Ninelayer
MCP search API for AI agents with authority-ranked, source-verified web results
Overview
What is Ninelayer?
Ninelayer is an MCP search API for AI agents that returns authority-ranked evidence packets from the live web. It is built for coding, research, support, and GTM workflows, with integrations across popular MCP-compatible tools and a free plan plus paid Pro tier.
Key Features
Pros
- Works with common MCP-compatible agents and frameworks
- Returns structured, citation-ready context instead of raw search blobs
- Includes Projects for persistent team or agent memory
- Offers a free plan and a $5/month Pro tier
Limitations
- Requires a token for agent workflows
- Public information does not show a GitHub repository
- A2A support is not listed
Interoperability
Integrations
FAQs
What is Ninelayer?
Ninelayer is a search layer for AI agents that delivers authority-ranked evidence packets from the live web via MCP.
Does Ninelayer support MCP?
Yes. Ninelayer is MCP-native and works with MCP-compatible agents and frameworks.
Which tools integrate with Ninelayer?
Ninelayer supports tools including Claude Code, Cursor, Windsurf, LangChain, LlamaIndex, VS Code, Vercel AI, ChatGPT, Gemini, GitHub Copilot, Cline, Codex, Zed, and OpenCode.
What use cases does Ninelayer support?
Ninelayer is built for coding assistance, research, customer support, sales research, data extraction, and agent memory workflows.
What is the pricing model?
Ninelayer offers a free plan and a Pro plan starting at $5/month, with a 7-day Pro trial and no credit card required to start.
Is Ninelayer a Tavily or Exa alternative?
Yes. Ninelayer is positioned as an alternative for agent search workflows, with structured evidence packets and MCP delivery.
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