Flakiness Knowledge Graph
MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history
What is Flakiness Knowledge Graph?
Flakiness Knowledge Graph is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server + playwright reporter that builds a flakiness knowledge graph from test run history
MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server + Playwright reporter that builds a flakiness kno
Use Cases
Maintainer
Works with
Installation
NPM
npx -y flakiness-knowledge-graph-mcpManual Installation
npx -y flakiness-knowledge-graph-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Flakiness Knowledge Graph
What is Flakiness Knowledge Graph?
Flakiness Knowledge Graph is a Model Context Protocol (MCP) server that mcp server + playwright reporter that builds a flakiness knowledge graph from test run history It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Flakiness Knowledge Graph?
Install via npm with the command: npx -y flakiness-knowledge-graph-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Flakiness Knowledge Graph?
Flakiness Knowledge Graph works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Flakiness Knowledge Graph free to use?
Yes, Flakiness Knowledge Graph is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
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Set Up Flakiness Knowledge Graph in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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