developer-tools

Raygun

mindscapehq

by mindscapehq

Monitor crash reports and performance metrics with Raygun, a cloud based network monitoring tool for optimal application

Monitor crash reports and performance metrics for application stability.

github stars

19

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Remote — zero setup requiredNatural language queries for crash dataFull stack traces and error context

best for

  • / Development teams debugging application issues
  • / DevOps engineers monitoring deployment impacts
  • / Product managers analyzing user experience metrics
  • / Support teams investigating customer-reported problems

capabilities

  • / Query crash reports and error details
  • / Analyze performance metrics and page load times
  • / Track deployment releases and correlate with errors
  • / Monitor user sessions and behavior patterns
  • / Generate time-series analytics for errors
  • / Manage team invitations and collaboration

what it does

Connects AI assistants to Raygun's crash reporting and performance monitoring data through natural language queries. Lets you investigate errors, track deployments, and analyze performance metrics without switching contexts.

about

Raygun is an official MCP server published by mindscapehq that provides AI assistants with tools and capabilities via the Model Context Protocol. Monitor crash reports and performance metrics with Raygun, a cloud based network monitoring tool for optimal application It is categorized under developer tools.

how to install

You can install Raygun in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Raygun is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

# 🔭 Raygun MCP Server ### Access your crash reporting data in Raygun with AI assistants [![MCP](https://img.shields.io/badge/MCP-Remote%20Server-blue?logo=anthropic&logoColor=white)](https://modelcontextprotocol.io/) [![API](https://img.shields.io/badge/Raygun%20API-v3-FF6A13?logo=raygun&logoColor=white)](https://raygun.com/documentation/product-guides/raygun-api/) [![Status](https://img.shields.io/badge/Status-Production-success?logo=checkmarx&logoColor=white)](https://api.raygun.com/v3/mcp) [![Docs](https://img.shields.io/badge/Docs-Available-informational?logo=gitbook&logoColor=white)](https://github.com/MindscapeHQ/mcp-server-raygun/blob/main/TOOLS.md) A remote Model Context Protocol (MCP) server that connects AI assistants to your crash reporting and real user monitoring data in Raygun through natural language conversations. **[📚 Tool Reference](https://github.com/MindscapeHQ/mcp-server-raygun/blob/main/TOOLS.md)** • **[🚀 Quick Start](#getting-started)** • **[🔑 Get API Token](https://app.raygun.com/user/tokens)**
--- ## ✨ Key Features - 🐛 **Error Management** - Investigate, resolve, and track application errors and crashes with full stack traces and context - 🚀 **Deployment Tracking** - Monitor releases and correlate errors with deployments to identify problematic changes - ⚡ **Performance Insights** - Analyze page load times, user metrics, and performance trends over time - 👥 **User Monitoring** - Track customer sessions, behavior patterns, and identify affected users - 🤝 **Team Collaboration** - Manage invitations and coordinate error resolution across your team - 📊 **Metrics & Analytics** - Time-series analysis and distribution histograms for errors and performance ## 📋 Requirements - 🔐 A [Raygun account](https://raygun.com/) with an active subscription - 🔑 A [Raygun Personal Access Token (PAT)](https://app.raygun.com/user/tokens) ## 🚀 Getting Started The Raygun MCP server is hosted remotely at `https://api.raygun.com/v3/mcp`. > **💡 Tip:** Choose your AI assistant below and follow the configuration instructions. Don't forget to replace `YOUR_PAT_TOKEN` with your actual Raygun Personal Access Token!
Amp **Guide:** [Amp MCP Documentation](https://ampcode.com/manual#mcp) ```bash amp mcp add raygun --header "Authorization=Bearer YOUR_PAT_TOKEN" https://api.raygun.com/v3/mcp ```
Claude Code **Guide:** [Claude Code MCP Documentation](https://docs.claude.com/en/docs/claude-code/mcp) ```bash claude mcp add --transport http raygun https://api.raygun.com/v3/mcp --header "Authorization: Bearer YOUR_PAT_TOKEN" ```
Cline **Guide:** [Cline MCP Documentation](https://docs.cline.bot/mcp/connecting-to-a-remote-server) Use `https://api.raygun.com/v3/mcp` and your PAT token
Codex **Guide:** [Codex MCP Documentation](https://developers.openai.com/codex/mcp/) ```toml [mcp_servers.raygun] command = "npx" args = ["mcp-remote", "https://api.raygun.com/v3/mcp", "--header", "Authorization: Bearer YOUR_PAT_TOKEN"] ```
Cursor Go to `Cursor Settings` → `MCP` → `New MCP Server` ```json { "mcpServers": { "Raygun": { "url": "https://api.raygun.com/v3/mcp", "headers": { "Authorization": "Bearer YOUR_PAT_TOKEN" } } } } ```
Gemini CLI ```bash gemini mcp add --transport http raygun https://api.raygun.com/v3/mcp --header "Authorization: Bearer YOUR_PAT_TOKEN" ```
JetBrains AI Assistant **Guide:** [JetBrains AI Assistant MCP Documentation](https://www.jetbrains.com/help/ai-assistant/mcp.html#connect-to-an-mcp-server) ```json { "mcpServers": { "Raygun": { "url": "https://api.raygun.com/v3/mcp", "headers": { "Authorization": "Bearer YOUR_PAT_TOKEN" } } } } ```
VS Code **Guide:** [VS Code MCP Servers](https://code.visualstudio.com/docs/copilot/customization/mcp-servers) ```json { "servers": { "raygun": { "url": "https://api.raygun.com/v3/mcp", "headers": { "Authorization": "Bearer YOUR_PAT_TOKEN" } } } } ```
