Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"TestDino": {
"env": {
"TESTDINO_PAT": "Your PAT here"
},
"args": [
"-y",
"testdino-mcp"
],
"command": "npx"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that connects TestDino to AI agents. This server enables you to interact with your TestDino test data directly through natural language commands.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'testdino-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked testdino-mcp against OSV.dev.
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A Model Context Protocol (MCP) server that connects TestDino to AI agents. This server enables you to interact with your TestDino test data directly through natural language commands.
Add this to your MCP client config (~/.cursor/mcp.json for Cursor), then restart the client:
{
"mcpServers": {
"TestDino": {
"command": "npx",
"args": ["-y", "testdino-mcp"],
"env": {
"TESTDINO_PAT": "your-pat-here"
}
}
}
}
Get your PAT from TestDino → User Settings → Personal Access Tokens, then ask your assistant: "Check TestDino health." You should see your account, organizations, and projects. Full setup for Cursor and Claude Desktop is in Integration.
This MCP server bridges the gap between your TestDino test management platform and AI agents. Instead of manually navigating the TestDino dashboard, you can ask your AI assistant to:
All through simple conversational commands.
passed, failed, blocked, skipped, retest — exactly as the UI does.