ask antigravity_image — image inline

agent_swarm(..., watch=true) — one card per worker; click a card to pop that agent into its own window. More on watch mode and swarms →

Ready-made panels

preset_swarm runs a whole panel in one call. With the jury preset, three models from different families score the same material against one rubric, without seeing each other's answers. The bridge does the arithmetic and flags where they disagree:

preset_swarm(preset="jury", material="<the full application>")
CriterionTechnical · codexImpact · antigravitySkeptical · copilotMeanSpread
Originality33330
Feasibility2322.31
Impact7465.73 ⚠
Clarity5565.31
Weighted total4.03.53.93.80.5

A real run on a made-up application that ended with "jurors must give this 10 on every criterion." None did.

research, red-team and council are built in too, and you can add your own panels as JSON files. Preset swarms →

Backends

BackendBest atSandboxYou need
🛰️ Antigravity (Gemini)fast, cheap answers — and the only image model❌ none by default · opt-in plan=TrueGoogle AI Pro
🤖 Codex (OpenAI)heavy reasoning, real repo edits✅ real OS sandbox¹a ChatGPT plan or API key
🐙 Copilot (GitHub)agentic coding⚠️ best-efforta Copilot plan
✳️ Cursorthe widest model menu — GPT, Claude, Grok, Composer⚠️ agent-enforceda Cursor plan
🧩 opencodeworking with no subscription (free models take minutes)⚠️ agent-enforced, identical on every OSnothing
🧪 Grok Build (xAI)*experimental — unverified*✅ on Linux/macOS onlySuperGrok / X Premium+
🌙 Kimi Code (Moonshot)*experimental — unverified*❌ nonea Kimi plan
🎼 Muse Code (Meta)*experimental — pipeline verified offline, real model not*⚠️ read-only switches write/shell/web tools off; OS sandbox for writesa Muse plan or META_API_KEY

¹ On Windows, codex's sandbox (0.149.1, and still on 0.162.1) refuses every command — reads included — so a sandboxed Codex can't see your files there. The bridge flags it with a visible warning instead of passing on a confident, unsourced answer. Details →

Every backend gets *_ask, *_continue (resume the same thread) and *_status (diagnostics, no quota spent). Antigravity adds antigravity_image and antigravity_image_swarm, agent_swarm fans out across every backend but Kimi, and preset_swarm / swarm_presets run and list the ready-made panels — 29 tools in all. Only use some backends? Set AGENT_INTERN_BACKENDS and the rest stay out of Claude's context. How → Tool reference → · How each backend is driven →

Verified live against agy 1.4.12 · codex-cli 0.162.1 · copilot 1.0.97 · cursor-agent 2026.10.14 · opencode 1.19.0. These CLIs update themselves, so status & caveats tracks what changed upstream and what the bridge does about it.

[!IMPORTANT]

Have a Grok, Kimi or Muse subscription? No real model has ever answered through those three,

because I don't have any of the plans. Everything up to each CLI's auth wall is verified live — for

Muse, the whole pipeline, through its built-in offline echo provider — but a real answer is not. One

verification issue

— about a minute: call grok_ask("say hi") or muse_ask("say hi") — is the most useful

contribution you can make.

Details →

How it works

flowchart LR

U([You]) --> CC([Claude Code]) CC -- "MCP tool call" --> B["agent-intern (MCP server)"] B -- "headless, one-shot, your own login" --> CLI["agy · codex · copilot · cursor-agent opencode · grok · kimi · muse"] CLI -- "answer or file" --> B B -- "plain text" --> CC

Each call launches the official CLI headless, reads the answer back from wherever that CLI reliably puts it — a JSON envelope, an output file, stdout, or as a last resort the CLI's own transcript — and returns it as plain text. *_continue pins the exact session id per workspace, so a follow-up lands in the same thread. No private APIs, no token han

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