Zed **Guide:** [Zed MCP Documentation](https://zed.dev/docs/ai/mcp) ```json { "context_servers": { "raygun": { "source": "custom", "command": "npx", "args": [ "mcp-remote", "https://api.raygun.com/v3/mcp", "--header", "Authorization: Bearer YOUR_PAT_TOKEN" ], "env": {} } } } ```
### 💬 Your First Prompt After configuration, try asking your AI assistant: ``` 🔍 "Show me the most recent error groups in my Raygun applications" ``` ``` 🚀 "What were the latest deployments and did they introduce any new errors?" ``` ``` 📊 "Analyze the performance trends for my top pages over the last 7 days" ``` ## 🛠️ Tools The Raygun MCP server provides the following categories of tools:
📱 Applications - `applications_list` - List all applications in your Raygun account - `applications_search` - Search for applications by name - `application_get_details` - Get detailed application information - `application_regenerate_api_key` - Generate a new API key for an application
🐛 Error Management - `error_groups_list` - List error groups within an application - `error_group_investigate` - Get complete details about a specific error group - `error_group_update_status` - Change error group status (resolve, ignore, activate) - `error_group_add_comment` - Add investigation notes to an error group - `error_instances_browse` - Browse individual error occurrences - `error_instance_get_details` - Get full stack trace and context for an error instance
🚀 Deployments - `deployments_list` - List deployments for an application - `deployment_create` - Create a new deployment record - `deployment_get_latest` - Get the most recent deployment with error analysis - `deployment_investigate` - Get comprehensive deployment information - `deployment_manage` - Update or delete a deployment
👥 Customers & Sessions - `customers_search` - Search customers by name, email, or identifier - `customer_investigate` - Get customer profile, recent error groups, and sessions - `sessions_list` - List user sessions with environment and device data
📊 Performance & Metrics - `pages_list` - List monitored pages in an application - `page_investigate` - Get page details for metrics queries - `metrics_website_performance_analyze` - Track performance trends over time - `metrics_performance_distribution_analyze` - Understand performance variability - `metrics_error_trends_analyze` - Track error rates and patterns
🤝 Team Management - `invitations_manage` - List and review team invitations - `invitation_send` - Send a new team invitation - `invitation_revoke` - Cancel a pending invitation
For detailed documentation on each tool, see the [Tool Reference](https://github.com/MindscapeHQ/mcp-server-raygun/blob/main/TOOLS.md). ## 🔑 Configuration ### Obtaining a Personal Access Token To use the Raygun MCP server, you need a Raygun Personal Access Token (PAT): 1. Navigate to [**Raygun Personal Access Tokens**](https://app.raygun.com/user/tokens) 2. Click **Create New Token** 3. Give your token a descriptive name (e.g., "MCP Server Access") 4. Select the appropriate permissions for your use case 5. Copy the generated token and use it in your MCP configuration > **⚠️ Important:** Replace `YOUR_PAT_TOKEN` in the configuration examples above with your actual token. Keep your token secure and never commit it to version control! For more details, see the [Raygun API documentation](https://raygun.com/documentation/product-guides/raygun-api/). --- ## 📖 About The Raygun MCP server enables AI coding assistants to access and analyze your crash reporting and real user monitoring data in Raygun, helping you investigate errors, track deployments, analyze performance, and manage your application monitoring workflow—all through natural language conversations. ## 🔗 Resources - 📚 [Raygun Documentation](https://raygun.com/documentation/) - 🔌 [Raygun API Reference](https://raygun.com/documentation/product-guides/raygun-api/) - 🤖 [Model Context Protocol](https://modelcontextprotocol.io/) - 🐛 [Report Issues](https://github.com/MindscapeHQ/mcp-server-raygun/issues) ---
**Built with ❤️ by [Raygun](https://raygun.com)** [![Raygun](https://img.shields.io/badge/Powered%20by-Raygun-FF6A13?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPGNpcmNsZSBjeD0iMTIiIGN5PSIxMiIgcj0iMTIiIGZpbGw9IndoaXRlIi8+Cjwvc3ZnPgo=)](https://raygun.com)

FAQ

What is the Raygun MCP server?
Raygun is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Raygun?
This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.660 reviews
  • Pratham Ware· Dec 28, 2024

    Raygun is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Luis Wang· Dec 28, 2024

    I recommend Raygun for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kabir Ramirez· Dec 20, 2024

    Useful MCP listing: Raygun is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Charlotte Lopez· Dec 16, 2024

    Strong directory entry: Raygun surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Kwame Gupta· Dec 12, 2024

    Raygun is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Kiara Singh· Dec 12, 2024

    According to our notes, Raygun benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Luis Zhang· Dec 4, 2024

    Raygun is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Min Smith· Nov 23, 2024

    Raygun reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Min Tandon· Nov 19, 2024

    According to our notes, Raygun benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Noah Robinson· Nov 11, 2024

    We evaluated Raygun against two servers with overlapping tools; this profile had the clearer scope statement.

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