Sentry MCP
Sentry's official MCP server: search issues, inspect events and traces and analyze root causes from a coding agent
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Broad access
Why this level
- The token grants write access to Sentry projects, teams and events
- Error data may be sent to a third-party LLM provider for search
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add mcp/sentry-mcpDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewBroad accessThe tool can change data, run commands or handle secrets.
- The token grants write access to Sentry projects, teams and events
- Error data may be sent to a third-party LLM provider for search
This is third-party code. Review the repository files before installing.
What it does
The server is a layer over the Sentry API tuned for debugging in coding agents rather than full administration. The agent can search and inspect issues, view events and performance traces, and run root cause analysis through Seer. Natural-language search over events and issues is translated into Sentry query syntax by an embedded LLM agent. The main option is the remote server at mcp.sentry.dev with OAuth sign-in, and a stdio mode via npx serves self-hosted Sentry. In Claude Code there is also a plugin with a subagent that Claude delegates error questions to.
Who it is for. For developers whose application errors and performance data live in Sentry.
Good fit when
- You need to find and inspect a fresh production error without leaving the editor
- You want to connect a slow request trace to the project code
- You run self-hosted Sentry and want to connect an agent to it
Not a fit when
- You need full administration of a Sentry organization
- Your errors are collected by another monitoring system
Example request
Find the most frequent errors in the api project in Sentry over the last day and propose a fix for the top oneMCP
- Transport
- http
- Authentication
- API key
Environment variables
SENTRY_ACCESS_TOKENrequired, secret- Sentry user auth token for the stdio mode.
EMBEDDED_AGENT_PROVIDER- LLM provider for natural-language search: openai, azure-openai, anthropic or openrouter.
OPENAI_API_KEYsecret- OpenAI key when that provider is used.
ANTHROPIC_API_KEYsecret- Anthropic key when that provider is used.
OPENROUTER_API_KEYsecret- OpenRouter key when that provider is used.
SENTRY_HOST- Self-hosted Sentry host; cloud Sentry is used when unset.
MCP_DISABLE_SKILLS- Comma-separated tool groups to disable, for example seer.
Limitations
You need a Sentry account, and the stdio mode needs a token with write scopes on projects and teams. Natural-language search tools need an OpenAI, Azure OpenAI, Anthropic or OpenRouter key; without one only the other tools work. Seer may be unavailable on self-hosted installs. The authors describe the stdio mode as a work in progress. OpenAI and Anthropic APIs are not reachable from Russia without a VPN.
How to disable. Remove the sentry server from the MCP config or run claude plugin uninstall sentry-mcp@sentry-mcp. Revoke the Sentry token in account settings.
FAQ
Can I disable some tools?
Yes, with the --disable-skills flag or the MCP_DISABLE_SKILLS variable, for example to drop Seer.
Can I pass a Sentry token to the remote server without OAuth?
Yes, clients that support headers can send it in the Authorization header with the Sentry-Bearer scheme.
Discussion
No questions or reviews yet.
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README in short
The README explains that the main path is the hosted service at mcp.sentry.dev and shows the Claude Code plugin install. It covers the stdio mode for self-hosted Sentry: token scopes, --host and --insecure-http flags, environment variables and an MCP config example. It also describes passing a token to the remote server via a header. The rest covers local development, tests and evals.