mcpField
S
sentry

sentry

github.com/tech-leads-clubCloud & DevOps7.1k200 installsUpdated today
Repository

About sentry

sentry is an agent skill for read-only Sentry issue and event investigation through the Sentry API. It uses a bundled script for API requests and includes guidance on filtering results and protecting sensitive data.

Key features

  1. 01Lists and searches issues
  2. 02Retrieves issue and event details
  3. 03Uses read-only API requests
  4. 04Redacts personal data in output

Use cases

  1. 01Reviewing recent unresolved production issues
  2. 02Inspecting events for a specific issue
  3. 03Checking an event without exposing stack traces

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/tech-leads-club/agent-skills --skill sentry

After installing, type/sentryin Claude Code to confirm it loaded.

Bundled filesLICENSE.txtscripts/sentry_api.py

Details

From the project README

Sentry (Read-only Observability)

Quick start

  • If not already authenticated, ask the user to provide a valid SENTRY_AUTH_TOKEN (read-only scopes such as project:read, event:read) or to log in and create one before running commands.
  • Set SENTRY_AUTH_TOKEN as an env var.
  • Optional defaults: SENTRY_ORG, SENTRY_PROJECT, SENTRY_BASE_URL.
  • Defaults: org/project {your-org}/{your-project}, time range 24h, environment prod, limit 20 (max 50).
  • Always call the Sentry API (no heuristics, no caching).

If the token is missing, give the user these steps:

  1. Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/
  2. Create a token with read-only scopes such as project:read, event:read, and org:read.
  3. Set SENTRY_AUTH_TOKEN as an environment variable in their system.
  4. Offer to guide them through setting the environment variable for their OS/shell if needed.
  • Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.

Core tasks (use bundled script)

Use scripts/sentry_api.py for deterministic API calls. It handles pagination and retries once on transient errors.

Skill path (set once)

export AGENT_SKILLS_HOME="${AGENT_SKILLS_HOME:-$HOME/.agent-skills}"
export SENTRY_API="$AGENT_SKILLS_HOME/skills/sentry/scripts/sentry_api.py"

User-scoped skills install under $AGENT_SKILLS_HOME/skills (default: ~/.agent-skills/skills).

1) List issues (ordered by most recent)
python3 "$SENTRY_API" \
  list-issues \
  --org {your-org} \
  --project {your-project} \
  --environment prod \
  --time-range 24h \
  --limit 20 \
  --query "is:unresolved"
2) Resolve an issue short ID to issue ID
python3 "$SENTRY_API" \
  list-issues \
  --org {your-org} \
  --project {your-project} \
  --query "ABC-123" \
  --limit 1

Use the returned id for issue detail or events.

3) Issue detail
python3 "$SENTRY_API" \
  issue-detail \
  1234567890
4) Issue events
python3 "$SENTRY_API" \
  issue-events \
  1234567890 \
  --limit 20
5) Event detail (no stack traces by default)
python3 "$SENTRY_API" \
  event-detail \
  --org {your-org} \
  --project {your-project} \
  abcdef1234567890

API requirements

Always use these endpoints (GET only):

  • List issues: /api/0/projects/{org_slug}/{project_slug}/issues/
  • Issue detail: /api/0/issues/{issue_id}/
  • Events for issue: /api/0/issues/{issue_id}/events/
  • Event detail: /api/0/projects/{org_slug}/{project_slug}/events/{event_id}/

Inputs and defaults

  • org_slug, project_slug: default to {your-org}/{your-project} (avoid non-prod orgs).
  • time_range: default 24h (pass as statsPeriod).
  • environment: default prod.
  • limit: default 20, max 50 (paginate until limit reached).
  • search_query: optional query parameter.
  • issue_short_id: resolve via list-issues query first.

Output formatting rules

  • Issue list: show title, short_id, status, first_seen, last_seen, count, environments, top_tags; order by most recent.
  • Event detail: include culprit, timestamp, environment, release, url.
  • If no results, state explicitly.
  • Redact PII in output (emails, IPs). Do not print raw stack traces.
  • Never echo auth tokens.

Golden test inputs

  • Org: {your-org}
  • Project: {your-project}
  • Issue short ID: {ABC-123}

Example prompt: “List the top 10 open issues for prod in the last 24h.” Expected: ordered list with titles, short IDs, counts, last seen.

Comments

Markdown supported