MindscapeHQ/server-raygun
by Various
Give your AI coding assistants access to Raygun so they can investigate, explain, and help resolve errors for you.
MCP
MindscapeHQ/server-raygun
Added 1 June 2026
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
How to use
Tools exposed
applications_listapplications_searchapplication_get_detailsapplication_regenerate_api_keyerror_groups_listerror_group_investigateerror_group_update_statuserror_group_add_commenterror_instances_browseerror_instance_get_detailsdeployments_listdeployment_createdeployment_get_latestdeployment_investigatedeployment_managecustomers_searchcustomer_investigatesessions_listpages_listpage_investigate
Tested with
Amp, Claude Code, Cline, Codex, Cursor, Gemini CLI, JetBrains AI Assistant, VS Code
Example client config
[object Object] 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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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