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

SandBase

by sandbaseaiversion 0.1.17i★ –iRuns in the cloud
Registry nameio.github.sandbaseai/cli

Install

Overview

Description from the maker (original English)

Connect MCP clients to 2,000+ AI models without managing provider API keys.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Other
  • You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: Authorization

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

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http cli https://sandbase.ai/v1/mcp --header 'Authorization: your-value'

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": {
    "cli": {
      "url": "https://sandbase.ai/v1/mcp",
      "headers": {
        "Authorization": "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": {
    "cli": {
      "type": "http",
      "url": "https://sandbase.ai/v1/mcp",
      "headers": {
        "Authorization": "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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • Authorization secret required HTTP header
    Bearer credential issued by the SandBase browser sign-in flow

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sandbaseai, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32398 servers in this category
  • Published to the registry more recently than 31% of the other 32398 servers in this category
  • Basic checks equal to or better than 100% of the other 32398 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 SandBase 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: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.17) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AI Deprecations

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

AI Deprecations

by aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

Runs in the cloudUpdated today
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.

@sandbaseai/cli

Give your AI agent superpowers. One line. 2,000+ AI models and APIs. 100 free data API calls a day, then pay per call from one balance.

English | 中文 | 日本語 | 한국어 | Español | Français | Deutsch | Português


Your AI coding assistant is smart, but it's trapped in a box. It can't search the web, check social media, generate images, or access real-time data — unless you wire up each API yourself.

SandBase changes that. One command connects your agent to 2,000+ AI models and APIs through the Model Context Protocol. No API keys to manage. No configuration headaches.

Building directly over HTTP instead of MCP? Start with the SandBase API quickstart or compare the unified LLM, image, and video API with specialized model gateways.

Setup

Paste this into your agent and let it do the rest:

set up https://www.sandbase.ai/SKILL.md

It reads the SandBase Skill, runs connect itself, and asks you to approve one browser sign-in. Prefer to drive it yourself:

npx -y @sandbaseai/cli@latest connect

Or install the official Homebrew formula on macOS or Linux:

brew install sandbaseai/tap/sandbaseai-cli

sandbase connect

See the Homebrew launch announcement and macOS/Linux CI evidence.

Approve the browser authorization once; each supported client can then discover, inspect, and run available SandBase models and APIs through the local MCP bridge. Start a new session afterwards so the sandbase_* tools load.

Every GitHub release publishes its own SHA-256 next to the tarball, so you can pin and verify an exact build instead of tracking latest:

V=$(npm view @sandbaseai/cli version)

curl -fL -O "https://github.com/sandbaseai/cli/releases/download/v$V/sandbaseai-cli-$V.tgz" shasum -a 256 "sandbaseai-cli-$V.tgz" # compare against the checksum on the release page npx -y "./sandbaseai-cli-$V.tgz" connect

Want to inspect compatibility before signing in or changing configuration? The client catalog is a read-only command — it writes nothing and needs no account:

npx -y @sandbaseai/cli@latest catalog --json

A no-write catalog audit and a bounded doctor check against an empty isolated profile.

Homebrew users can run the same read-only check with sandbase catalog --json.

What It Costs

Price
Data APIs — search, social, scraping, e-commerce, finance100 free calls/day per organization, then paid per call (price shown by sandbase inspect)
Discovery, inspection, run status, balance, file uploadFree
Models — LLM, image, video, audioPaid per call or per million tokens

sandbase inspect always shows the current price before you run anything; data APIs covered by the daily allowance also show pricing.free_quota. The 100 free calls are shared across eligible data APIs and reset at 00:00 UTC; after that, calls are billed per call. sandbase balance --json shows today's remaining free calls as free_api_quota. Prices can change, so trust the live response over any example in this file.

Visit the official SandBase CLI project page for a compact overview. For a security-focused walkthrough of client detection, MCP tools, and rollback, read the 25-client SandBase CLI setup guide. AI agents and automated installers can use the concise llms-install.md instructions.

