feststelltaste/problemrider
View on GitHubCreate MCP Server for Problem Catalogue Access
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#7 opened on Aug 14, 2025
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Description
Background
AI agents could benefit from direct access to our legacy system problem catalogue through a Model Context Protocol (MCP) server, similar to how context7 provides contextual information access.
Proposed Solution
Develop an MCP server that exposes our problem catalogue data to AI agents, enabling them to:
- Query problems by category, symptoms, or root causes
- Search for related problems based on similarity
- Access full problem descriptions, indicators, and examples
- Retrieve causal relationships between problems
Example: Upstash Context7 MCP Server
Benefits
- Agent Integration: AI agents can directly access problem knowledge
- Contextual Assistance: Provide relevant legacy system problems during conversations
- Automated Problem Detection: Agents can suggest related problems based on described issues
- Knowledge Discovery: Enable semantic search across the problem space
- Standardized Access: Use MCP protocol for consistent integration
Scope
Create an MCP server that provides structured access to the problem catalogue without requiring agents to parse markdown files directly.