Raygun▌

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.
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
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 tokenCodex
**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": {} } } } ```📱 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 invitationFAQ
- 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 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Raygun is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Raygun against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Raygun is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Raygun reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Raygun for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Raygun surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Raygun has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Raygun benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Raygun into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Raygun is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.