Compare Orthogonal and Smithery side by side. Both are tools in the MCP Tooling category.
Updated March 27, 2026
Choose Orthogonal if solves real friction — agents need API access without manual key management.
Choose Smithery if production-ready platform.
Want to compare Orthogonal and Smithery on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | MCP Tooling | MCP Tooling |
| Pricing | Usage-based | Free |
| Best For | Developers building agents that consume paid APIs | Developers who want to discover, share, and deploy MCP servers |
| Website | orthogonal.com | smithery.ai |
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Key criteria to evaluate when comparing MCP Tooling solutions:
Orthogonal is an API marketplace and payment layer for AI agents. Part of YC W2026, it was founded by Christian Pickett (ex-Coinbase payments, ex-Vercel billing) and Bera Sogut (ex-Google reCAPTCHA/Maps, ex-Amazon Robotics, 2x ACM ICPC World Finalist). Developers and agents get instant access to hundreds of paid APIs through a single MCP server or SDK, with no key management and pay-as-you-go pricing.
The platform handles rate limits, retries, and dynamic routing automatically. For API providers, listing once makes their service instantly discoverable by every agent on the platform. Compatible with Claude Code, OpenClaw, Codex, Cursor, and any MCP-compatible agent. The initial focus is on search, scraping, datasets, and AI model APIs.
Orthogonal has 30+ named API partners already integrated including ScrapeGraph, People Data Labs, Apollo.io, and Composio. It supports the x402 protocol for machine-to-machine payments. Think Stripe meets an app store for the agentic API economy.
AI platform providing comprehensive solutions for enterprise applications. The platform offers robust features for production AI deployment with focus on scalability, reliability, and developer experience. Suitable for teams building modern AI systems at scale.
Tools and servers built around Anthropic's Model Context Protocol (MCP), enabling standardized tool use, context sharing, and agent interoperability.
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