serac
Reduces ServiceNow integration friction and operational risk by providing 400+ pre-built tools and blast-radius analysis, enabling agents to execute changes …
A ServiceNow MCP server, and the skill guides that teach an agent to use it. 400+ snow_* tools over stdio or streamable HTTP, loaded on demand so the catalog fits a context window, plus blast-radius impact analysis. 57 ServiceNow SKILL.md guides. Works with any MCP client; on npm as @serac-labs/servicenow-mcp.
- Ask Claude to query ServiceNow incidents and filter results by priority and assignment status.
- Generate automated change tickets in ServiceNow with proper approvals and impact analysis.
- Find configuration items across your ServiceNow instance and assess blast-radius effects.
Reduces ServiceNow integration friction and operational risk by providing 400+ pre-built tools and blast-radius analysis, enabling agents to execute changes safely without custom API plumbing or manual impact assessment.
DevOps and platform engineering teams automating ServiceNow workflows and change management processes.
https://github.com/serac-labs/serac
By serac-labs
How to Get It
claude plugins install serac-labs/serac
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Query ServiceNow incidents and filter results by priority and assignment status
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 78 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 78 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.