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

RepoRelay

by Lukie-81version 1.2.5i★ –iRuns on your computer
Registry nameio.github.Lukie-81/reporelay

Install

Overview

Description from the maker (original English)

Bounded local MCP access to one approved repository for AI read/search and structured handoffs.

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: Streamable HTTP
  • Category: Search & AI memory

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).
  • The registry lists no key to fill in.

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": {
    "reporelay": {
      "command": "npx",
      "args": [
        "-y",
        "reporelay-mcp",
        "quickstart"
      ]
    }
  }
}

Run this in your terminal

claude mcp add reporelay -- npx -y reporelay-mcp quickstart

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

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

{
  "mcpServers": {
    "reporelay": {
      "command": "npx",
      "args": [
        "-y",
        "reporelay-mcp",
        "quickstart"
      ]
    }
  }
}

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 needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "reporelay": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "reporelay-mcp",
        "quickstart"
      ]
    }
  }
}

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.

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 Lukie-81, 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 Search & AI memoryi

  • More stars than 0% of the other 7286 servers in this category
  • Published to the registry more recently than 31% of the other 7286 servers in this category
  • Basic checks equal to or better than 100% of the other 7286 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 RepoRelay 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 (1.2.5) reached the registry 3 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
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.

Give AI access to your repository — not your machine.

RepoRelay lets ChatGPT safely inspect one local repository without giving it control of the rest of your computer.

=22.19 <27">

Website &middot; npm package &middot; MCP listing

ChatGPT &rarr; Secure MCP Tunnel &rarr; tunnel-client &rarr; RepoRelay &rarr; one approved repository

Read safe files &middot; Search code &middot; One approved repository &middot; No shell &middot; No Git &middot; No arbitrary writes

Watch the full demo &rarr;

Quick Setup &middot; Use It &middot; Handoff &middot; Troubleshooting &middot; Security

What RepoRelay does

RepoRelay is a local, first-party MCP bridge that gives ChatGPT bounded access to exactly one approved repository on your computer &mdash; nothing more.

ChatGPT reviews your code through RepoRelay, and can leave a structured task for a separate local coding agent (like Codex or Claude) through fixed handoff files. RepoRelay is the security boundary between ChatGPT and your machine.

ChatGPT reviews/plans

↓ RepoRelay ↓ Repository reads/searches + fixed .ai-handoff writers ↓ Codex / another local coding agent implements

How the safety model works

MCP (Model Context Protocol) is the standard that lets ChatGPT call tools. ChatGPT is the MCP client. RepoRelay is the local MCP server and security boundary: it decides what ChatGPT may access and exposes exactly one approved repository at a time. tunnel-client is only the secure networking pipe that carries ChatGPT traffic to your computer.

ComponentJob
ChatGPTMCP client — chooses RepoRelay tools.
Secure MCP TunnelCarries traffic from ChatGPT to your computer.
tunnel-clientLocal network forwarder; points the tunnel at RepoRelay.
RepoRelayMCP server + security boundary; enforces authentication and allowed access.
RepositoryThe one directory ChatGPT is allowed to inspect.

What ChatGPT can do through RepoRelay (the normal 7-tool setup):

✓ inspect files          open_workspace, list_files, read_file

✓ find instructions list_files with instructionsOnly ✓ search the repository search_files ✓ write to three predetermined handoff targets write_next_task, write_review, update_handoff_state

In read-only mode, only the four read/search tools are exposed.

What ChatGPT cannot do:

✗ run shell commands

✗ run PowerShell ✗ run Git ✗ launch processes ✗ arbitrarily edit source files ✗ delete files ✗ choose arbitrary write targets ✗ access outside the approved repository

This is one of RepoRelay's strongest differentiators: ChatGPT can read and plan against your code, but it gets no execution capability and can only write to a few fixed handoff files you control.

Before you install

Which mode should I use?

RepoRelay runs in two modes. The right one depends on your ChatGPT plan and workspace:

ModeStart commandTools in Scan Tools
Read-onlyreporelay quickstart " " --no-handoff-writes4
Handoff (default)reporelay quickstart " "7
  • Personal ChatGPT workspaces: if developer mode and the Tunnel connection are available for your account, start with read-only mode. ChatGPT can open, read, and search the repository, but cannot write handoff files. Expect 4 tools.
  • Business / Enterprise / Edu workspaces: available capabilities depend on your plan and workspace/admin settings. Where developer features and handoffs are enabled, the normal setup exposes 7 tools (4 read/search + 3 fixed handoff writers).

Both modes share the same security boundary; read-only mode simply disables the three handoff writers. RepoRelay cannot enable ChatGPT developer mode or tunnel access. OpenAI plan and workspace behavior changes over time, so check the current OpenAI Secure MCP Tunnel guide for what your account offers.

