原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Simple Commenter

作者:simple-commenter版本 1.5.0i★ –i电脑或云端
注册名称io.github.simple-commenter/mcp-server

安装

概览

作者提供的说明(英文原文)

Search, export, triage, and manage authorized website and asset feedback in Simple Commenter.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:SIMPLE_COMMENTER_API_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: SIMPLE_COMMENTER_API_TOKEN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://www.simplecommenter.com/api/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "simple-commenter": {
      "command": "npx",
      "args": [
        "-y",
        "@simple-commenter/mcp-server"
      ],
      "env": {
        "SIMPLE_COMMENTER_API_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http simple-commenter https://www.simplecommenter.com/api/mcp

或者在你的电脑上运行

claude mcp add simple-commenter --env SIMPLE_COMMENTER_API_TOKEN=your-value -- npx -y @simple-commenter/mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "simple-commenter": {
      "url": "https://www.simplecommenter.com/api/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "simple-commenter": {
      "command": "npx",
      "args": [
        "-y",
        "@simple-commenter/mcp-server"
      ],
      "env": {
        "SIMPLE_COMMENTER_API_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "simple-commenter": {
      "type": "http",
      "url": "https://www.simplecommenter.com/api/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "simple-commenter": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@simple-commenter/mcp-server"
      ],
      "env": {
        "SIMPLE_COMMENTER_API_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://www.simplecommenter.com/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SIMPLE_COMMENTER_API_TOKEN 机密 env
    Integration token from project MCP settings; alternatively authenticate with the local init wizard.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 simple-commenter 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7234 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7234 个服务器的 77% 更新
  • 基础检查结果等于或优于此分类中其他 7234 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Simple Commenter 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:SIMPLE_COMMENTER_API_TOKEN

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.5.0)于11天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

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

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Simple Commenter MCP Server

MCP server that lets AI clients read, search, export, and manage website and asset feedback from Simple Commenter. The same tool catalog powers local npm/stdio connections and the hosted HTTPS adapter.

Hosted connections

The hosted route is https://www.simplecommenter.com/api/mcp. It uses browser OAuth with selected-project grants and separate read, write, and settings scopes. Open MCP directly in a project's sidebar for connection status and setup. Hosted MCP is enabled by default when the application is deployed; MCP_ENABLED=false optionally disables it. The hosted application changes still need deployment and release validation; building this package alone does not deploy them.

Clients that support remote MCP can use the hosted route without installing this package. Local clients can continue using the npm setup below. Client support for interactive views and file uploads varies; every tool also returns text and structured data.

Prerequisites

Before using the MCP server, you need a Simple Commenter account with at least one project configured:

  1. Sign up at simplecommenter.com
  2. Create a project in the dashboard and add your website domain
  3. Install the widget on your site (script tag or browser extension)

The connection can read only projects permitted by its grant. Administrative clients with an account-wide settings grant can also create projects; local setup can select a default after the first project exists.

Quick Start

npx @simple-commenter/mcp-server init

The setup wizard will:

  1. Authenticate with your email + a 6-digit code
  2. Let you pick a default project
  3. Configure status preferences for AI workflows
  4. Auto-create a .mcp.json in your project root

Restart your AI tool and the MCP server is connected.

Note: npm install only downloads the package — it does not touch

.mcp.json. The .mcp.json entry is written by init (it doesn't know which

project folder to register otherwise). If you registered the server in a global

config (e.g. ~/.claude.json) instead, an empty or missing project .mcp.json

is expected and doctor will only show it as a warning.

Verify your setup
npx @simple-commenter/mcp-server doctor

Checks Node.js version, config, and API connectivity (hard checks), and notes the .mcp.json state as a warning if the server isn't registered in the project file.

Available Tools

ToolDescription
get_connection_infoRefresh account, plan, granted permissions, and connection context
list_projectsList projects authorized for this connection
get_project_contextRead current statuses, tags, workflow settings, and project links
list_commentsList website or asset feedback in one project, with filters and pagination
get_commentFull detail — DOM element XPath, screenshot, click position, replies, and the brief (AI-written developer brief: title, summary, suggested fix)
update_comment_statusMark as in_progress, done, etc.
update_commentSet status, priority, replacement tags, visibility, or archive/restore state
reply_to_commentReply with text and authorized upload references
prepare_attachment_uploadPrepare a private, expiring signed upload for a reply attachment
create_commentFile new feedback on a page after reviewing it yourself
search_commentsSearch across authorized projects by text, dates, author, status, tags, or website/asset source
search, fetchRetrieve citable feedback sources for knowledge workflows
export_commentsDownload a complete filtered CSV with attachment links and an expiring URL
feedback_reportObtain complete feedback counts and breakdowns, plus a report artifact
bulk_update_commentsApply bounded triage changes to up to 100 explicit items, with per-item results
create_projectCreate a project with an account-wide administrative grant
get_project_settings, update_project_settingsInspect and edit supported non-secret project settings
list_team_members, add_team_memberList team members or add a team-role member without sending email
assign_team_member, remove_team_memberManage project assignments or revoke workspace membership
start_task, get_task, list_tasks, cancel_taskStart and manage durable export/report jobs

Comment and reply text uses Markdown Lite: **bold**, `code` and lines starting with - (bullets) are rendered; nothing else is. reply_to_comment and create_comment may use those markers.

create_comment takes a page path (e.g. /pricing) and text. To pin the comment to a specific element on the page, pass anchor_selector (a CSS selector — preferred) or anchor_text (the element's exact, full visible text) with anchor_tag. Without an anchor it becomes a page-level comment: it shows in the dashboard and in the widget's feedback list, just without an on-page pin. The init wizard asks whether the AI may create comments and replies. Disabled actions are rejected by the local adapter, including direct tool calls. Hosted access is controlled by OAuth scopes and granted projects. Status suggestions guide the workflow; they do not grant additional permission.

