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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

capx café

作者:vb-tyagi版本 0.1.3i★ –i在你的电脑上运行
注册名称io.github.vb-tyagi/capx-cafe

安装

概览

作者提供的说明(英文原文)

Agent-native X (Twitter) posting as one MCP server; every post clears a server-side guardrail.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:CAPX_CHOKEPOINT_URL, CAPX_EMAIL

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
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: CAPX_CHOKEPOINT_URL, CAPX_EMAIL, CAPX_LANE, X_CLIENT_ID

你需要

  • 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 …”。

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

{
  "mcpServers": {
    "capx-cafe": {
      "command": "npx",
      "args": [
        "-y",
        "capx-cafe"
      ],
      "env": {
        "CAPX_CHOKEPOINT_URL": "your-value",
        "CAPX_EMAIL": "your-value",
        "CAPX_LANE": "your-value",
        "X_CLIENT_ID": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add capx-cafe --env CAPX_CHOKEPOINT_URL=your-value --env CAPX_EMAIL=your-value --env CAPX_LANE=your-value --env X_CLIENT_ID=your-value -- npx -y capx-cafe

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": {
    "capx-cafe": {
      "command": "npx",
      "args": [
        "-y",
        "capx-cafe"
      ],
      "env": {
        "CAPX_CHOKEPOINT_URL": "your-value",
        "CAPX_EMAIL": "your-value",
        "CAPX_LANE": "your-value",
        "X_CLIENT_ID": "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": {
    "capx-cafe": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "capx-cafe"
      ],
      "env": {
        "CAPX_CHOKEPOINT_URL": "your-value",
        "CAPX_EMAIL": "your-value",
        "CAPX_LANE": "your-value",
        "X_CLIENT_ID": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • CAPX_CHOKEPOINT_URL 必填 env
    URL of the hosted capx chokepoint that enforces the server-side guardrail on every post
  • CAPX_EMAIL 必填 env
    Whitelisted user email used to authenticate to the chokepoint
  • CAPX_LANE env
    Connection lane: 'byo' (bring your own X app) or 'capx-app' (capx-managed app)
  • X_CLIENT_ID env
    X (Twitter) OAuth client ID; required only on the BYO lane

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 vb-tyagi 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2969 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2969 个服务器的 31% 更新
  • 基础检查结果等于或优于此分类中其他 2969 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

capx café 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:CAPX_CHOKEPOINT_URL, CAPX_EMAIL

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.3)于2个月前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT9天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10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。

capx café

The safe way to let your AI run your X.

One MCP server. Your X token never touches the agent — and every post clears an enforced guardrail before it ships.

*The guardrail, live — every verdict above is produced by the real chokepoint code (pnpm demo replays it).*


capx café is an agent-native X poster that installs as one MCP server into any coding agent (Claude Code /

Cursor / Codex / Windsurf). A whitelisted user connects their X account once; after that they create /

schedule / post from inside their agent session. The whole product rests on one security thesis: the X

token, the guardrail (casserole), and the send are one inseparable server-side unit — the agent on

your laptop only ever holds a short-TTL session handle, never the token. That's why it structurally can't be

prompt-injected into tweeting a scam. "The AI writes; casserole decides what ships."


Why it's different

Every other "let your AI post" tool has the same flaw: to let an agent post, you paste your X token into a plaintext config right next to an autonomous agent that reads untrusted web pages, issues, and code. One prompt-injection and your account tweets a scam. capx café is the only one that structurally can't be.

  • 🔒 Your X token never touches your machine. OAuth completes on capx café's hosted callback; the token lives encrypted in a server-side vault. Your agent holds only a short-TTL, revocable session handle.
  • 🛡️ casserole — a *deterministic (non-AI)* six-layer guardrail — runs server-side at the only door to X and checks every post. A blocked post never even decrypts your token (proven by an adversarial test suite).
  • 🔗 The token, the guard, and the send are one unit. Skip the plugin and call the server directly — you still hit the guard. The client's checks are cosmetic; the server's are load-bearing.
  • ✍️ capx generates nothing. *Your* agent's model writes; capx ships what clears the guard.

→ Full threat model, architecture & the "what we can/can't see" table: [docs/SECURITY.md](docs/SECURITY.md)

How it works

flowchart LR

subgraph M["🖥️ your machine · untrusted"] A["agent model writes the draft"] S["capx skills"] C["capx MCP client holds a session handle · NO token"] end subgraph K["🔒 capx chokepoint · hosted · AGPL-3.0"] AD["admission allowlist · kill-switch"] CAS["casserole 6-layer guardrail"] V["vault the token lives here"] XA["x-adapter the only egress"] end X["🐦 X · /2/tweets"] A --> C S --> C C -->|"short-TTL handle crosses — never the token"| AD AD --> CAS CAS -->|PASS| V --> XA --> X CAS -.->|blocked / held| C

The token, the guardrail, and the send live together behind a trust boundary; your agent can only *ask*.

