getsentry/sentry-mcp

Overview

This MCP server connects large language models to Sentry's API. It allows LLMs to query issues, view events, and manage project status. The TypeScript implementation follows the Model Context Protocol for interoperability.

Best for

Best for
Developers and ops teams using Sentry who want to interact with error data through chat or AI assistants.

Use cases

• Query and investigate Sentry issues with natural language
• Retrieve and summarize error trends across projects
• Perform actions like assigning or resolving issues

How to use

Install

npx @sentry/mcp-server@latest --access-token=sentry-user-token

Tested with

Claude Code, Cursor, Continue, ChatGPT

Example client config

{\n  "mcpServers": {\n    "sentry": {\n      "url": "https://mcp.sentry.dev/mcp",\n      "headers": {\n        "Authorization": "Sentry-Bearer ${SENTRY_ACCESS_TOKEN}"\n      }\n    }\n  }\n}

Notes

This MCP server connects large language models to Sentry’s API. It allows LLMs to query issues, view events, and manage project status. The TypeScript implementation follows the Model Context Protocol for interoperability.

712 stars on GitHub. Last updated 2026-06-01.

Use cases

• Query and investigate Sentry issues with natural language
• Retrieve and summarize error trends across projects
• Perform actions like assigning or resolving issues

Pros

• Leverages the open MCP protocol for broad LLM compatibility
• Direct interface to Sentry’s full feature set
• Active community with 712 GitHub stars

Cons

• Requires Sentry account and API token
• Cannot access data outside Sentry’s scope
• MCP integration is still evolving and may have limited client support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.