by modelscope · MCP Server · ★ 241
🦊 MCPBench: A Benchmark for Evaluating MCP Servers [![Documentation][docs-image]][docs-url] [![Package License][package-license-image]][package-license-url] 中文 | English MCPBench is an evaluation framework for MCP Servers. It supports the evaluation of three types of servers: Web Search, Database Query and GAIA, and is compatible with both local and remote MCP Servers. The framework primarily evaluates different MCP Servers (such as Brave Search, DuckDuckGo, etc.) in terms of task completion accuracy, latency, and token consumption under the same LLM and Agent configurations.
| Stars | 241 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.6093917837845/100 |
| Open Issues | 6 |
| Last Updated | 2025-09-03 |
| Created | 2025-04-13 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~6634k |
Explore other popular mcp server tools:
MCPBench is The evaluation benchmark on MCP servers. It is categorized as a MCP Server with 241 GitHub stars.
MCPBench is primarily written in Python. It covers topics such as benchmark, database, mcp.
You can find installation instructions and usage details in the MCPBench GitHub repository at github.com/modelscope/MCPBench. The project has 241 stars and 15 forks, indicating an active community.
MCPBench is released under the Apache-2.0 license, making it free to use and modify according to the license terms.