Production error log monitoring and APM tracing MCP integration for instant stack trace inspection and incident diagnosis by AI agents.
Sentry & Datadog APM Observability MCP Profile
Overview
Connect your AI agent directly to Sentry issue tracking and Datadog APM logs using this MCP server profile. Agents can pull production unhandled exception traces, correlate error frequencies with recent releases, and suggest immediate code patches.
MCP Configuration (mcp_config.json)
{
"mcpServers": {
"sentry-observability": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sentry"],
"env": {
"SENTRY_AUTH_TOKEN": "sntrys_your_read_only_token",
"SENTRY_ORG": "your-org-slug"
}
},
"datadog-logs": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-datadog"],
"env": {
"DATADOG_API_KEY": "your_dd_api_key",
"DATADOG_APP_KEY": "your_dd_app_key",
"DATADOG_SITE": "datadoghq.com"
}
}
}
}
Recommended Diagnostic Workflow
1. Fetch latest high-impact production issue from Sentry: sentry_get_latest_issues({ limit: 5 }).
2. Inspect exact stack trace lines and affected file paths.
3. Locate corresponding source file in repository.
4. Draft root cause analysis and propose fix.