Vaaya

ai.vaaya由 vaaya.ai 發布官方發布者v0.6.8更新於 Nov 2, 2026

Paid APIs and tokenized shares for agents. Prepaid funding, including authorized Instinct checkout.

已驗證Streamable HTTP可網頁執行金融商業與電商AI 與機器學習

概覽

AI 產生的概覽

Vaaya 讓助理用一份預付餘額按次付費呼叫外部 API、購買代幣化股票、線上購物並執行沙箱。

可以做什麼
  • 諮詢並執行付費外部能力:影像、影片與音訊生成、網頁搜尋與擷取、深度研究、電子郵件、瀏覽器自動化、向量嵌入,並可設定單次花費上限
  • 輪詢非同步任務並取得結果
  • 執行與關閉按秒計費的程式碼沙箱工作階段
  • 在 Base 上購買代幣化股票,查詢報價、持倉與訂單狀態
  • 在支援的商店搜尋並購買商品、票券、預訂與訂閱
  • 管理連結帳戶:連線測試、引導、餘額與信用額度、登出,以及免費文件主題
適用情境
適合助理需要付費第三方能力但不想持有各廠商 API 金鑰時,或使用者希望由助理完成購物、代幣化股票下單與按量計費算力,並統一從預付錢包扣款。
執行需求
遠端 Streamable HTTP 端點,首次使用時透過瀏覽器完成 OAuth 2.1 授權;或使用 npm 套件 @vaaya/mcp 作為 stdio 代理(透過 npx 執行,需 Node.js)。需要一個有預付餘額的 Vaaya 帳戶;無需廠商金鑰或環境變數。需能連線至 Vaaya 服務。
安裝前請注意
每次呼叫都會從預付餘額扣除真實費用,沙箱工作階段在關閉前按秒持續計費。股票為代幣化股票而非券商股票,只有 confirmed 狀態才算成交。儲值涉及信用卡付款與 Stripe Checkout 連結,交接時不要洩露卡號資訊與 bearer token。服務會將請求代理至第三方供應商,提示與資料會經過 Vaaya。登出會在伺服器端撤銷該連線授權。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Vaaya,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.vaaya%2Fmcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "vaaya": {
      "type": "http",
      "url": "https://vaaya.ai/mcp"
    }
  }
}

README

[Vaaya]

Vaaya MCP — payments for any agent

MCP server for AI agent payments. An agent in Cursor, Claude Code, Claude Desktop, Codex, or any MCP host can call paid APIs (search, scraping, contact data, public records, compute, media, research) from one balance, with a spend ceiling it states on every call, and no vendor keys anywhere in its environment. Billed only on success (x402 USDC on Base, Stripe MPP, or Tempo); a refused or failed call costs nothing.

bash
npx @vaaya/mcp install            # Cursor, Claude Code, Claude Desktop, Codexclaude mcp add --transport http vaaya https://vaaya.ai/mcp

First paid call: consult returns a priced plan; use({ service, action, params, max_cost_cents }) runs one line of it. If the quoted price is above max_cost_cents, the call is refused before it reaches the provider and the reason comes back:

json
{ "error": "over_max", "message": "price is 5¢ but max_cost_cents was 1", "price_cents": 5 }

Runnable examples: examples/pay-for-an-api (one call allowed, one refused), examples/cursor, examples/claude. Guides: give an agent a budget, Cursor setup, Claude setup, what is an AI agent wallet.

Buy tokenized shares — including with Instinct

Agents can buy supported tokenized stocks on Base with Vaaya prepaid funds. These are tokenized stocks, not direct brokerage shares. Discover the current supported tickers with stocks({ command: "list" }) (for example Apple AAPLc and NVIDIA NVDAc), then check stocks({ command: "portfolio" }) for buyingPowerCents. Welcome grants and credit lines cannot buy shares.

For a user-authorized $10 Apple purchase:

json
{ "command": "buy", "symbol": "AAPLc", "amount_cents": 1000, "idempotency_key": "<unique purchase key>" }

Call the dedicated stocks MCP tool with this input; it is separate from consult/use. The amount is the maximum total prepaid spend including fees. Save the returned id, then poll stocks({ command: "order", order_id: "<id>" }). Only confirmed means purchased. Stop on failed or needs_review; reuse the same purchase key on uncertain retries, never place a new order to check status.

