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ProdHub Application Delivery

by SwaDeshiTechversion 0.8.0i★ –iRuns in the cloud
Registry nameio.github.SwaDeshiTech/prodhub

Install

Overview

Description from the maker (original English)

Deploy and diagnose applications in governed Kubernetes Preview Spaces through authenticated MCP.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Developer tools

Install

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

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://app.prodhub.in/mcp

Run this in your terminal

claude mcp add --transport http prodhub https://app.prodhub.in/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "prodhub": {
      "url": "https://app.prodhub.in/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "prodhub": {
      "type": "http",
      "url": "https://app.prodhub.in/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://app.prodhub.in/mcp

Menu names can differ slightly by plan and over time.

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.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account SwaDeshiTech, 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

  • ✓ Pass

    Endpoint responds

    Responded in 2079 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Developer toolsi

  • More stars than 0% of the other 4900 servers in this category
  • Published to the registry more recently than 84% of the other 4900 servers in this category
  • Basic checks equal to or better than 100% of the other 4900 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 ProdHub Application Delivery safe?

It passed 3 of 3 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.8.0) reached the registry 6 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 in developer mode.

What can I use instead?

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

Alternatives

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

by 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.

Computer or cloud★ 34,245MITUpdated 4 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

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.

ProdHub Agent Kit

Give any MCP-compatible coding harness a safe, repeatable path from source code to a ProdHub Preview Space.

The hosted server also exposes named operations for the authenticated user's role-visible ProdHub areas. Agents discover these through list_available_product_areas and list_product_operations, then execute only returned operation IDs through execute_product_operation. Arbitrary backend paths are not accepted, writes require explicit confirmation, and normal Gateway ACL plus ProdHub ownership checks still apply. Cloud Resources, Cloud Snapshot, and Snapshot History are intentionally not exposed through MCP. The MCP transport and every tool operation use the same path, method, and role ACL policy as their equivalent ProdHub HTTP APIs; an unconfigured operation is denied by default.

This kit does not contain credentials. ProdHub uses browser-based OAuth, scopes each session to the approved organization, and applies the same role controls as the product UI.

Install

The canonical remote MCP endpoint is:

https://app.prodhub.in/mcp

ProdHub is described for machine discovery in server.json and published under io.github.SwaDeshiTech/prodhub in the official MCP Registry. MCP clients and registry-backed catalogs can use that entry to discover the hosted Streamable HTTP endpoint without relying on a general web search.

Codex
codex mcp add prodhub --url https://app.prodhub.in/mcp

Merge the delivery instructions in AGENTS.md into the repository where Codex should use ProdHub; preserve existing project instructions. Copy the supporting docs too, or retain links to this kit.

Gemini CLI
gemini mcp add prodhub https://app.prodhub.in/mcp --transport http --scope user

Copy GEMINI.md into that repository or merge its instructions with an existing project file.

Claude Code and other MCP clients

Use the remote-server entry in mcp.json, then copy or merge CLAUDE.md into the project guidance file used by your client.

ChatGPT and Codex plugin

This repository is also a portable Agent Plugins package:

  • plugin.json contains the public listing, onboarding, review, and publication metadata.
  • mcp.json declares the remote ProdHub MCP server and OAuth with dynamic client registration.
  • skills/get-started/SKILL.md supplies the post-install setup and safe-delivery workflow.
  • assets/prodhub-icon.svg is the square directory and composer icon.

Generate the ZIP to upload in the OpenAI Plugins submission portal:

./scripts/package-chatgpt-plugin.sh

Before final submission, record a reviewer-accessible walkthrough and add its URL to extensions.com.openai.review.demo_recording_url in plugin.json. Enter the dedicated test-account credentials only in the secure review form; never commit them to this repository.

Follow the complete ChatGPT submission checklist for the review fixture, domain verification, upload, and publication steps.

First connection

  1. Add the MCP endpoint in the client.
  2. Start the OAuth connection. Sign in to ProdHub and choose an organization.
  3. Approve the consent screen.
  4. Ask the coding harness to deploy a branch or create a Preview Space.

To disconnect, use the MCP client's remove/disconnect action. ProdHub advertises an OAuth token-revocation endpoint, so compatible clients can invalidate their access or refresh token immediately instead of waiting for expiry.

An authorized agent can also call list_access_credentials to review the user's browser sessions, MCP sessions, and generated API tokens. It must show the exact credential and obtain explicit confirmation before calling revoke_access_credential; the server independently verifies ownership and never returns bearer-token values.

For a normal application build, use list_applications, list_application_profiles, and get_application_profile to resolve the exact BUILD profile. Show the selected repository, profile, and immutable commit SHA; after explicit approval call trigger_build, then poll the returned execution with get_pipeline_execution.

The agent should begin with get_prodhub_delivery_capabilities, call list_available_product_areas, inspect the repository and the prodhub_build contract, show a plan, obtain approval, and then create resources. The product-area response is filtered by the same role-based tab configuration used by the ProdHub UI and does not require organization selection.

Read the full workflow in docs/preview-delivery.md.

Understand the product before deploying

Start with product concepts to distinguish applications, profiles, provider connections, Preview Spaces, and pipeline executions. Then follow the end-to-end Preview Space runbook. It covers new applications, existing profiles, credential sync, branch/revision verification, planning, explicit profile selection, provisioning, monitoring, retrying in the same environment, and lifecycle handoff.

Use profile field definitions while inspecting source, and failure recovery when delivery fails. These guides describe the current implementation; the connected server's tools/list is authoritative for tool availability.

Example requests

  • “Deploy this repository's feature/login branch to a new Preview Space for one day.”
  • “Reuse the existing catalog application's profiles and give me a verified preview URL.”
  • “Check why this Preview Space failed, fix the configuration, and retry in the same environment.”

The agent should retain the application, profile, environment, and execution IDs returned by tools. Users should not have to discover these IDs manually. Local uncommitted changes are not included in a remote build.

Important boundaries

plan_application_preview plans delivery for an existing application with saved profiles. New application onboarding needs its own proposal before those records are created. The planner does not validate the source code or reserve resources.

A url_available response means a URL exists, not necessarily that the application has finished deploying. Inspect the current execution and verify the application response before reporting success. Early environment deletion and generic profile updates currently need a supported product flow; do not invent MCP tools for them.

mcp.json is a configuration example. Clients have different file names and schemas; cloning this repository alone does not register the MCP server.

Files

  • server.json: official MCP Registry metadata for the hosted server.
  • mcp.json: portable remote-MCP configuration.
  • plugin.json: ChatGPT and Codex public plugin metadata.
  • skills/get-started/SKILL.md: plugin onboarding workflow.
  • docs/chatgpt-submission.md: public directory submission checklist.
  • AGENTS.md: Codex-oriented project instructions.
  • CLAUDE.md: Claude Code project instructions.
  • GEMINI.md: Gemini CLI project instructions.
  • docs/preview-delivery.md: safe delivery workflow.

For the browser setup page, see prodhub.in/setup.

Publishing discovery metadata

The Publish MCP Registry metadata GitHub workflow validates and publishes server.json using GitHub OIDC. No registry token or long-lived secret is required. Increment the manifest version whenever the public MCP identity or tool contract changes; merging that update to main republishes the entry.

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