Highly Recommended

Mcpbr

Stop optimizing MCP servers by gut feeling - let the data speak.
The X-ray machine for code optimization
Core Principle:
mcpbr is a benchmarking tool specifically designed for MCP servers. With one command, it runs real GitHub issues as test cases, giving you hard data on whether your MCP server actually improves AI coding performance. No more guesswork - all results are Docker-container reproducible.
KEY FEATURES
01Real-world Testing
Uses actual GitHub issues from SWE-bench as test cases
02Data-Driven
Generates precise quantitative comparison reports
03One-Click Reproducibility
All tests run in standardized Docker containers
04Multi-Scenario
Supports three SWE-bench test set variants
github.com/greynewell/mcpbr
data-ai·greynewell·2026-02-02·20·🔱 8
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/greynewell/mcpbr.git
SSH
git clone [email protected]:greynewell/mcpbr.git
GitHub CLI
gh repo clone greynewell/mcpbr
FAQ
Q: What are the installation steps for Mcpbr Agent Skills?
1.Install: One-line curl or pip install
2.Configure: Select test set and parameters
3.Run: Automatically pulls Docker images and runs tests
4.Report: Generates visual comparison reports
Q: What are the highlights of Mcpbr Agent Skills?
  • Real GitHub issue testing
  • 30-second report generation
  • Docker environment guarantee
  • Multi-dimensional data comparison
Q: What are the use cases for Mcpbr Agent Skills?
  • MCP server performance comparison
  • AI coding capability benchmarking
  • Code fix quality validation
  • Security vulnerability exploitation testing
Q: What are the limitations of Mcpbr Agent Skills?
  • Currently mainly supports Python projects
  • Requires local Docker environment