Insufficient prepaid balance? With the user's authorization for a $10, $30, or $100 pack, POST https://vaaya.ai/api/v1/topup with JSON { "pack_cents": 1000 } (or 3000 / 10000) using the same account's bearer token. An Instinct agent with access to the user's saved card can pay the returned Stripe Checkout url in its own browser when authorized for that pack amount. For a handoff, provide the URL and authorized amount to the user's Instinct agent; otherwise give the URL to the user. Keep card details and bearer tokens out of the handoff. Vaaya cannot charge a card stored in Instinct directly. A share purchase alone does not authorize an extra card charge.

Poll GET /api/v1/wallet (wallet.prepaid_cents), then recheck stock buying power before resuming the original purchase key. Do not pay again while a payment's outcome is uncertain. Stock availability and account permissions apply.

Full MCP and REST purchase guide · Complete tool reference

What your agent can do through Vaaya

CapabilityWhat you get
🎨 Media generationImages & video with top models — Nano Banana Pro 2, GPT Image 2, Seedream v4.5, Kling v3, Seedance 2.0 — plus TTS voices & music
🎬 Product demo videosRecord a raw, silent screen capture of your live product; Vaaya auto-authors narration + zoom/cut plan and renders a finished narrated demo
🖼️ Website imageryDerive a site's brand and generate an on-brand image set straight into your repo
🔎 Web searchExa & Parallel: query search, URL contents, async deep research tasks
🕷️ Web scrapingFirecrawl scrape / crawl / map / search / extract, persisted to files
📚 Deep researchMulti-hop, source-verified, cited research reports
📊 Market & competitive researchCompany reports (people, hiring, ads, reviews, SEO/LLM visibility), product & feature catalogs with review sentiment, UX research with interactive product maps, "best X for my data" bake-offs, persistent competitive knowledge repos
🎯 GTM & salesFind ICP-matched leads with verified contacts, enrich contacts, track buying signals (funding/hiring/launch/press), 24×7 LinkedIn discovery, segment-based outbound email — every draft held for human approval
⏰ Monitoring workersScheduled watches (30 min–weekly) over competitor pricing, deals, reviews, job postings, news — only new/changed findings surface
🖥️ Compute sandboxesPer-second-billed code execution (Modal) for benchmarks, untrusted code, GPU inference, data jobs
🌐 Browser automationBrowserbase sessions to click, type, log in, fill forms
📧 EmailAgentMail inboxes your agent owns — send and receive replies
🧠 MemoryPersistent cross-session memory via mem0, Zep, or Letta

Install

One command (recommended)

bash
npx @vaaya/mcp install

(npx vaaya-cli install runs the same installer.)

Sets up the Vaaya MCP server for every agent it detects on your machine — Claude Code, Claude Desktop, Cursor, Codex — plus the agent skill. Idempotent: re-run any time to update. Then restart your agent; the first Vaaya call opens a short browser approval (sign-up happens right there).

Remote (Streamable HTTP + OAuth)

[Add Vaaya to Cursor]

json
{ "mcpServers": { "vaaya": { "url": "https://vaaya.ai/mcp" } } }

Claude Code:

bash
claude mcp add --transport http vaaya https://vaaya.ai/mcp

OpenClaw:

bash
openclaw mcp add vaaya --url https://vaaya.ai/mcp --transport streamable-http --auth oauthopenclaw mcp login vaaya

Hermes (~/.hermes/config.yaml):

yaml
mcp_servers:  vaaya:    url: "https://vaaya.ai/mcp"    auth: oauth

On first use your client runs the OAuth flow in the browser; approve and you're connected. Revoke anytime at vaaya.ai/connected-apps.

npm stdio shim (for stdio-only clients: opencode, …)

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

The shim (@vaaya/mcp) opens the OAuth flow on first call, stores a refresh token locally (0o600), and proxies the live tool list from the backend — new server-side tools appear without a shim upgrade. It also ships an agent skill so your client routes every capability gap through consult automatically.

Agent skill (works across 70+ agents)

bash
npx skills add vaaya-ai/vaaya-mcp

Installs the vaaya skill for Claude Code, Codex, Cursor, Gemini CLI, Copilot, and any other client that supports the open Agent Skills standard. The skill bootstraps the Vaaya MCP server if it's missing and keeps the install updated.

