LLM API Benchmark

v1.0.0Monitoring & Observabilitystable

Enables benchmarking of Large Language Model APIs by measuring performance metrics such as generation throughput, prompt throughput, and Time To First Token (TTFT) with configurable concurrency levels and parameters.

llm-api-benchmark-mcp-servermcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is LLM API Benchmark?

LLM API Benchmark is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables benchmarking of large language model apis by measuring performance metrics such as generation throughput, prompt throughput, and time to first token (ttft) with configurable concurrency levels...

Enables benchmarking of Large Language Model APIs by measuring performance metrics such as generation throughput, prompt throughput, and Time To First Token (TTFT) with configurable concurrency levels and parameters.

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

Features

  • Enables benchmarking of Large Language Model APIs by measuri

Use Cases

Measure LLM API generation throughput and prompt throughput.
Track Time To First Token (TTFT) with configurable concurrency.
Yoosu-L

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx llm-api-benchmark-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 LLM API Benchmark

What is LLM API Benchmark?

LLM API Benchmark is a Model Context Protocol (MCP) server that enables benchmarking of large language model apis by measuring performance metrics such as generation throughput, prompt throughput, and time to first token (ttft) with configurable concurrency levels and parameters. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install LLM API Benchmark?

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

Which AI clients work with LLM API Benchmark?

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

Is LLM API Benchmark free to use?

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

Browse More Monitoring & Observability MCP Servers

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

Quick Config Preview

{ "mcpServers": { "llm-api-benchmark-mcp-server": { "command": "npx", "args": ["-y", "llm-api-benchmark-mcp-server"] } } }

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

Read the full setup guide →

Ready to use LLM API Benchmark?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides