
Build your agentic credit score from your github profile credit profile and give your agents money to spend. Enable your agents to access 1400+ tools like Exa, Firecrawl, Fal (media generation), Apollo.io, Browserbase, Modal and a lot more with just one MCP. Installing Vaaya is simple just run npx @vaaya/mcp install
Loading comments…
Project Info
Product Keywords
Vaaya is an agentic commerce platform that turns your GitHub contribution history into a credit line your AI agents can actually spend. Instead of juggling API keys, separate bills, and dozens of provider dashboards, Vaaya gives your agents a single account with access to 300+ LLM models, 1,400+ tools, and 56 providers—all settled through one unified ledger. It's built around a simple premise: your code history is proof of work, and that work should fund your agents' next moves.
Vaaya analyzes your public GitHub contribution history and converts it into a spendable credit line. There's no upfront payment required—your past work becomes your financial runway. The scoring is transparent, and the credit is immediately available for your agents to use across the entire catalog.
Instead of installing separate integrations for every service, Vaaya bundles everything into a single MCP server. A quick npx @vaaya/mcp install gives your agents access to Exa, Firecrawl, Fal, Apollo.io, Browserbase, Modal, and hundreds more. For agent-native setups, you can paste a setup URL directly into any capable agent and it configures itself.
Every agent request goes through a four-step flow: ask, price, run, record. Vaaya tells you which provider it picked and the exact or maximum cost before the call executes. If a call fails, you're charged $0. This pre-run transparency keeps spending predictable and eliminates surprise bills.
Vaaya handles authentication, settlement, and record-keeping with every upstream provider. You don't need to track which service you used last month or reconcile multiple invoices. The platform picks the best provider for each task, and all charges land in one clean ledger.
Your GitHub history is more than a resume—it's a credit line for your agents.
Most platforms ask for a credit card before you can build. Vaaya inverts that by treating your open-source contributions as collateral. Combined with the pay-per-call model and zero cost on failures, it removes the financial friction that typically stops developers from letting their agents run wild. The fact that agents can self-configure by pasting a single URL makes it feel less like a developer tool and more like infrastructure that thinks ahead.
You're building agents that need diverse tooling—search, media generation, browser automation, compute, or data enrichment—and you're tired of managing a dozen API keys and billing dashboards. It's also a strong fit if you have a solid GitHub presence and want to put it to work without opening your wallet first. And if you care about cost visibility, the pre-run pricing model alone is reason enough to give Vaaya a spin.
Other tools you might consider
Give your AI agent a debit card. Issue single-use cards funded from your wallet with a fixed budget so your agents can buy things online.
nullsink provides anonymous access to Claude, GPT, and confidential open models without requiring an account, email, card, or subscription. Fund a bearer API key from $2 using Monero or Bitcoin, then use it with native Anthropic or OpenAI-compatible clients. Credit does not expire. nullsink keeps no request-content or client-IP logs and publishes its AGPL source code, architecture, and trust-model limitations.
Point MCP Bridge at any REST, GraphQL, SOAP, or gRPC API. It auto-generates MCP tool definitions with typed schemas, auth, rate limiting, and response processing. Your LLM agents call enterprise APIs through one standard interface.
The moment an agent needs to deploy something, it slams face-first into a wall built for humans. Today we're rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy — temporary and get a live Worker in seconds.
Maker
sleepyfox
Loading comments…