As a plugin

  • Claude Code: /plugin marketplace add vaaya-ai/vaaya-mcp then /plugin install vaaya@vaaya — bundles the remote MCP server, the vaaya skill, and the SessionStart reminder hook
  • Codex: codex plugin marketplace add vaaya-ai/vaaya-mcp then install vaaya from the Plugins panel
  • Gemini CLI: gemini extensions install https://github.com/vaaya-ai/vaaya-mcp

How it works

  1. consult(intent) — describe any goal in plain English ("generate a hero video", "find 50 heads of RevOps with verified emails", "watch my competitor's pricing page"). It converses, clarifies, and returns the exact call(s) to run.
  2. use(service, action, params, max_cost_cents) — execute the call. Billed on success; max_cost_cents is a hard spend ceiling. Long jobs return { async: true, job_id } — poll with result(job_id).
  3. session / close — per-second-billed code sandbox sessions.

Plus a full GTM suite (gtm_leads_find, gtm_lead_enrich, gtm_signal_create, gtm_segments, gtm_message, gtm_replies, …) and scheduled monitoring workers (worker_create, worker_findings, …) — the tool list is proxied live from the backend.

Example prompts

  • "Generate a hero video for our landing page in 16:9."
  • "Record my product and turn it into a narrated demo video."
  • "Find 50 heads of RevOps at Series-B SaaS companies with verified emails."
  • "Watch my competitor's pricing page and tell me when it changes."
  • "Do deep research on the agentic payments market with cited sources."
  • "Scrape these 200 product pages into structured JSON."
  • "Run this benchmark in a GPU sandbox."

CLI

The vaaya-cli CLI manages everything from the terminal:

bash
npx vaaya-cli install        # set up the MCP server for every detected agentnpx vaaya-cli status         # connection state + live tool countnpx vaaya-cli consult "..."  # ask Vaaya how it would do something (returns the plan)npx vaaya-cli reauthorize    # re-run the browser auth flownpx vaaya-cli logout         # disconnect & delete local credentials

Security & billing

  • Your agent never sees vendor API keys or upstream URLs — Vaaya proxies every call server-side.
  • OAuth 2.1 (PKCE, dynamic client registration); anonymous tools/list for discovery; revocable grants.
  • Pay-per-call on x402 (USDC on Base), Stripe MPP/SPT, or Tempo. Failed calls are never charged. Every call carries a max_cost_cents guard.

Links

來源:README.md,提交 7718f1a

工具

14

stocks

Buy Tokenized Stocks

Buy tokenized stocks on Base using only the user’s prepaid Vaaya balance, never the welcome credit or the GitHub credit line. Commands: list (supported token tickers), portfolio (owned stocks and buying power), quote {symbol, amount_cents}, buy {symbol, amount_cents, idempotency_key}, order {order_id}. When the user asks to buy a specified stock and dollar amount, resolve its supported token ticker (Apple = AAPLc) and call buy directly; no activation or additional approval step. amount_cents is the maximum total prepaid spend including provider fees. Use a unique idempotency_key for each intended purchase and reuse it on retries. Query order until confirmed/failed; queued/submitted is not success. Do not increase the user’s spend or retry a failed purchase as a new order without instruction. Ask only for missing or ambiguous purchase details. If prepaid_required or buyingPowerCents is insufficient, offer a $14/$40/$60 prepaid pack: POST /api/v1/topup with pack_cents 1400/4000/6000 and the same account bearer token returns a Stripe Checkout url. With authorization for that pack amount, the user’s Instinct agent can pay the URL in its browser using the card saved in Instinct; otherwise give the URL to the user. Vaaya cannot charge Instinct’s card directly. Do not include card details or tokens in a handoff. Check GET /api/v1/wallet wallet.prepaid_cents, then portfolio buyingPowerCents before resuming the same purchase key. A share purchase alone does not authorize a top-up. Stop on needs_review as well as failed.

輸入參數symbolcommand必填order_idamount_centsidempotency_key

jobs

Jobs: Post Work and Submit Proof

Jobs: a marketplace where humans hire humans, and each side's agent handles the steps. Call with { action, ...params }. Actions: list, get, mine, draft, update_draft, cancel, accept, submit_proof, record_verdict, request_release, dispute. A poster's agent drafts a job (budget_usd, definition_of_done, required_evidence) and gives its human the review_url; the HUMAN publishes, which holds the budget from their wallet. A doer's agent accepts an open job for its human and later submits that human's proof (summary + links). The poster's agent evaluates the proof against the definition of done with record_verdict. Only the poster, in their own browser on the job page, can release payment; no action here moves money to anyone. Never claim the agent did the work.

輸入參數gapsnotelinkstitleaction必填job_idreasonstatussummarycriteriabudget_usdupdated_at另有 5 個

vaaya_test_connection

Test Vaaya Connection

Round-trip ping that confirms the agent → Vaaya connection and whether the user is linked. Returns { ok:true, userId, scope, version, server_time, first_call } when linked — SHOW `first_call.show_to_user` to the user as written, it is the same set of starter examples the website and installer give them. Returns { ok:false, needs_auth:true, verification_uri, signup_uri, instructions } when not linked yet — relay that to the user so they can connect (and sign up if new).

無需輸入參數。

vaaya_onboard

Get Onboarding Instructions

Public onboarding hint for an agent whose user isn't linked to Vaaya yet. Returns where the human should go to connect (and sign up if new). Call this when vaaya_test_connection reports needs_auth, or any tool returns unauthorized, then relay the instructions to the user. If the user IS already linked it returns `first_call` instead — show `first_call.show_to_user` as written so they know what to try.

無需輸入參數。

vaaya_account

Show Connected Account & Balance

Show which Vaaya account this connection is linked to and its money state. Returns { email, name, user_id, connected_client, scopes, balance_cents, credit_line, available_cents, credits_url, switch_account }. Call it whenever the user asks "which account is connected", "what's my balance", "how much credit is left", or "how do I switch accounts" — and relay the answer. `credit_line` is the credit the account can spend past its prepaid balance (the welcome credit plus any GitHub-score line); `available_cents` = balance + active line, the number calls are gated on.

無需輸入參數。

vaaya_logout

Disconnect / Switch Vaaya Account

Disconnect this client from the current Vaaya account: revokes this connection's authorization server-side, so every later call fails with 401 until the user reconnects. Call it when the user asks to log out, sign out, disconnect, or switch Vaaya accounts — then relay the returned switch steps VERBATIM (the browser sign-out step is what actually enables switching accounts).

無需輸入參數。

docs

Read Vaaya Deep Reference

Vaaya's deep reference, FREE and instant. Pass `topic` to get the full playbook for a capability area — exact services, actions, params, prices, model lists, and gotchas — the same reference files the vaaya skill ships. Topics: 'setup' (connecting an agent, a chat app, or an unattended process), 'tools' (exact params of every Vaaya tool, GTM suite included), 'media' (image/video/audio models + product-demo videos), 'gtm' (leads, enrichment, outreach, signals, email), 'research' (OneSearch lanes, deep research, company/market research playbooks), 'data' (scraping, people, social platforms, public records, onchain, compliance), 'compute' (sandboxes, browser automation, files, memory, workers, phone calls, llm). Read the matching topic BEFORE non-trivial work in that area — it is cheaper than a wrong call. Never bills; safe to call any time.

輸入參數topic必填

consult

Consult Vaaya — Plan Any Capability

Vaaya's consultant. Describe ANY external capability you or the user might want — generate an image/video, search or scrape the web, run code in a sandbox, send/receive email, enrich a contact — and it helps figure out the best way, teaching the user what Vaaya can do. It is CONVERSATIONAL and remembers prior turns. It returns: mode='converse' (a reply to RELAY to the user verbatim — questions, options, ideas; get the user's response and call consult again with it, so the conversation continues), mode='call' (an ordered list of calls to run via `use`, with a message explaining the preferred choice + alternatives + why; multi-step results may contain placeholders like '<from step 1: sandbox_id>' — run earlier steps first and substitute), or mode='unsupported'. Every reply includes `suggestions` (2-3 things to do next) — surface these to the user. AFTER you run a `call` result's calls via `use`, call consult ONE more time with a short note on the outcome (what was produced / any failures) — it returns result-aware, Vaaya-grounded next steps to offer the user (the `call` result's `after_running` field reminds you). Call consult whenever you hit a capability gap or the user wants to know what's possible. It does NOT execute or bill — you run returned calls via `use`. ALWAYS show the user consult's `message` and `suggestions` and let them steer.

輸入參數intent必填

use

Execute a Paid Service Call

Execute a single external call, and bill on success. Used for any external capability (image/video/audio generation, web search, scraping, email, document parsing, code sandbox, browser automation, embeddings, etc.). The server validates params against a registered schema and proxies to the upstream — you never pass URLs or API keys. Call it directly when you know the exact (service, action, params, max_cost_cents) — from the vaaya skill's catalog or a call you've made before; when unsure, get the call from `consult` rather than guessing.