All tools validate arguments and return machine-readable structuredContent with a JSON text fallback. Write annotations identify actions that change feedback or account access. Custom status choices come from the selected project's current context, so switching projects does not reuse an outdated default enum.

Search, export, and reports

search_comments, export_comments, and feedback_report accept project_id or project_ids, text (query or search), status, priority, tags, slug, created_after, created_before, author, include_archived, and source (all, website, or asset). Creation timestamps use ISO 8601 with a timezone. Search results paginate with limit (1–100) and offset; reports and exports cover the complete filtered result set instead of only the current page.

search accepts a query and returns source IDs, titles, and URLs. Pass one of those IDs to fetch; it does not retrieve arbitrary remote URLs.

Use start_task with operation: "export_comments" or "feedback_report", filter arguments, and an idempotency_key for long jobs. Poll get_task at the returned interval. Jobs are durable service records accessed through ordinary tools; this server does not advertise the experimental MCP protocol tasks capability.

Safe writes and attachments

New project/member creation, bulk updates, and job creation require an idempotency_key. Use the same key and identical arguments for a retry. The original create/reply/update tools accept keys without requiring them for older clients. If a write without a key times out, inspect the data before retrying.

For reply attachments, call prepare_attachment_upload with a project, filename, MIME type, and exact byte size. Upload the file bytes with an HTTP PUT to the returned signed URL using its required headers, then pass attachments: [{ "upload_id": "returned-id" }] to reply_to_comment. The service verifies ownership and completion. Your client must be able to upload file bytes; this tool does not import remote URLs or access local files itself.

Resources, workflow prompts, and interactive views

Resources expose the current connection, authorized projects, project context, comment detail, and job progress through simplecommenter:// URIs. Discover the exact resource templates through resources/templates/list.

The prompts triage_feedback, release_report, and investigate_comment load authorized project context and provide source-based workflows. They do not perform writes merely because the prompt was selected.

An optional MCP Apps resource, ui://simplecommenter/feedback.html, provides search and pagination inside compatible hosts. It uses the host's MCP bridge, loads no external scripts or fonts, and performs only read operations. Clients without interactive views receive the same feedback as text and structured data.

Embedding the server

import { createMcpServer } from "@simple-commenter/mcp-server/src/server.js";

const server = createMcpServer({ client: { mcpOperation: (operation, args) => authorizedOperations(operation, args), }, defaultProjectId: null, connectionContext: { transport: "streamable-http" }, }); await server.connect(transport);

Create a server with a request-scoped authenticated client for each hosted request. The factory never reads the user's home directory or local token configuration. Authorization must remain enforced by authorizedOperations; tool annotations and default project selection do not enforce access control. The implementation is pinned to official MCP SDK 1.30.0.

Typical Workflow

Ask your AI agent:

"Check Simple Commenter for open feedback and fix the issues"

The agent will:

  1. Call list_projects to find your project
  2. Call list_comments with status=todo to get open issues
  3. Call get_comment on each to see the element, screenshot, and page URL
  4. Mark comments as in_progress while working
  5. Fix the code
  6. Reply with what was fixed
  7. Mark as done

CLI Commands

simple-commenter-mcp init      # Setup wizard — login + pick project

simple-commenter-mcp serve # Start MCP server (default, used by AI tools) simple-commenter-mcp doctor # Health check — verify setup + connectivity simple-commenter-mcp status # Show account info + projects simple-commenter-mcp reset # Remove config + .mcp.json (clean slate)

login and logout still work as aliases for init and reset.

If not installed globally, prefix with npx @simple-commenter/mcp-server instead.

Changing Your Default Project

To switch to a different project, run init again:

simple-commenter-mcp init

This re-runs the full setup wizard and lets you pick a new default project and preferences.

For a clean start, reset first:

simple-commenter-mcp reset

simple-commenter-mcp init

reset removes your saved config and .mcp.json, so you start fresh.

Configuration

.mcp.json (auto-created by init)
{

"mcpServers": { "simple-commenter": { "command": "simple-commenter-mcp", "args": ["serve"] } } }

Environment variable (CI/Docker)
{

"mcpServers": { "simple-commenter": { "command": "npx", "args": ["@simple-commenter/mcp-server", "serve"], "env": { "SIMPLE_COMMENTER_API_TOKEN": "your-token" } } } }

Authentication priority

The server checks for credentials in this order:

  1. --token CLI flag
  2. SIMPLE_COMMENTER_API_TOKEN environment variable
  3. ~/.simple-commenter/config.json (from init command)

Troubleshooting

Run doctor to diagnose common issues:

simple-commenter-mcp doctor

Common issues:

CheckFix
Config file not foundRun simple-commenter-mcp init
No authentication tokenRun init or set SIMPLE_COMMENTER_API_TOKEN
API connection failedCheck your internet connection; verify the API URL with --api-url
No default project setRun init and select a project
.mcp.json not foundRun init from your project root (where package.json or .git is)
.mcp.json doesn't reference simple-commenterRun reset then init to recreate it

Security

  • Credentials are stored in `~/.simple-commenter/config.jso

只显示了开头部分;其余内容请在仓库中阅读

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