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

repoward

by Sanoy24version 0.3.0i★ –iRuns on your computer
Registry nameio.github.Sanoy24/repoward

Install

Overview

Description from the maker (original English)

GitHub MCP server that blocks private-to-public leaks by agents, with approvals and audit.

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: stdio
  • Category: Developer tools
  • You need to fill in: GITHUB_TOKEN

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).
  • You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "repoward": {
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add repoward --env GITHUB_TOKEN=your-value -- uvx repoward serve

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "repoward": {
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "repoward": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • GITHUB_TOKEN secret required env
    Fine-grained personal access token limited to the repositories in your policy.

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 Sanoy24, 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 Developer toolsi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 99% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 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 repoward 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?

You need to fill in: GITHUB_TOKEN

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 (0.3.0) reached the registry today.

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: 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 3 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.

repoward

A GitHub MCP server that stops AI agents acting on what an attacker's issue told them to do.

Status: alpha. It has not had an independent security review. Read

the threat model, especially the part about where it runs.

The problem

An agent with GitHub access can read a malicious public issue, read a private repository, and post the contents in a public pull request. Each call looks allowed on its own, so per-tool permissions do not stop the sequence. This is the attack Invariant Labs published against agents using GitHub's MCP server, and repoward's test suite replays it against real repositories.

Flow guard

Before every write, repoward checks what this agent has already read, using facts from GitHub:

If the agent has readThen
Anything from a private repositoryWrites to public repositories are denied
An issue, pull request or comment from an author outside OWNER, MEMBER and COLLABORATOR, or a job logEach write needs human approval

This does not depend on the model noticing an attack or on scanning text, so rewording or encoding the data does not get around it. The state survives restarts, and no tool can clear it. A person can:

uvx repoward flow status

uvx repoward flow reset

What it does not do:

  • It only sees this server's tools. A shell, a browser or another MCP server is still a way out, so it protects agents whose GitHub access and outbound routes are limited to this server.
  • Data can stay in an agent's context after the window (60 minutes by default) ends. Restart a long-running agent to clear its context.
  • Reading one private repository and writing to another private repository is allowed, unless you set single_repo: true.
  • Repository files and code search results do not count as untrusted input, because they were merged by someone with write access.
  • author_association is a coarse signal, and a compromised trusted account counts as trusted.
  • Maintainers of public repositories will see more approval requests. That is the cost of the default, and trusted_associations is configurable.

Features

  • Policy: default-deny YAML with roles, repository allowlists and path denylists. See policy.example.yaml.
  • Single guarded path: every tool attempt, including unknown tools and invalid arguments, passes through one pipeline and is logged.
  • Audit log: a hash-chained record of every decision, with optional HMAC and checkpoints.
  • Rate limits: per principal and per tool.
  • Read tools: github_list_issues, github_get_issue, github_search_code, github_get_file, ci_get_status and ci_get_job_logs.
  • Write tools: github_create_branch, github_commit_files, github_create_pull_request and github_comment. Writes only reach branches with the configured prefix (agent/ by default), pull requests are draft only by default, commit sizes are limited, nothing is forced or retried, and text holding a recognizable credential is refused.
  • Dangerous tools: github_merge_pull_request and github_delete_branch need human approval. An approval covers one exact call at one exact commit, works once and expires. Merging is off until a policy turns it on.
  • GitHub App tokens (optional): each call gets a short-lived token limited to one repository and only the permissions that tool needs, and GitHub enforces those limits itself.
  • Pull request review as approval (optional): a merge can be approved by a real GitHub review of the exact commit.
  • Pull request receipts (optional): a commit status summarizing how the agent's run has gone.
  • Policy replay: see which past decisions a policy edit would change before you deploy it.
  • Untrusted content handling: text from GitHub users comes back wrapped in a tag with a random id per response, after invisible characters, hidden HTML comments and images are removed and secrets are redacted. This is a mitigation, not a guarantee: a model can still be fooled, which is why the rules above are enforced outside the model.

Who it is for

Agents whose only route to GitHub is this server, such as CI bots and hosted agents. An agent with shell access can run git or read local credentials directly, so this server is not a security boundary for it.

Install

Requires uv. Create a starter policy, which also prints a client config to paste:

uvx repoward init --repo your-org/your-repo

The starter policy gives the server read-only tools. Add --role contributor for write tools. Files live in ~/.repoward, or wherever REPOWARD_HOME points. An existing policy is never overwritten.

Run this first, because the server will not start without a policy. Then add it to your MCP client, and use a token set up as described in GitHub token. Avoid committing a config that holds a real token.

