AgentLayer

v1.0.0Analyticsstable

Provides real-time AI infrastructure data including LLM costs, model benchmarks, API deprecations, quality scores, and agent spend tracking. Supports authentication, rate limiting, x402 micropayments, and Stripe billing.

agentlayer-mcp-servermcpai-integration
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What is AgentLayer?

AgentLayer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides real-time ai infrastructure data including llm costs, model benchmarks, api deprecations, quality scores, and agent spend tracking. supports authentication, rate limiting, x402 micropayments,...

Provides real-time AI infrastructure data including LLM costs, model benchmarks, API deprecations, quality scores, and agent spend tracking. Supports authentication, rate limiting, x402 micropayments, and Stripe billing.

This server falls under the Analytics and Monitoring & Observability categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Provides real-time AI infrastructure data including LLM cost

Use Cases

Track LLM costs and model benchmarks. Monitor agent spending and API deprecations with quality scores.
ToddFisher42

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx agentlayer-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about AgentLayer

What is AgentLayer?

AgentLayer is a Model Context Protocol (MCP) server that provides real-time ai infrastructure data including llm costs, model benchmarks, api deprecations, quality scores, and agent spend tracking. supports authentication, rate limiting, x402 micropayments, and stripe billing. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install AgentLayer?

Follow the installation instructions on the AgentLayer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with AgentLayer?

AgentLayer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is AgentLayer free to use?

Yes, AgentLayer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Analytics MCP Servers

Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "agentlayer-mcp-server": { "command": "npx", "args": ["-y", "agentlayer-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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