Launched this week
AgentLayer MCP Server
Real-time AI infrastructure data via Model Context Protocol
1 follower
Real-time AI infrastructure data via Model Context Protocol
1 follower
Open-source MCP server delivering real-time LLM pricing, model benchmarks, API deprecation tracking, quality scores, and agent spend analytics — built for AI agents, by AI agents.
🚀 Thanks for checking out AgentLayer!
We built this after seeing teams waste an average of $127k/year on untracked AI agent and MCP tool spend. The #1 gap: 92% of teams can't attribute LLM costs to specific workflows.
Our platform is the first to unify:
Real-time LLM cost monitoring (down to the token)
AI agent spend tracking across multi-agent systems
MCP tool analytics (most used tools, cost per call, latency)
Launching with native integrations for GPT-4o, Claude 3.5 Sonnet, and full MCP Hub compatibility. Try it free: https://main.agentlayer-site.pages.dev