The guardrail: casserole

Six deterministic layers on every post. Worst result wins — pass / rewrite / hold / block — and a blocked post never even decrypts the token.

flowchart TD

D["draft"] --> AD{"admitted? allowlisted · not killed"} AD -->|no| R["rejected"] AD -->|yes| CAS["casserole L1 eligibility · L2 rate · L3 anti-slop L4 authenticity · L5 kill-switch · L6 audit"] CAS --> VER{"verdict"} VER -->|block| B["blocked — never sent 🔒 token never decrypted"] VER -->|hold| H["held for your review"] VER -->|rewrite| RW["ask the agent to fix"] VER -->|pass| SEND["vault → x-adapter → X ✅"]

60-second quickstart

npx -y capx-cafe          # runs the MCP server — add it to your agent's MCP config

Then, inside your agent:

"connect my X account"              → opens a browser once; the token stays on the server

"post: shipping the thing today" → clears casserole, or tells you exactly why not "turn my last week of commits into a build-in-public thread" → drafts + queues it

Set CAPX_EMAIL (your whitelisted email) and, for the BYO lane, X_CLIENT_ID (your own X app) in ~/.capx/config.json or your agent's MCP env. A guided setup page hands you the exact callback URL to paste.

Install matrix
AgentHow
Claude Code/plugin marketplace add vb-tyagi/capx-cafe → /plugin install capx-cafe (MCP + slash commands + skills)
Cursoradd to .cursor/mcp.json; skill rules in plugins/capx-cafe/adapters/cursor/
Codexadd to your MCP config; prompt pack in plugins/capx-cafe/adapters/codex/
Windsurfadd to MCP config; workflows in plugins/capx-cafe/adapters/windsurf/
Any MCP agentpoint it at npx -y capx-cafe
Docker Desktopdocker mcp catalog pull ghcr.io/vb-tyagi/capx-catalog:latest → MCP Toolkit → enable capx café

What your agent can do

ToolWhat it does
connect_xOne-time browser OAuth — the token lands in the server vault, never on your machine
post_nowPost now (clears casserole first). Supports reply-chains and media
previewDry-run a draft through the guardrail without sending — pass / hold / block + why
auditThe durable record of what capx posted or attempted on your behalf, and its state
create_loop · list_loops · …Scheduled posting — a queue you wrote, sent on a schedule, laptop-off
upload_mediaStream a local image/video to X and attach it (media you made with your own tools)
whoamiThe connected account + its status

Skills — your work becomes your content

capx lives inside a *coding* agent, so it has what no social scheduler does: your repo, commits, PRs, releases. Skills turn that into posts — automatically, and always through the guardrail.

flowchart LR

G["git commits"] --> BIP["build-in-public drafts a week of posts"] BIP --> Q["loop queue"] Q -->|"1/day · laptop-off"| POST["posted to X"] Q -.->|"runs low"| GAP["gap-alert"] GAP -.->|"top up from new commits"| BIP

The self-refilling content engine: you code → commits accrue → the loop drains as it posts → gap-alert tops it up from the *new* commits. Your normal work *is* the pipeline.

  • 🏆 build-in-public · ship-note · changelog-thread · repurpose (blog/README → thread) · launch-thread · til · fix-note
  • voice-match (sound like you) · draft-review (lint against the guard) · thread-builder · hook-rewrite
  • best-time · cadence-planner · gap-alert · audit-trail · connection-health · quickstart · self-host-guide
  • Media directors — image-director, video-director, prompt-engine, model-guide: capx runs no models; it guides *your* image/video tools (higgsfield, fal, kling, …) and uploads the result. casserole guards your caption; you own the media.

*One canonical SKILL.md per skill, generated for all four agents. capx never writes the content — it makes good content easy and stops bad content regardless of which skill produced it.*

Two lanes

  • BYO — bring your own X developer app. You're X's customer and pay X directly — since Feb 2026 that means pre-loading credits (no free X tier for new apps) at ~$0.015/post, $0.20 if the post contains a link. Free on capx café's side; heavy users can self-host the identical image.
  • capx-app (creator lane) — post through capx café's shared X app, no developer account needed. Opening as a paid beta (waitlist): Short $5 / Tall $15 / Grande $35 monthly tiers + top-up packs, quotas enforced server-side at the gate. Full sheet + the math: [docs/ECONOMICS.md](docs/ECONOMICS.md) · policy posture: docs/X-COMPLIANCE.md.

Self-host

The chokepoint is open source (AGPL-3.0). Run the identical image with your own X app, keys, database, and domain — CAPX_DEPLOY_MODE=self-host, zero telemetry to capx. See the self-host-guide skill and docs/HANDOFF.md.

Licensing

MIT for the client and everything it bundles (apps/capx-mcp, core, config, platform-client) plus skills & docs. AGPL-3.0 for the server half (the chokepoint + casserole/captain/counter/canteen/ chef). Full map: [LICENSING.md](LICENSING.md).

Status

Private alpha, whitelist-only. The first real post shipped 2026-07-19 — guardrail-cleared, token never on the machine. Not yet open for public signups.

Dev

Node ≥ 22.6 (TypeScript runs natively via --experimental-strip-types — no build step). pnpm run verify = unit tests across packages / services / apps + tsc. Contributions accepted under the project CLA.

capx café · security · architecture · license

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