by hidai25 · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
| Stars | 97 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 38.75/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-04 |
| Created | 2025-11-17 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~7963k |
Looking for a eval-view alternative? If you're comparing eval-view with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, Ll
An introduction to the world of AI Agents
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloa
The open-source memory operating system for AI agents. Persistent memory, semantic search, loop detection, age
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in
Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and Type
Explore other popular mcp server tools:
eval-view is Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.. It is categorized as a MCP Server with 97 GitHub stars.
eval-view is primarily written in Python. It covers topics such as agent-benchmark, agent-evaluation, agentic-ai.
You can find installation instructions and usage details in the eval-view GitHub repository at github.com/hidai25/eval-view. The project has 97 stars and 21 forks, indicating an active community.
eval-view is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to eval-view on Agent Skills Hub include corpusos, oreilly-ai-agents, argo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.