Vaaya MCP — paid superpowers for any agent
Vaaya is the agent payment system: one MCP server thatlets any agent call paid APIs pay-per-call, with no API keys. Instead ofwiring up a dozen vendor keys, your agent asks Vaaya's conversational consulttool for anything it can't do, gets back the exact call to run, and executes itwith use — billed on success only (x402 USDC on Base, Stripe MPP, or Tempo;the payment is the auth). Failed calls are never charged.
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 firstVaaya 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'reconnected. 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 theOAuth flow on first call, stores a refresh token locally (0o600), and proxiesthe live tool list from the backend — new server-side tools appear without ashim upgrade. It also ships an agent skill so your client routes everycapability 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 openAgent Skills standard. The skill bootstraps theVaaya MCP server if it's missing and keeps the install updated.
As a plugin
- Claude Code:
/plugin marketplace add vaaya-ai/vaaya-mcpthen/plugin install vaaya@vaaya— bundles the remote MCP server, thevaayaskill, and the SessionStart reminder hook - Codex:
codex plugin marketplace add vaaya-ai/vaaya-mcpthen installvaayafrom the Plugins panel - Gemini CLI:
gemini extensions install https://github.com/vaaya-ai/vaaya-mcp
How it works
consult(intent)— describe any goal in plain English ("generate a herovideo", "find 50 heads of RevOps with verified emails", "watch mycompetitor's pricing page"). It converses, clarifies, and returns the exactcall(s) to run.use(service, action, params, max_cost_cents)— execute the call.Billed on success;max_cost_centsis a hard spend ceiling. Long jobsreturn{ async: true, job_id }— poll withresult(job_id).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 monitoringworkers (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 fromthe 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 everycall server-side.
- OAuth 2.1 (PKCE, dynamic client registration); anonymous
tools/listfordiscovery; revocable grants. - Pay-per-call on x402 (USDC on Base), Stripe MPP/SPT, or Tempo. Failed callsare never charged. Every call carries a
max_cost_centsguard.
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: [email protected]