mcp-gauntlet is an evaluation framework designed to test MCP (Model Context Protocol) servers by determining if AI agents can actually accomplish meaningful tasks with the tools the server exposes. It runs agentic evaluations that include testing for capabilities like tool use and resistance to prompt injection. The package is aimed at developers building or validating MCP-compatible AI agent systems.
mcp-gauntlet is an Agent evaluation & testing project. It focuses on evaluating whether AI agents can successfully use tools provided by an MCP server to complete real tasks. It is built as an open-source project for AI developers and researchers. mcp-gauntlet is open source under the MIT license. It runs on the command line.
Behind mcp-gauntlet is Ghaleb Dweikat, and it first shipped in 2026. Development happens publicly on GitHub with 10 commits in the last 90 days. Key capabilities include Agentic Evaluation, MCP Server Testing, and Tool Use Assessment. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do