SandBase Open-Source Stack

  • [SandBase Harness](https://github.com/sandbaseai/sandbase-harness) — self-hosted agent runtime with persistent sessions, sandbox isolation, approvals, audit, and replay.
  • [SandBase Agent Skills](https://github.com/sandbaseai/sandbase-skills) — 88 installable Skills for research, social intelligence, marketing, and business workflows.
  • [SandBase for Codex](https://github.com/sandbaseai/sandbase-codex-plugin) — official Codex plugin packaging the SandBase MCP bridge and guided Agent Skill; its required HOL security scan passes on main.

Discover the authenticated remote bridge in the official MCP Registry, read its Registry community showcase, or find it through Chinese Independent Developer, Awesome MCP, Glama, TensorBlock MCP Index, MCPRepository, VaultPlane, AIMCP, MCP Server Hub, MCP Server Spot, or the Awesome AI API Proxy. External maintainers have merged SandBase into Awesome Codex CLI, Awesome Agent Skills, and Awesome MCP Server. The Hermes integration is independently listed in the Hermes Atlas ecosystem catalog and as beta in Awesome Hermes Agent. Install its verified sandbase Agent Skill from skills.sh, the sandbaseai/cli/sandbase listing on SkillsCat, the sandbaseai/cli/sandbase listing on skills.re, the 93/100 verified SandBase listing on vSkill, the security-audited SandBase listing on Skillstore, or the versioned sandbaseai/sandbase snapshot on Agent Skill Hub.


A Verifiable Agent Workflow

After connecting, ask your agent to follow the same inspectable sequence for search, data APIs, language models, image generation, video generation, and other catalog capabilities:

  1. Use sandbase_discover to find candidates by task or capability.
  2. Use sandbase_inspect to read the current input schema, pricing, and execution requirements.
  3. Confirm the selected endpoint and parameters before calling sandbase_run. Data APIs include 100 free calls per organization per UTC day, then are billed per call like models; confirm the cost shown by sandbase_inspect before paid runs.
  4. For asynchronous work, use sandbase_run_get with the returned run_id instead of creating a duplicate run.
  5. Use sandbase_runs to review recent run status and recorded cost.
  6. Use sandbase_account to check the current account balance.

For example, start with a non-billable discovery request:

Find image models suitable for a square product illustration. Compare the

required inputs and current pricing for the best two candidates. Do not run

either model yet.

Discovery and inspection never cost anything, so an agent can always survey the catalog before it spends.

After reviewing the live response, explicitly approve the endpoint and inputs you want to run. Catalog entries, schemas, pricing, latency, and availability can change, so use the tool response from the current session rather than a static example.

See the complete Claude Code and Codex walkthrough or the Chinese workflow guide. For a live catalog example, read the GitHub connector discover-and-inspect dogfooding note.


What's Inside

CategoryToolsWhat You Can Do
Web SearchGoogle, Exa, Tavily, ScholarResearch anything in real-time
Social MediaTwitter/X, YouTube, Reddit, Instagram, TikTok, Xiaohongshu, Weibo, BilibiliMonitor trends, pull posts, analyze content
ScrapingFirecrawl, Exa ContentExtract data from any public webpage
AI ModelsGPT-4o, Claude, Gemini, DeepSeek, Qwen, LlamaRun any model without managing keys
Image GenFlux, DALL-E, Ideogram, RecraftCreate logos, illustrations, mockups
Video GenKling, MiniMax, Runway, LumaGenerate short clips and animations
AudioElevenLabs, WhisperText-to-speech, transcription
E-commerceTaobao, AmazonProduct research, price comparison
FinanceStock data, company infoMarket research and analysis

Supported Clients (25 Targets)

Works with every major AI coding tool:

Auto-configuredManual setup
Cursor, Cursor CLIChatGPT
Claude CodeClaude Desktop
Codex
Kiro IDE, Kiro CLI
Windsurf
Gemini CLI
Amp
Warp
OpenCode, Qwen Code, Kimi CLI
Hermes, OpenClaw

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

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