GauntletCI-MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GauntletCI-MCPanalyze the current commit for behavioral risk"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GauntletCI MCP Server
Model Context Protocol (MCP) server that exposes GauntletCI behavioral change risk analysis as tools for AI coding assistants (Claude, Copilot, Cursor, etc.).
Tools
Tool | Description |
| Run GauntletCI on HEAD, return findings as readable text |
| Run GauntletCI, return raw JSON for programmatic use |
| Run GauntletCI, return SARIF 2.1.0 report |
Requirements
Node.js 20+
GauntletCI CLI:
dotnet tool install -g GauntletCI
Installation
npm install
npm run buildUsage with Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"gauntletci": {
"command": "node",
"args": ["/path/to/GauntletCI-MCP/dist/index.js"]
}
}
}Usage with VS Code (Copilot)
Add to .vscode/mcp.json:
{
"servers": {
"gauntletci": {
"type": "stdio",
"command": "node",
"args": ["${workspaceFolder}/path/to/GauntletCI-MCP/dist/index.js"]
}
}
}Example prompts
Once connected, ask your AI assistant:
"Run GauntletCI on this repo at /home/user/myapp and summarize the findings."
"Are there any block-level risks in the current commit?"
"Get the SARIF report for this commit."
Links
Resources
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