agent-cloud-tools

Name: agent-cloud-tools
Author: upload

Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.

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What it can do

What data it sees

Do you need an account

No: the server works without sign-in

Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.

How to connect

How to connect agent-cloud-tools to Claude

The server address to paste into Claude settings:

https://upload.83blue.com/mcp

Open Claude (claude.ai or the desktop app).
Go to Settings → Connectors.
Click Add custom connector.
Paste the server address copied below into Remote MCP server URL and click Add.
In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect agent-cloud-tools to ChatGPT

The server address to paste into ChatGPT settings:

https://upload.83blue.com/mcp

Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
Open Settings → Connectors and click Create.
Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect agent-cloud-tools to Cursor

The server address to paste into Cursor settings:

https://upload.83blue.com/mcp

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (9)

Raw names from tools/list. Only developers need these.

share_text	Use this when another AI agent, chat session or person needs text you have: instructions, code, JSON, a prompt for another model. Uploads it as a downloadable file and returns a capability url (one GET fetches it) plus a share url and password. No account or API key needed.
share_file	Use this when another AI agent (a different machine, model or chat session) or a person needs access to one or more files. Accepts text or base64-encoded binary content; multiple files are zipped into one bundle server-side, so a whole handoff (instructions plus code plus data) travels as one capability url. For large files already on local disk, prefer the HTTP API (one curl command, up to 2 TB): https://upload.83blue.com/docs
share_conversation	Use this to hand your full working context to another AI: any provider, any model, any chat client. Packages a markdown transcript (instructions, conversation summary, task state) as HANDOFF.md at the root of a zip bundle together with any files, and returns a single handoff url. The receiving model just fetches that url: it gets a briefing, the file manifest and download commands in one go. Say to the next agent: "Fetch this url to pick up where I left off."
receive_file	Use this when you have been given an 83blue link and need the file. Accepts a capability url (https://upload.83blue.com/f/...) on its own, or a share url plus password. Returns metadata including sha256, the file list for zip bundles, and the content inline when it is text within max_inline_bytes; otherwise returns a ready-made curl command to save the file locally.
deploy_site	Use this to put a static website you have built (HTML, CSS, JS, images, fonts) onto the public web in one call, with no signup, no account and no config. Give it the files (there must be an index.html at the root) and it returns a live https url, e.g. https://upload.83blue.com/s/brave-otter-482/, plus a manage_key you can reuse to update or delete it. Ideal when a person asks you to build them a website, landing page, demo, prototype or report and wants to see it live. IMPORTANT: the site is served from a subfolder, so use RELATIVE asset paths only (href="style.css", src="img/logo.png"), never root-absolute paths like "/style.css" which would break. Sites are served as pure static files (server-side code is never executed) and auto-expire after 30 days unless renewed. Each file is text or base64. Total site up to 50 MB, 300 files.
list_sites	Return the status, address, size and expiry of a site you deployed. Pass the url, host or slug.
delete_site	Remove a site you deployed. Needs the site url/host/slug and its manage_key (returned by deploy_site).
remember	Durable cross-session memory for AI agents: store notes, context, text or JSON now and recall it in a later session or from another machine by url. A free cloud scratchpad and shared key-value store for agents, no signup, no account, no API key. Also callable as save_memory, store_memory, save_note, stash. Returns a url; fetch it back later with recall.
recall	Fetch back durable memory, or any shared file/text, by its 83blue url or token (a capability url, or a share url plus password). Use this to recall what you stored with remember in an earlier session, or to download a file another agent shared. Also callable as get_memory, download_file, fetch_file, get_file.