Confident AI MCP
AIstdio
Confident AI's official MCP server, connecting AI tools to the platform behind DeepEval for evaluating, observing, and iterating on LLM quality. Agents can trigger and read evaluation runs, inspect metric scores and failing test cases, manage golden datasets, and review production traces to close the loop between eval results and code changes.
Connect
Add this configuration to .claude/mcp.json
{
"mcpServers": {
"confident-ai": {
"command": "npx",
"args": [],
"env": {
"CONFIDENT_API_KEY": "<YOUR_CONFIDENT_API_KEY>"
}
}
}
}Tools (3)
list_test_runs
List evaluation test runs and their aggregate metric scores.
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"description": "Maximum number of test runs to return"
}
}
}get_failing_test_cases
Retrieve failing test cases for a test run, including metric reasons.
{
"type": "object",
"required": [
"test_run_id"
],
"properties": {
"test_run_id": {
"type": "string",
"description": "Identifier of the test run"
}
}
}list_datasets
List golden datasets available in the workspace.
{
"type": "object",
"properties": {}
}Resources
This server does not expose any resources.
Prompts
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Server information
- License
- Apache-2.0
- Stars
- 0
- Last updated
- August 3, 2026