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rayalon1984
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mcp-server

Expose failure analysis and knowledge base endpoints for the TestOps MCP Server.

3|1|Updated May 19, 2025
Search Tags:#debugging#ai#mcp#postgres#knowledge-base#failure-analysis#pipeline-stats
One-click install
npx skills add https://github.com/rayalon1984/testops-companion --skill mcp-server-rayalon1984
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/rayalon1984/testops-companion/tree/main/mcp-server
Command: npx skills add https://github.com/rayalon1984/testops-companion --skill mcp-server-rayalon1984

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP Server provides a Model Context Protocol (MCP) server that centralizes AI-powered failure analysis, knowledge-base management, and operational metrics for TestOps Companion, enabling deterministic tool usage and token-efficient context handling.

Core Features & Use Cases

  • AI-powered single and batch failure analysis with categorization, similarity search, and root-cause suggestions.
  • Knowledge base management to store resolved failures and quickly retrieve solutions for recurring issues.
  • Pipeline stats, test history, and cost monitoring to optimize CI/CD operations and AI usage.

Quick Start

Start the MCP Server in development mode and connect Claude Code to interact with the TestOps MCP tooling.

Frequently Asked Questions about mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use an MCP server for AI-powered failure analysis?▼

An MCP server for AI-powered failure analysis connects to AI clients like Claude Code to provide deterministic tool endpoints for single and batch failure analysis, categorization, and similarity search over a PostgreSQL database.

How does batch failure analysis work with PostgreSQL for CI/CD pipelines?▼

Batch failure analysis queries a PostgreSQL database to process multiple test failures simultaneously, providing root-cause suggestions and similarity search to support triage and cost optimization across CI/CD pipelines.

Can I use this MCP server for knowledge base lookup of recurring test failures?▼

Yes, the MCP server exposes a knowledge base lookup tool endpoint to store resolved failures and quickly retrieve solutions for recurring issues, supporting efficient triage and RCA.

What's the best way to monitor pipeline stats and test failure costs in TestOps?▼

The MCP server provides a statistics tool endpoint that queries pipeline stats, test history, and cost monitoring data to optimize CI/CD operations and AI usage.

Does the TestOps MCP server require a PostgreSQL database to run?▼

Yes, the MCP server validates inputs and queries a PostgreSQL database to perform failure analysis, knowledge base management, and operational metrics retrieval.

Why use MCP tooling for root-cause analysis instead of manual debugging?▼

Using MCP tooling for root-cause analysis enables token-efficient context handling and deterministic tool usage, centralizing AI-powered failure analysis and categorization to streamline triage.

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