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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

AiNecto

作者:codelives版本 0.13.1i★ 0i电脑或云端
注册名称com.ainecto/mcp

安装方法

What it does

Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.

  • Connects 电脑或云端
  • Account or key Cloud: Sign in to the service when you connect (OAuth) · Local: No key needed
  • Category 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

通过 4/5 项检查 · 你的提问会经过开发者的服务器(ainecto.com) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  2. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称AiNecto
    Remote MCP server URL · 地址https://ainecto.com/mcp

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  3. 在聊天中开启

    +ConnectorsAiNecto

  4. 试一试

    用 AiNecto 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 AiNecto,或回答中出现 AiNecto 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

仅企业版 ChatGPT 可连接

适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称AiNecto
    Connection · 地址https://ainecto.com/mcp
  3. 在聊天中选择 AiNecto

    开启新聊天,输入前先从插件列表中选择 AiNecto

  4. 试一试

    用 AiNecto 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 AiNecto,或回答中出现 AiNecto 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user ainecto https://ainecto.com/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 AiNecto 在列表中并显示已连接

  4. 试一试

    用 AiNecto 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 AiNecto,或回答中出现 AiNecto 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 AiNecto 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 AiNecto,或回答中出现 AiNecto 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 AiNecto 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 AiNecto,或回答中出现 AiNecto 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://ainecto.com/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 AiNecto 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user ainecto https://ainecto.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ainecto": {
      "url": "https://ainecto.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ainecto": {
      "type": "http",
      "url": "https://ainecto.com/mcp"
    }
  }
}

安装在电脑上

Claude Code

claude mcp add --scope user ainecto -- npx -y @ainecto/mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "ainecto": {
      "command": "npx",
      "args": [
        "-y",
        "@ainecto/mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ainecto": {
      "command": "npx",
      "args": [
        "-y",
        "@ainecto/mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ainecto": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ainecto/mcp"
      ]
    }
  }
}

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。

一览

每周下载量i
1,239/周
已验证域名
✓ ainecto.com
许可证i
未注明许可证
连接方式
电脑或云端
传输方式
stdio, streamable-http
最新版本i
0.13.1
发布到注册中心i
2026年11月7日
代码最后更新i
2026年11月7日
作者
codelives
软件包
npm: @ainecto/mcp
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

服务器要求先登录,才会列出它的工具。

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13日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 ainecto.com 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于6天前

  • ✕ 未通过

    有许可证

    仓库中没有找到许可证文件

  • ✓ 通过

    端点有响应

    在 263 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

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用 Google 登录后写评价

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2978 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2978 个服务器的 85% 更新
  • 基础检查结果等于或优于此分类中其他 2978 个服务器的 56%

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

AiNecto 安全吗?

它在 5 项适用的基础检查中通过了 4 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

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6天前,最新版本(0.13.1)于6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,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:Figma Context MCP, AutoClip, Next AI Draw.io

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 15.2万/周★ 1.6万5个月前更新

在你的电脑上运行

AutoClip

Clip long videos into short clips with covers and captions. Local CLI and MCP.

作者:zhouxiaoka广泛使用↓ 205/周★ 1万16天前更新

在你的电脑上运行

Next AI Draw.io

draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand

作者:DayuanJiang广泛使用↓ 2.2万/周★ 3.7万 整个仓库的星标6天前更新

在你的电脑上运行

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。

ainecto — AiNecto CLI and MCP connector

Published as ainecto, @ainecto/mcp and @ainecto/cli — the same code. Command: ainecto.

Once per machine: npx -y ainecto@latest setup — signs you in through the browser (once), checks the connection, and connects Claude Code, Cursor, and Codex to the AiNecto server address (https://ainecto.com/mcp). Each agent then signs in to AiNecto by itself the first time it connects.

Every AI session sees the same AiNecto tools. What a tool may change is decided by your AiNecto permissions on the workspace, project, or document it touches — the server refuses the rest. There are no session roles (Design / Development / Test / Validation were removed in 0.8.0).

For AI agents

Run `npx -y ainecto@latest setup` (use a long command timeout — at least 6 minutes: sign-in waits up to 5 minutes for the user). Then run `npx -y ainecto@latest doctor` and do what it says.

