GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Agent-native hosting: deploy any folder to a live URL in one command. No approve tool.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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": {
"openpouch": {
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}Run this in your terminal
claude mcp add openpouch -- npx -y @openpouch/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openpouch": {
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"openpouch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account openpouch, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
**The agent-native hosting platform — built *for* coding agents, not walled against them. Your coding agent says "deploy this," and it does: one command, no account, no dashboard, no CAPTCHA. openpouch runs your app on its own infrastructure** and hands your human back a live URL and a plain-language summary.
Your app is the joey; openpouch carries it safely. 🦘
Status: live. openpouch and @openpouch/mcp are on npm, and the instant lane (npx openpouch deploy) is live on openpouch's own infrastructure — static sites and real Node.js apps in hardened containers, with server-side build-on-deploy. Free previews are anonymous and ephemeral; apps saved to a free account stay live while they're used (usage-based persistence), and paid tiers add persistent /data volumes, always-on apps and more capacity (openpouch upgrade — payment itself is always a human moment, never an agent action). APIs are still young and feedback shapes them — issues welcome.
Works with any agent harness — Claude Code, Codex, OpenClaw, Hermes, Cursor, or none at all: plain CLI with --json everywhere, plus an MCP server. Setup snippets per harness: docs/HARNESSES.md.
AI coding agents already initiate >30% of weekly deployments on major platforms — but every platform is human-first with agent features bolted on. Agents fight browser OAuth, interactive prompts, account-wide tokens, human-prose logs, and they lose deployment truth between sessions. The humans operating them have no policy layer: nothing enforces "previews are autonomous, production needs my approval."
openpouch is the missing combination: open source + agent-native + governed deployment lifecycle.
Deploy any folder to a live URL in one command — no account, no provider key, no setup:
npx openpouch deploy
You get a live https:// .openpouch.sh preview plus a claim link. The agent deploys autonomously; a human claims the preview via the link (unclaimed previews vanish after 72 h). openpouch writes the deployment truth (deploy.manifest.json, deploy.evidence.json, DEPLOYMENT.md) back into your repo, so any agent can pick up where the last one left off.
Prefer your own provider? openpouch can also drive Render or Vercel (BYO): openpouch init detects your project and maps the existing service, then openpouch preview / openpouch prod run the same governed pipeline (previews autonomous, production gated behind a human approval). The product itself, though, is openpouch's own hosting — see docs/INDEX.md.
We commission independent agent harnesses to test openpouch end-to-end (build an app from scratch, deploy, verify, report) — their own words:
"OpenPouch currently feels genuinely agent-native." — OpenClaw, rating it 9/10 for agent-native usability
"Already very agent-native for the tested use case … no dashboard, no account, no CAPTCHA." — Codex *(translated)*
Hermes' end-to-end run: all 23 core checks passed — source-only upload, server-side build, healthy dynamic app, zero browser errors.
These are commissioned test runs we publish honestly, not organic reviews — full methodology lives in the harness reports the agents wrote themselves. Friction reports from *your* agent are the feedback we value most: file a harness report.
Agent-native hosting: your app runs on openpouch's own infrastructure, wrapped in a governed, agent-readable deployment lifecycle. Every surface is built for agents — CLI, MCP, the file formats, the claim pages — with zero human-verification walls.
openpouch deploy/init/inspect/plan/preview/prod/approve/verify/logs/rollback/list/delete/signup/activate/whoami/feedback) — zero-config detection, --json everywhere, meaningful exit codes, machine-readable errors with fix hints, and a plain-language summary to relay to your (possibly non-technical) humandeploy.manifest.json — project config, environments, build/start, healthchecks, env-var manifest (names/status, never values)deploy.policy.json — what agents may do per environment; approval rulesDEPLOYMENT.md + deploy.evidence.json — what is live (URL, commit, time, smoke results, rollback anchor)Safety, non-negotiable: read-only by default; previews can be autonomous; production requires a signed, single-use approval granted by a human in an interactive terminal; no destructive action class in the governed/production lane (the only delete is openpouch delete — owner-scoped self-service removal of your own ephemeral instant preview, not approval-gated by design); secret values never enter model context; full audit trail. Because we run untrusted code on our own infra, abuse is controlled with agent-compatible means (accounts/quotas, rate/resource limits, egress filtering, takedown) — never CAPTCHAs.
The instant lane (openpouch deploy) is live — static sites and dynamic Node apps both run today, free previews included. Since 0.3.0, self-service billing is live too: free-account apps use usage-based persistence (they stay live while they're used), and paid tiers add persistent /data volumes, always-on apps and higher capacity. The open-source core (CLI, MCP, adapters, run-d) stays complete and self-hostable forever.
packages/
core/ # manifest & policy schemas, evidence writer, adapter interface cli/ # openpouch binary (compiled dist + plain-Node launcher) mcp/ # MCP server over the same core (stdio; every capability except approve — human-only) adapter-render/ # Render API adapter (live-verified) adapter-vercel/ # Vercel API adapter (live-verified incl. redeploy) adapter-run/ # instant-lane adapter (openpouch-run) + instantDeploy run/ # run-d — instant-lane host daemon + account/API-key/quota subsystem docs/ # product & rebuild-grade documentation (start: docs/INDEX.md) llms.txt # agent-facing entry point (llmstxt.org format)
All documentation must be complete enough that any developer or AI harness can understand and functionally rebuild the project from the docs alone: business rules, data model with units, full API reference, workflows, architecture, test gates, and a rebuild guide with acceptance criteria — derived from actual code, with an index separating current truth from history.
good first issue marks mentored entry points.Apache-2.0 (decided 2026-06-12; explicit patent grant — see LICENSE and NOTICE).