Claude Code

claude mcp add --env GITHUB_TOKEN=<your-token> --transport stdio repoward -- uvx repoward serve

Claude Desktop

In claude_desktop_config.json, under Settings > Developer > Edit Config:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": " " } } } }

Cursor

In ~/.cursor/mcp.json, reading the token from your environment:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "${env:GITHUB_TOKEN}" } } } }

VS Code

In .vscode/mcp.json or your user profile's mcp.json, which prompts for the token once:

{

"inputs": [ { "type": "promptString", "id": "github-token", "description": "GitHub token", "password": true } ], "servers": { "repoward": { "type": "stdio", "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "${input:github-token}" } } } }

Codex

In ~/.codex/config.toml, forwarding the token from your environment:

[mcp_servers.repoward]

command = "uvx" args = ["repoward", "serve"] env_vars = ["GITHUB_TOKEN"]

Gemini CLI

In ~/.gemini/settings.json, reading the token from your environment:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "$GITHUB_TOKEN" } } } }

OpenCode

In opencode.json in your project, or ~/.config/opencode/opencode.json, reading the token from your environment:

{

"mcp": { "repoward": { "type": "local", "command": ["uvx", "repoward", "serve"], "environment": { "GITHUB_TOKEN": "{env:GITHUB_TOKEN}" } } } }

Any other client that can launch a stdio MCP server runs the same command: uvx repoward serve.

If your client reports that the server failed to connect, run uvx repoward serve in a terminal to see why. The usual cause is that repoward init has not been run yet, so there is no policy.

Useful commands:

uvx repoward validate-policy

uvx repoward audit verify

Approving risky actions

A call that needs approval does not run. It returns an approval_id, and a person decides from a terminal:

uvx repoward approvals list

uvx repoward approvals show uvx repoward approvals approve

The agent then repeats the same call. Pushing new commits changes the commit the call names, so the old approval no longer applies, and GitHub refuses a merge whose head has moved.

Approving with a pull request review

A merge can also be approved by a normal GitHub review, so the approver needs their own GitHub identity and not just access to this machine. Turn it on in your policy:

approvals:

github_review: { enabled: true, min_permission: write }

A review counts only if it approves the exact commit being merged, comes from a user other than the pull request's author and this server's own identity, and that user has the required access. Any reviewer's outstanding request for changes blocks it. Each check is made again at merge time.

This needs the server to act as a GitHub App or a separate bot account. With your own token, your own reviews are refused. If an agent can reach the reviewer's GitHub credentials, such as a logged-in gh on the same machine, this protection is lost.

Limits of approvals

If the agent runs as the same OS user as this server and has a shell, it could run these commands or edit the database itself. Run the server and its files under a separate user or in a container for approvals to mean anything.

GitHub token

Use a fine-grained personal access token limited to the repositories you allow, with short expiry. Choose Only select repositories so that repository permissions appear. The read tools need these, all read-only:

PermissionUsed for
MetadataRequired by GitHub
Contentsgithub_get_file
Issuesgithub_list_issues, github_get_issue
Pull requestsPull requests in those same tools
Actionsci_get_status, ci_get_job_logs
Commit statusesci_get_status

To use the write tools, also give it read and write access to Contents, Issues and Pull requests. Leave the Workflows permission off: GitHub then refuses workflow file changes even if your policy allows the path.

Contents: write lets a token push to any branch and merge, and GitHub cannot limit it to agent/ branches. That limit lives in this server, so also protect your default branch with a ruleset that requires pull requests and has no bypass for the token's owner. If the token leaks or the server is misconfigured, that ruleset still holds.

Limits to know about:

  • ci_get_status does not show third-party checks reported only through the Checks API, which GitHub documents as unavailable to fine-grained tokens.
  • github_search_code covers the default branch and files under 384 KB. New repositories can return nothing until GitHub indexes them, and its handling of real results has so far only been tested against simulated responses.
  • github_get_file refuses symlinks, submodules, binary files and files over 1 MB. It walks the Git tree, so each read makes one request per folder in the path.
  • ci_get_job_logs fails closed if GitHub moves log storage to a host it does not recognize.
  • github_merge_pull_request does not support merge queues or stacked pull requests.
  • github_delete_branch checks the commit and then deletes, because GitHub has no conditional delete, so a small window remains between the two.
Using a GitHub App instead

A GitHub App gives each tool call its own short-lived token, limited to one repository and that tool's permissions. The App also has its own identity, which review approvals need.

Register an App with webhooks off and only the permissions you need, then install it on the repositories in your policy, and generate a private key:

PermissionLevelUsed for
ContentsRead, or write for write toolsFiles, search, branches, commits, merges
IssuesRead, or write for commentsIssues and comments

| Pull requests | Read, o

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

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