Vaaya
listing.by
Pay for third-party APIs and buy tokenized shares from a prepaid balance, with a spend ceiling stated on every agent call.
listing.connect
listing.explain.oauth
listing.note.oauth
listing.share.h
listing.share.p
mcp.tc/i/vaayalisting.about
Vaaya gives an AI agent one prepaid balance for paid APIs such as web search, scraping, contact data, compute sandboxes, media generation, browser sessions, email inboxes and memory. The agent asks for a priced plan, then runs a call with a maximum cost. Calls above that cost are refused, and failed calls are not billed. It can also buy supported tokenized stocks on Base.
It runs as a hosted Streamable HTTP endpoint at https://vaaya.ai/mcp with OAuth sign-in, or locally through the npm package @vaaya/mcp, which proxies the hosted server. A Vaaya account and prepaid funds are needed for paid calls. No vendor API keys are placed in the agent environment.
listing.can
- Get a priced plan for a task before spending
- Run paid API calls with a per-call maximum cost
- Use search, scraping, research and browser services from one balance
- Run code in per-second-billed compute sandboxes
- Generate images, video, speech and music
- Buy supported tokenized stocks and check order status
- Check portfolio buying power and prepaid balance
listing.tools
listing.notools.oauth
listing.prompts
Consult Vaaya for a plan to scrape this site, then run it with a 5 cent limit.
List the tokenized stocks I can buy with my Vaaya balance.
Buy $10 of Apple tokenized stock and tell me when the order is confirmed.
Run a deep research report on competitor pricing using Vaaya.
listing.setup.h
listing.setup.oauth
Claude Code
- Run this in a terminal, in your project folder:
claude mcp add --transport http vaaya https://vaaya.ai/mcp- Start Claude Code, type
/mcp, pick vaaya and choose Authenticate. A browser window opens for the vaaya-ai sign-in.
Add --scope user to make it available in every project, not just this one.
Claude Desktop
- Open Settings → Connectors and click Add custom connector.
- Name it Vaaya and paste this URL:
https://vaaya.ai/mcp- Click Add, then Connect, and sign in when vaaya-ai asks.
Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.
claude.ai
- Open the connector form on claude.ai. This button fills in the name and URL for you:
- Check that the URL reads
https://vaaya.ai/mcpand click Add. - Click Connect and sign in when vaaya-ai asks.
Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.
ChatGPT
- On chatgpt.com, open Settings → Security and login and turn on Developer mode.
- Go to
chatgpt.com/pluginsand click + to create an app for a remote MCP server. - Paste
https://vaaya.ai/mcpas the server URL and choose OAuth. ChatGPT sends you to vaaya-ai to sign in.
Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.
Cursor
Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):
{
"mcpServers": {
"vaaya": {
"url": "https://vaaya.ai/mcp"
}
}
}Cursor shows Needs login next to the server. Click it to sign in.
VS Code
Install in VS Code a11y.new_tab
Or from a terminal:
code --add-mcp '{"name":"vaaya","type":"http","url":"https://vaaya.ai/mcp"}'Or commit it to the repo in .vscode/mcp.json:
{
"servers": {
"vaaya": {
"type": "http",
"url": "https://vaaya.ai/mcp"
}
}
}VS Code asks you to sign in the first time the server starts.
Devin Desktop
- Add it to
~/.config/devin/mcp_config.json(macOS and Linux) or%APPDATA%\devin\mcp_config.json(Windows):
{
"mcpServers": {
"vaaya": {
"serverUrl": "https://vaaya.ai/mcp"
}
}
}- Refresh the MCP server list in Cascade and sign in when asked.
Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.
Codex
codex mcp add vaaya --url https://vaaya.ai/mcp
codex mcp login vaayaOr edit ~/.codex/config.toml directly:
[mcp_servers.vaaya]
url = "https://vaaya.ai/mcp"Gemini CLI
gemini mcp add --transport http vaaya https://vaaya.ai/mcpThen, inside Gemini CLI, run /mcp auth vaaya to sign in.
This adds it to the current project. Add -s user to use it everywhere.
Any client
Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.
{
"mcpServers": {
"vaaya": {
"type": "http",
"url": "https://vaaya.ai/mcp"
}
}
}Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.
Client only starts local servers? Bridge it with npx -y mcp-remote https://vaaya.ai/mcp.
listing.faq
Can I paste mcp.tc/i/vaaya into my MCP client?
No. mcp.tc links are pages, not server addresses. Connect with https://vaaya.ai/mcp, so your client talks to Vaaya directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.
Does Vaaya need an API key or a sign-in?
Yes, you need a vaaya-ai account. The first time your client connects, it opens vaaya-ai's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.
Is Vaaya a remote or a local server?
Remote. vaaya-ai hosts it at https://vaaya.ai/mcp, and it speaks Streamable HTTP. There's nothing to install.
What can Vaaya do?
You can get a priced plan for a task before spending, run paid API calls with a per-call maximum cost and use search, scraping, research and browser services from one balance.
Which clients can use it?
Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.
Who wrote this page?
mcp.tc's robot read Vaaya's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.
listing.em.h
listing.em.lead listing.em.how
listing.em.badge
[](https://mcp.tc/i/vaaya)<a href="https://mcp.tc/i/vaaya"><img src="https://mcp.tc/i/vaaya/badge.svg" alt="Vaaya on mcp.tc" height="20"></a>listing.em.badge_note
listing.em.widget
<script src="https://mcp.tc/w/vaaya.js" async></script>listing.em.widget_note
iframe
<iframe src="https://mcp.tc/embed/vaaya" title="Vaaya on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>listing.em.iframe_note
listing.disclaimer_checked