MCPBench FAQs

Question 1

Does MCPBench provide datasets for evaluation?

Accepted Answer

Yes, MCPBench includes datasets for both web search (Frames, news, and technology domains) and database query tasks. You can also add your own datasets in JSON format.

Question 2

What metrics does MCPBench measure?

Accepted Answer

MCPBench primarily evaluates MCP servers based on task completion accuracy, latency, and token consumption, providing a comprehensive performance overview.

Question 3

What are the key requirements for running MCPBench?

Accepted Answer

MCPBench requires Python 3.11 or higher, Node.js, and jq. See the installation instructions in the README for details.

Question 4

What is MCPBench?

Accepted Answer

MCPBench is a benchmark framework designed to evaluate the performance of MCP (Machine Comprehension Programming) servers, specifically for web search and database query tasks.

Question 5

What types of MCP servers can MCPBench evaluate?

Accepted Answer

MCPBench supports the evaluation of both web search MCP servers (like Brave Search or DuckDuckGo) and database query MCP servers. It's compatible with both local and remote servers.

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