A2ABench

Community

Agent-to-Agent benchmarking MCP server

About A2ABench MCP Server

A2ABench is an MCP server in the Testing & Benchmarking category. It exposes tools, resources to connected AI applications, enabling them to interact with a2abench capabilities through the standardized Model Context Protocol.

Features

Tools
Resources

Category

Testing & Benchmarking
Getting Started

To use the A2ABench MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the A2ABench MCP server
  3. Authenticate with your A2ABench credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the A2ABench MCP server
const server = await mcp.connect("a2abench");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-a2abench

pip

pip install mcp-server-a2abench
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client