vaaya-mcp
MCP server for AI agent payments: pay-per-call APIs (search, scraping, data, compute, media, research) with no vendor keys and a spend ceiling on every call. Works in Cursor, Claude Code, Claude Desktop, and Codex.
Documentation
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.
npx @vaaya/mcp install # Cursor, Claude Code, Claude Desktop, Codex
claude mcp add --transport http vaaya https://vaaya.ai/mcpFirst 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:
{ "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:
What your agent can do through Vaaya
| Capability | What you get |
|---|---|
| 🎨 Media generation | Images & 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 videos | Record a raw, silent screen capture of your live product; Vaaya auto-authors narration + zoom/cut plan and renders a finished narrated demo |
| 🖼️ Website imagery | Derive a site's brand and generate an on-brand image set straight into your repo |
| 🔎 Web search | Exa & Parallel: query search, URL contents, async deep research tasks |
| 🕷️ Web scraping | Firecrawl scrape / crawl / map / search / extract, persisted to files |
| 📚 Deep research | Multi-hop, source-verified, cited research reports |
| 📊 Market & competitive research | Company 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 & sales | Find 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 workers | Scheduled watches (30 min–weekly) over competitor pricing, deals, reviews, job postings, news — only new/changed findings surface |
| 🖥️ Compute sandboxes | Per-second-billed code execution (Modal) for benchmarks, untrusted code, GPU inference, data jobs |
| 🌐 Browser automation | Browserbase sessions to click, type, log in, fill forms |
| AgentMail inboxes your agent owns — send and receive replies | |
| 🧠 Memory | Persistent cross-session memory via mem0, Zep, or Letta |
Install
One command (recommended)
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)
{ "mcpServers": { "vaaya": { "url": "https://vaaya.ai/mcp" } } }Claude Code:
claude mcp add --transport http vaaya https://vaaya.ai/mcpOpenClaw:
openclaw mcp add vaaya --url https://vaaya.ai/mcp --transport streamable-http --auth oauth
openclaw mcp login vaayaHermes (`~/.hermes/config.yaml`):
mcp_servers:
vaaya:
url: "https://vaaya.ai/mcp"
auth: oauthOn 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, …)
{ "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)
npx skills add vaaya-ai/vaaya-mcpInstalls 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:
npx vaaya-cli install # set up the MCP server for every detected agent
npx vaaya-cli status # connection state + live tool count
npx vaaya-cli consult "..." # ask Vaaya how it would do something (returns the plan)
npx vaaya-cli reauthorize # re-run the browser auth flow
npx vaaya-cli logout # disconnect & delete local credentialsSecurity & 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
- Website & docs: https://vaaya.ai
- Agent-readable docs (llms.txt): https://vaaya.ai/llms.txt · full tool reference: https://vaaya.ai/llms-full.txt
- npm: https://www.npmjs.com/package/@vaaya/mcp · https://www.npmjs.com/package/vaaya-cli
- Support: support@vaaya.ai
Frequently asked questions
What is vaaya-mcp?
vaaya-mcp is MCP server for AI agent payments: pay-per-call APIs (search, scraping, data, compute, media, research) with no vendor keys and a spend ceiling on every call. Works in Cursor, Claude Code, Claude Desktop, and Codex.
How do I install vaaya-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is vaaya-mcp open source?
Yes — it is hosted on GitHub at https://github.com/vaaya-ai/vaaya-mcp and has 42 stars.
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