evalview-mcp
local MCP serverevalview-mcp is a local MCP server: Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude. Install it from pypi as evalview.
Installation
Terminal
claude mcp add evalview-mcp -e OPENAI_API_KEY=... -- uvx evalview
Run in your project folder. Add --scope user to use it everywhere.
Claude Desktop, Cursor & other clients
Add to claude_desktop_config.json or .cursor/mcp.json.
{
"mcpServers": {
"evalview-mcp": {
"command": "uvx",
"args": [
"evalview"
],
"env": {
"OPENAI_API_KEY": "..."
}
}
}
}Fill in the environment variables with your own credentials.
What you need
- Runtime: Python with uv (runs with uvx).
- MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
- Environment variables:
OPENAI_API_KEY
Summary
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
evalview-mcp vs similar servers
| Server | Stars | Type | API key | Runtime |
|---|---|---|---|---|
| evalview-mcp | 135 | Local | Yes | pypi |
| claude-code-organizer | 381 | Local | No | npm |
| HeyClaude — Claude & AI workflow directory | 300 | Hosted | No | None |
| lm | 119 | Local | Yes | npm |
| herald | 46 | Hosted | No | None |
Questions
It reads one environment variable: OPENAI_API_KEY. Set them in your MCP config before starting the server.
Python with uv (runs with uvx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.
evalview-mcp is a local MCP server distributed as the pypi package evalview.
Run: claude mcp add evalview-mcp -e OPENAI_API_KEY=... -- uvx evalview
Run: codex mcp add evalview-mcp --env OPENAI_API_KEY=... -- uvx evalview
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- heraldio.github.btouchard/herald46
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