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Agent Intern

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Agent Intern, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

agent-intern

Give Claude Code an intern.

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

CI PyPI PyPI Downloads License: MIT Glama

Claude Code hands a task to Antigravity, Codex, opencode, Copilot and Cursor in turn; each lights up while it works, sends its answer back, and Claude celebrates when all five are done

Quick start Β· What it's for Β· Backends Β· Security Β· 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 β€” 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 β€” 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:

Terminal
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 β€” 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 β€” 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 β€” read-only β€” 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 <what to draw>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 β†’

What it's for

  • 🎨 Images, inside Claude Code. antigravity_image has Gemini draw it and returns the saved file β€” 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 (~2.8Γ— at 3 Gemini workers).
  • βš–οΈ 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.
  • πŸ’Έ Cheaper grunt work. Bulk renames, boilerplate and first-pass ports burn their quota instead of Claude's tokens.
  • πŸ†“ No subscription? Still works. opencode's free models answer with zero credentials β€” slow, but free.
  • πŸ”Œ 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 β€” its narration, the real commands it runs, then the answer or the finished image.

a text askantigravity_image β€” image inline
Agent Intern window for a text ask: Claude's prompt as a chat bubble, the agent's live steps as a timeline (its narration, and each real command it runs ticked off with its duration), then the answer as a Markdown cardAgent Intern window generating an image: the prompt bubble, the live step timeline, then the finished image shown inline
Agent Swarm dashboard: one card per worker with its backend's logo, prompt, a status chip with a live clock, its latest step and a time bar, under counters for running, queued, done and failed workers
agent_swarm(..., watch=true) β€” one card per worker; click a card to pop that agent into its own window. More on watch mode and swarms β†’

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:

Code
preset_swarm(preset="jury", material="<the full application>")
CriterionTechnical Β· codexImpact Β· antigravitySkeptical Β· 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 β†’

Backends

BackendBest atSandboxYou need
πŸ›°οΈ Antigravity (Gemini)fast, cheap answers β€” and the only image model❌ none by default Β· opt-in plan=TrueGoogle AI Pro
πŸ€– Codex (OpenAI)heavy reasoning, real repo editsβœ… real OS sandboxΒΉa ChatGPT plan or API key
πŸ™ Copilot (GitHub)agentic coding⚠️ best-efforta Copilot plan
✳️ Cursorthe widest model menu β€” GPT, Claude, Grok, Composer⚠️ agent-enforceda Cursor plan
🧩 opencodeworking with no subscription (free models take minutes)⚠️ agent-enforced, identical on every OSnothing
πŸ§ͺ Grok Build (xAI)experimental β€” unverifiedβœ… on Linux/macOS onlySuperGrok / X Premium+
πŸŒ™ Kimi Code (Moonshot)experimental β€” unverified❌ nonea Kimi plan
🎼 Muse Code (Meta)experimental β€” pipeline verified offline, real model not⚠️ read-only switches write/shell/web tools off; OS sandbox for writesa Muse plan or META_API_KEY

ΒΉ On Windows, codex 0.149.1's sandbox refuses every command β€” reads included β€” 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 β†’

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Agent Intern

We don't have a confirmed install command for Agent Intern yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/SinanTufekci/agent-intern) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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