  • setup registers the server address, so each agent signs in on its own the first time: Claude Code — run /mcp in a session and sign in to ainecto; Cursor — sign in when ainecto asks in its MCP settings; Codex — signs in while setup connects it (a browser tab opens and the sign-in link is printed to stderr; if it did not finish, run codex mcp login ainecto).
  • To add AiNecto's working rules to a repository, run npx -y ainecto@latest init from its root. It does not ask for a role or a project.
  • A server added during a session is not available in that session. Keep working through the CLI: npx -y ainecto@latest tools list and npx -y ainecto@latest tools call ' '. A new session loads the MCP tools.
  • If a result names a tool that is not in your tool list, the session started before that tool was added — start a new session or call it through the CLI as above.
  • Claude Code's auto mode may block running an external package with npx. If it does, ask the user to allow the command.
  • ChatGPT, Claude and other apps: see https://ainecto.com/docs/get-started/connect-your-agent/

Set up this machine

npx -y ainecto@latest setup              # sign in, check, connect Claude Code · Cursor · Codex

npx -y ainecto@latest setup --dry-run # show what it would do — no sign-in, no changes npx -y ainecto@latest setup --local # connect through the local relay instead (see below) npx -y ainecto@latest setup --undo # remove the connections setup made (sign-in stays) npx -y ainecto@latest status # who is signed in, your AiNecto role, what is connected npx -y ainecto@latest doctor # what is missing, and the one command that fixes each item

setup connects each client separately and reports connected, updated, kept (someone else's ainecto entry, left untouched), not installed, or failed; if any client fails it says «partial» and exits 1:

  • Claude Code — claude mcp add --transport http -s user ainecto https://ainecto.com/mcp (user scope). Sign in with /mcp in a session.
  • Cursor — merges "ainecto": { "url": "https://ainecto.com/mcp" } into ~/.cursor/mcp.json, keeping your other servers. Cursor asks you to sign in from its MCP settings.
  • Codex — codex mcp add ainecto --url https://ainecto.com/mcp. Codex starts its sign-in right away (a browser tab opens; setup passes Codex's output, with the sign-in link, through to stderr). If that did not finish within 90 seconds, Codex shows as failed but stays connected — run codex mcp login ainecto (re-running setup says the same).

With --env dev (or --endpoint) the address is that environment's. The server address has no version to pin: a server update reaches every agent at once. Entries an older setup wrote (npx -y @ainecto/mcp@ , with or without --role) are rewritten to the server address when you re-run setup; setup --undo removes either kind.

setup --local registers the local relay instead — npx -y @ainecto/mcp@ (stdio, pinned to the CLI version), which uses this machine's one ainecto sign-in for every agent. Use it only when an agent cannot sign in to the server address by itself; running setup again without --local moves back to the server address.

Your AiNecto role (your job, set in AiNecto's account settings) is shown by setup and status; AI uses it to pitch explanations — it does not change permissions.

Set up a repository (optional)

npx -y ainecto@latest init               # .ainecto/HARNESS.md, an AGENTS.md block (and CLAUDE.md if present), .ainecto/config.json

npx -y ainecto@latest init --mcp # also .mcp.json (Claude Code) and .cursor/mcp.json (Cursor), with the server address npx -y ainecto@latest init --mcp --local # the same files with the local relay instead npx -y ainecto@latest init --dry-run # the same plan, nothing written npx -y ainecto@latest init --undo # remove what init wrote npx -y ainecto@latest init --agent tester # name the agent working in this folder (see below)

  • --agent names the agent that works in this folder. It writes the name to .ainecto/agent.local (keep it out of git) and puts it in .mcp.json, .cursor/mcp.json and .codex/config.toml — the server address entries get the header X-AiNecto-Agent-Name, the local relay gets --agent . Re-running init keeps the name. ainecto tools call … run in this folder sends the same name. The server checks the name; a name it refuses stops init before any file is written. .codex/config.toml is written only when it does not exist yet (or init wrote it); Codex reads it only in a trusted project.
  • init fetches the rules from the server — --dry-run too, so the plan is the real one. If it cannot (not signed in, offline), it says which files would get this package's default text instead.
  • If this machine is not signed in yet, init opens the browser once (--dry-run never does). The sign-in URL is printed first (with --json, as one JSON line on stderr: {"event":"login_url","url":…}).
  • It stops when run from a sub-folder of a git repository, and tells you the root.
  • --mcp writes the server address, like setup: .mcp.json gets "ainecto": { "type": "http", "url": "https://ainecto.com/mcp" } (Claude Code needs the type) and .cursor/mcp.json gets "ainecto": { "url": "https://ainecto.com/mcp" }. Each agent signs in by itself the first time. --local writes the pinned local relay instead (see Connector Mode).
  • Repositories set up earlier (.mcp.json with npx -y @ainecto/mcp…, with or without --role): re-run npx -y ainecto@latest init. It rewrites the existing ainecto entry to the server address (or, with --local, to the relay pinned to this version without --role), and drops the old project field from .ainecto/config.json (unless you changed it). An ainecto entry pointing somewhere else is left alone. Until then the old entry keeps working: --role is accepted and ignored. Old flags (--role, --project, --project-name, --yes) are ignored with a one-line note.

