Schema | Sentry MCP Server

Sentry MCP Server

Official

Describes the environment variables required to run the server.

Name	Required	Description	Default
`SENTRY_AUTH`	Yes	Your Sentry authentication token with appropriate permissions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
list_projectsC	List accessible Sentry projects. View project slugs, IDs, status, settings, features, and organization details.
resolve_short_idC	Retrieve details about an issue using its short ID. Maps short IDs to issue details, project context, and status.
get_sentry_eventB	Retrieve a specific Sentry event from an issue. Requires issue ID/URL and event ID.
list_error_events_in_projectC	List error events from a specific Sentry project. View recent errors, frequency patterns, and occurrence timestamps.
create_projectB	Create a new project in Sentry. Track deployments, releases, and health metrics.
list_project_issuesC	List issues from a Sentry project. Monitor issue status, severity, frequency, and timing.
list_issue_eventsC	List events for a specific Sentry issue. Analyze event details, metadata, and patterns.
get_sentry_issueC	Retrieve and analyze a Sentry issue. Accepts issue URL or ID.
list_organization_replaysC	List replays from a Sentry organization. Monitor user sessions, interactions, errors, and experience issues.
setup_sentryC	Set up Sentry for a project returning a dsn and instructions for setup.
search_errors_in_fileC	Search for Sentry errors occurring in a specific file. Find all issues related to a particular file path or filename.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/getsentry/sentry-mcp-stdio'

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