You need:

  • Node.js >=22.19 and <27 (npm is included). Check with node --version.
  • An existing local project or repository you want ChatGPT to review. It must be a real folder on your computer &mdash; not a drive root and not your whole user folder.
  • OpenAI Secure MCP Tunnel access. RepoRelay reaches ChatGPT through OpenAI's Secure MCP Tunnel. See the current OpenAI Secure MCP Tunnel guide for availability, permissions, and plan details.
  • Permission to create/use a custom MCP app in the target ChatGPT workspace (ChatGPT developer mode).

You do not need to download anything else. RepoRelay installs the official OpenAI tunnel-client automatically during reporelay tunnel setup.

Do not worry about the handoff protocol yet. The quickstart sets up working handoff files for you and explains them as you go.

Quick setup

Where setup happens

Setup touches three different surfaces, and the tunnel and the ChatGPT integration are configured in different places:

YOUR MACHINE          reporelay quickstart "<repo>"

starts RepoRelay against ONE repository ↓ OPENAI PLATFORM create the Secure MCP Tunnel + runtime API key (reporelay tunnel setup walks you through it) ↓ CHATGPT enable developer mode, then add RepoRelay through the Plugins / custom MCP app flow, choosing the tunnel you created

The Secure MCP Tunnel is created and configured in OpenAI Platform. The ChatGPT integration that uses the tunnel is added inside ChatGPT — not on the Platform page where you created the tunnel. If you already have a tunnel and are wondering "where do I actually add RepoRelay to ChatGPT?", that is step 6 below, inside ChatGPT itself.

Path examples. Always quote the repository path:

`bash

# macOS / Linux

reporelay quickstart "$HOME/Projects/my-app"

`

`powershell

# Windows PowerShell — keep the backslashes

reporelay quickstart "C:\Users\you\Projects\my-app"

`

C:\Users\you\Projects\my-app is correct. C:Users\you\Projects\my-app is

not &mdash; the backslashes matter.

1. Install RepoRelay
npm install -g reporelay-mcp@latest

npm is the supported and tested installer. Check the install:

reporelay --version

If reporelay cannot be found (command not found on macOS/Linux, is not recognized on Windows), see Troubleshooting.

2. Start RepoRelay on one repository
reporelay quickstart "$HOME/Projects/my-app"

Replace the path with the repository you want to expose (Windows example: reporelay quickstart "C:\Projects\my-app"). Keep this terminal open.

No path? The current directory is only a default. If you omit the repository path, quickstart uses the directory you are standing in and says so in its summary. Only this default depends on the current directory — reporelay tunnel setup, tunnel doctor, and tunnel run read stored per-user configuration and work from any directory. The tunnel does not need to be started from the repository directory.

You should see:

Ready.

Local MCP: http://127.0.0.1:7676/mcp

The normal quickstart enables the 7-tool handoff surface (4 inspection tools + 3 fixed handoff writers). RepoRelay now creates a small .ai-handoff workspace and an AGENTS.md note so ChatGPT can leave structured tasks and reviews for a separate local coding agent:

.ai-handoff/NEXT_TASK.md

.ai-handoff/REVIEW.md .ai-handoff/RESULT.md .ai-handoff/STATE.json AGENTS.md

Using read-only mode instead (--no-handoff-writes, the recommended starting mode for personal ChatGPT workspaces that expose developer mode and Tunnel)? RepoRelay exposes the 4 read/search tools and creates none of these files. See Read-only mode.

Why does RepoRelay create these? ChatGPT still cannot run commands, use Git, or arbitrarily edit your repository. These files are simply a place where ChatGPT can leave a task, and a separate local coding agent (running on your own machine, with your own permission) can leave its result. More below in ChatGPT ↔ coding-agent handoff.

To stop RepoRelay later, press Ctrl+C in this window. There is no reporelay quickstart --stop.

3. Audit it

Immediately after quickstart, verify RepoRelay's actual security boundary:

reporelay audit "$HOME/Projects/my-app"

You should see:

RESULT: PASS

Audit starts its own temporary loopback listener and exercises the real authenticated MCP surface, containment checks, and handoff restrictions. It does not modify your repository. This validates RepoRelay *before* ChatGPT is connected. If you started quickstart with --no-handoff-writes, add the same flag to the audit command.

4. Run RepoRelay tunnel setup

In a second terminal window, run:

reporelay tunnel setup

This starts the RepoRelay setup wizard. It does everything for you:

✓ installs a RepoRelay-supported OpenAI tunnel-client

✓ verifies it (pinned version + official SHA-256) ✓ opens OpenAI tunnel setup ✓ asks for your tunnel ID ✓ opens OpenAI runtime-key setup ✓ securely stores the pasted key ✓ creates the tunnel profile ✓ tests the complete connection

You provide exactly two things, both in OpenAI Platform:

  1. Your Secure MCP Tunnel ID — the wizard opens https://platform.openai.com/settings/organization/tunnels in your browser. Create or select

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

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