Sentry
A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.
What is Sentry?
Sentry is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to remote model context protocol server acting as middleware to the sentry api, allowing ai assistants like claude to access sentry data and functionality through natural language interfaces.
A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A remote Model Context Protocol server acting as middleware
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @sentry/mcp-serverManual Installation
npx -y @sentry/mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Sentry
Sentry MCP acts as middleware to the Sentry API, allowing Claude to access error tracking data, debugging information, and application health metrics through natural language. Connecting this enables your AI assistant to analyze production issues, investigate exceptions, query error patterns, and provide debugging insights—turning error data into actionable intelligence without leaving your chat interface.
Prerequisites
- A Sentry account with an organization and projects set up
- Sentry API authentication token
- Node.js 14+ installed
- An MCP client such as Claude Desktop or Cursor
Generate Sentry API token
Create an authentication token in Sentry. Go to Settings → API → Tokens and create a new token with appropriate scopes.
# In Sentry web interface:
# Settings → API → Create Token
# Save your token securelyInstall Sentry MCP Server
Use npx to install the Sentry MCP Server.
npx -y @sentry/mcp-serverAdd Sentry MCP to your configuration
Edit your MCP client's configuration file to include the Sentry server with your API token.
{
"mcpServers": {
"sentry-mcp": {
"command": "npx",
"args": ["-y", "@sentry/mcp-server"],
"env": {
"SENTRY_AUTH_TOKEN": "your-sentry-token",
"SENTRY_ORG": "your-org-slug"
}
}
}
}Restart your MCP client
After updating the configuration with your Sentry credentials, restart Claude Desktop or Cursor.
Test Sentry integration
Ask your AI assistant to list recent errors or analyze a specific issue to verify the connection works.
Sentry Examples
MCP Configuration
Add Sentry MCP Server to your configuration.
{
"mcpServers": {
"sentry-mcp": {
"command": "npx",
"args": ["-y", "@sentry/mcp-server"],
"env": {
"SENTRY_AUTH_TOKEN": "sntrys_...",
"SENTRY_ORG": "my-org"
}
}
}
}Prompts to try
Example prompts for using Sentry MCP with Claude.
- Show me the top 5 errors in production from the last 24 hours
- Analyze this crash and suggest what might be causing it
- Find all errors related to authentication failures in the past weekTroubleshooting Sentry
Authentication fails with Sentry
Verify your API token is valid and not expired. Confirm the token has the necessary scopes in Sentry. Check that SENTRY_AUTH_TOKEN is set correctly.
No projects or errors appearing
Verify SENTRY_ORG is set to your Sentry organization slug. Check that your Sentry account has active projects with errors. Ensure the API token has permission to read project data.
Rate limiting from Sentry API
Sentry has rate limits on API calls. Space out queries. Check your Sentry plan for rate limit allowances. Reduce query frequency if necessary.
Frequently Asked Questions about Sentry
What is Sentry?
Sentry is a Model Context Protocol (MCP) server that remote model context protocol server acting as middleware to the sentry api, allowing ai assistants like claude to access sentry data and functionality through natural language interfaces. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Sentry?
Install via npm with the command: npx -y @sentry/mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Sentry?
Sentry works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Sentry free to use?
Yes, Sentry is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Set Up Sentry in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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