MCPBench
pipStandardMCPBench provides a standardized evaluation framework for MCP servers. It exposes benchmarking tools to assess performance, accuracy, and reliability of AI models. It connects to various MCP servers for testing and validation. Developers use it to compare model performance and optimize AI agent workflows.
236150Updated 5 months ago
Overview
MCPBench provides a standardized evaluation framework for MCP servers. It exposes benchmarking tools to assess performance, accuracy, and reliability of AI models. It connects to various MCP servers for testing and validation. Developers use it to compare model performance and optimize AI agent workflows.
Installation
1Install the package
pip
pip install MCPBench2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"modelscope-mcpbench-github": {
"command": "uvx",
"args": [
"pip install MCPBench"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from MCPBench?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for MCPBench
Configuration
API Key Required
This server requires an API key from MCPBench. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCPBENCH_API_KEY | Yes | Your MCPBench API key |
Usage Examples
List Resources
"What resources are available in MCPBench?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in MCPBench"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in MCPBench with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with MCPBench
Related skills
Browse all skillsNeed help with MCP integration?
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.