輸入參數action必填intentparams必填service必填max_cost_cents必填

result

Poll an Async Job

Fetch the status + output of an async job started by `use` (e.g. a video render). Pass the `job_id` that `use` returned with `{ async: true }`. Returns `{ status, result?, progress?, charged_cents }`: `running` (still working — when the job reports it, `progress` carries `{ phase, percent, rendered_frames, total_frames, eta_sec }` and `hint` is a one-line summary like "rendering 42% (380/900 frames, ~120s left)", so you can tell real progress from a hang; wait a bit and call again), `succeeded` (`result` holds the output, e.g. the video URL; the call is charged now), or `failed`/`cancelled` (no charge; on `failed`, read `error` AND `hint` — `hint` carries the service's usage notes, which usually explain how to fix the call). Safe to call repeatedly — it never starts new work or double-charges. ALWAYS use this to retrieve an async result instead of re-running `use` (re-running starts a new paid job).

輸入參數job_id必填

buy

Buy Something for the User

Find and buy products, tickets, bookings and subscriptions for the user at supported stores. Start with `search` { query } to find the item and merchant page using Vaaya OneSearch (5¢ per search); the user can describe what they need without supplying a link. Before checkout, use `setup` to check payment and shipping readiness; resolve missing setup once. Persistent merchant accounts are managed at /store-connections. Use store_connection_id to select an account. Passwords and verification codes belong only on the merchant page, never in chat. PRODUCT DISCOVERY: if the user describes what to buy but provides no URL, use `search` { query: <product, variant, budget and preferred merchant if specified> } to locate it under the existing tool spending permissions; do not ask them to paste a link or say search for it first. Search is not purchase authorization. Respect search fees and spending limits; if search is unavailable, explain the actual error and then ask for a link. Verify the merchant, item and variant from the result; ask only when matches are ambiguous or details cannot be verified. Never invent a product URL, final total or delivery date from a search snippet. THE SEAMLESS PATH: once the user has told you what to buy and you have the exact item, merchant page URL and total, call `purchase` { item, merchant, url, total_cents, confirmed: true, confirmation: <the user's own words> } — it approves from their message (under the chat limit), starts buying in the user's cloud browser in the background and returns `message` ("Hold on — buying it now."): RELAY IT, then poll `status` { approval_id } every ~10 seconds and relay its `message` when the status is completed ("Done — …"), requires_action (read action_required.reason for the exact blocker) or failed. If `status` says the user's shipping address is missing, ask for it and call `address` { name, line1, line2?, city, state?, postal_code, country, phone? } then `checkout` { approval_id } to resume; if merchant a

輸入參數urlcityitemnameemailline1line2notesphonequerystateparams另有 14 個

session

Run Code in a Sandbox Session

Run a command or code in an open E2B sandbox session (started by `use` with action `create_session`, which returns a `session_id`). Pass `session_id` plus either `command` (a shell command) or `code` (+ optional `language`: python/javascript/bash). Returns stdout/stderr/exit_code (or the code result). The sandbox stays alive — and billed per second of uptime — until you `close` it; re-running reuses the SAME box, so filesystem + process state persist between calls. ALWAYS `close` when done.

輸入參數codecommandlanguagesession_id必填

close

Close a Sandbox Session

Close an E2B sandbox session and stop its billing. Pass the `session_id`. Captures the final metered uptime cost and releases the hold. ALWAYS call this when finished with a session — an open session keeps billing per second of uptime. Safe to call repeatedly (idempotent).

輸入參數session_id必填

llm

Ask Another LLM

Ask a DIFFERENT LLM a question and get its answer, billed per token from the Vaaya wallet (model cost + 3%, usually a fraction of a cent). Use it to get a second opinion from a rival model, cross-check an answer, summarize a huge blob cheaply, or query a specific model the user names (Kimi, GPT, Gemini, Claude, DeepSeek, and 300+ more). `model` accepts 'auto' (default: short prompts go cheap, long go mid), 'cheap' | 'mid' | 'best' tiers, or any exact OpenRouter slug like 'moonshotai/kimi-k3'. Typical costs: cheap tier well under 0.1 cents, best tier 1-3 cents per call. Not for the conversation you are already having — it is a one-shot ask to another model.

輸入參數modelprompt必填systemmax_tokens

版本歷史

1
  1. v0.6.8最新Sep 16, 2026

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