Enterprise DNA
M MCP Servers Developer low

MindscapeHQ/server-raygun

by Various

Give your AI coding assistants access to Raygun so they can investigate, explain, and help resolve errors for you.

M

MCP

MindscapeHQ/server-raygun

Added 1 June 2026

#error-reporting #llm-agents #mcp #real-user-monitoring

Overview

An MCP server that connects AI coding assistants to Raygun error monitoring data. It allows assistants to fetch, investigate, and explain errors so developers can resolve them faster without leaving their chat interface.

Best for

Best for
Developers already using Raygun who want AI-assisted error investigation and resolution

Use cases

  • Let an AI assistant automatically fetch and summarize Raygun crash reports
  • Ask an AI to explain the root cause of a production error from Raygun data
  • Get AI-generated fix suggestions based on Raygun error context

Notes

An MCP server that connects AI coding assistants to Raygun error monitoring data. It allows assistants to fetch, investigate, and explain errors so developers can resolve them faster without leaving their chat interface.

21 stars on GitHub. Last updated 2026-03-02.

Use cases

  • Let an AI assistant automatically fetch and summarize Raygun crash reports
  • Ask an AI to explain the root cause of a production error from Raygun data
  • Get AI-generated fix suggestions based on Raygun error context

Pros

  • Integrates existing Raygun error tracking into AI chat workflows
  • Reduces time spent manually digging through error dashboards
  • Open source with active maintenance (21 stars)

Cons

  • Requires an active Raygun subscription and API credentials
  • Only works with MCP-compatible AI coding assistants
  • Limited to Raygun data — not a general debugging tool

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Integrates existing Raygun error tracking into AI chat workflows
  • Reduces time spent manually digging through error dashboards
  • Open source with active maintenance (21 stars)

Cons

  • Requires an active Raygun subscription and API credentials
  • Only works with MCP-compatible AI coding assistants
  • Limited to Raygun data — not a general debugging tool