Commands

Prefer npx -y ainecto@latest . To install once instead, use npm install -g ainecto — but install only one of ainecto, @ainecto/mcp and @ainecto/cli globally: they are the same code and all ship the ainecto command, so a second global install conflicts. (@ainecto/mcp also carries mcp, the bridge.)

ainecto auth login          # once per machine (and per --env) — `setup` does this for you

ainecto auth status ainecto auth logout

ainecto tools list ainecto tools call list_projects --json ainecto tools call erd_apply_changes -f changes.json --json cat payload.json | ainecto tools call erd_apply_changes --json

ainecto projects list ainecto erd apply-changes -f erd-operations.json --yes

Tool names are the server's own names (list_projects, erd_apply_changes, …). Your AI client shows them with its own prefix, for example mcp__ainecto__list_projects in Claude Code; the CLI does not use that prefix. A tool name that starts with the server's older mcp__ainecto__ prefix is still accepted.

Every command takes --env dev for https://dev.ainecto.com/mcp. Endpoint resolution priority:

  1. --endpoint
  2. AINECTO_MCP_ENDPOINT
  3. --env dev
  4. production default, https://ainecto.com/mcp

Endpoint URLs must use https:. Plain http: is accepted only for localhost loopback targets such as 127.0.0.1. When AINECTO_TOKEN is set, the CLI only sends it to the default prod/dev endpoints unless AINECTO_ALLOW_CUSTOM_ENDPOINT_TOKEN=1 is set for an explicitly trusted custom endpoint.

The commands are ainecto and mcp (which npx -y @ainecto/mcp runs). The AINECTO_* environment variables above are the only names for those settings — do not guess another prefix.

Generated Friendly Commands

Every checked-in generated catalog tool is reachable through its deterministic command path. Scalar schema fields are exposed as flags, with both kebab-case and schema-case accepted:

ainecto documents list --project-uuid <projectUuid>

ainecto documents list --projectUuid

Array or object payloads use the first-party CLI JSON payload reader:

ainecto documents create -f create-documents.json

cat erd-operations.json | ainecto erd apply-changes --json

Destructive generated commands prompt in human mode unless --yes is supplied. In --json mode they fail with a structured error unless --yes is present.

Attachment file upload is available through a bespoke command that performs the upload-token, raw PUT, and attachment registration flow:

ainecto attachments upload --document-uuid <documentUuid> ./diagram.png ./notes.pdf

The generated request_upload_token and upload_attachments paths remain raw MCP argument-contract commands and do not read local files.

Inbox polling — for a scheduler (cron, launchd) that wakes an agent only when something is new. Exit codes: 0 new items, 3 nothing new, 1 error, 2 usage error. notifications poll saves the batch to the cursor file before printing it and prints the same batch again until notifications ack (run it only after the agent handled the batch). agent-todos poll --only-new exits 0 only for to-dos it has not seen before (kept in the seen file). Both take --workspace and --project , each repeatable: any of the given workspaces AND any of the given projects. Each filter is its own notification stream, so use one cursor file per filter.

ainecto notifications poll --direct-only --cursor-file ~/.ainecto/inbox.cursor --json > /tmp/inbox.json \

&& claude -p "Summarize these AiNecto notifications: $(cat /tmp/inbox.json)" \ && ainecto notifications ack --cursor-file ~/.ainecto/inbox.cursor ainecto agent-todos poll --only-new --seen-file ~/.ainecto/todos.seen --json > /tmp/todos.json \ && claude -p "Review these AiNecto to-dos and only summarize them: $(cat /tmp/todos.json)"

The server tools behind them (list_notifications, list_agent_todos, update_agent_todos, list_history) are generated commands too (ainecto notifications list, ainecto agent-todos list, ainecto agent-todos update -f …, ainecto history list) once the server exposes them.

Terminal Sessions

ainecto term keeps terminal sessions running after you close the terminal window — no tmux or cmux needed. A background process, started on demand, owns each session and keeps its screen, so agents and scripts can type into a session and read its screen, and you can attach from any terminal app. It runs on this machine only; it does not use your AiNecto sign-in.

ainecto term new api --cwd ~/code/api -- claude   # start a session (without a command: your login shell)

ainecto term ls [--json] ainecto term send api "run the tests" # types the text, without Enter ainecto term key api enter

只显示了开头部分;其余内容请在仓库中阅读