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/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:

{ "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.

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
📧 Email	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/mcp

OpenClaw:

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

Hermes (~/.hermes/config.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, …)

{ "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-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:

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 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

• 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