# Evaluation

> Browse 4 items tagged with Evaluation.

## Items

- [Dingo](https://mcpserver.ever.works/ru/items/dingo) — MCP server for Dingo, a comprehensive data quality evaluation tool. Enables interaction with rule-based and LLM-based evaluation capabilities and rules & prompts listing. Supports home, Apple, Windows, and Linux.
- [Atla](https://mcpserver.ever.works/ru/items/atla) — MCP integration for Atla API enabling AI agents to perform state-of-the-art LLM evaluations and benchmarking within IDE workflows. Supports performance metrics, output quality assessment, and comparative analysis. Provides specialized LLM testing beyond VSCode MCP's general debugging capabilities.
- [Actor Critic Thinking](https://mcpserver.ever.works/ru/items/actor-critic-thinking) — Actor-critic thinking MCP server for performance evaluation, providing structured reasoning frameworks for evaluating AI outputs and decision-making.
- [Patronus AI](https://mcpserver.ever.works/ru/items/patronus-ai) — MCP server for testing, evaluating, and optimizing AI agents and RAG applications, providing comprehensive AI quality assessment.

---

_Canonical page: https://mcpserver.ever.works/ru/tags/evaluation_