MCP Agent Playbooks
Declarative workflows that AI agents execute across ComplianceHarbor and third-party MCP servers. Replace iPaaS templates with native, real-time, risk-aware automation.
How MCP Playbooks Work
Your AI agent orchestrates tools across multiple MCP servers in a single workflow. ComplianceHarbor provides risk intelligence; third-party servers provide operational context.
GitHub, Jira, ServiceNow, Okta...
48 risk intelligence tools
Gates, evidence, alerts
Playbook Library
Phase 2 playbooks covering deployment gates, CAB automation, identity risk, compliance evidence, and threat enrichment.
GitHub Deployment Gate
AI agent gets PR details via GitHub MCP, assesses change risk, evaluates rollback triggers, and creates a status check — blocking risky deployments automatically.
ServiceNow CAB Risk
Batch-assess all pending change requests from ServiceNow, generate a risk-scored CAB agenda, and write scores back to change records automatically.
Jira Sprint Risk
Assess risk for every change in the current Jira sprint, update custom fields with risk scores, and post a Slack summary for the team.
Okta Identity Risk
Ingest suspicious identity events from Okta MCP, assess risk posture, check dark web exposure, and trigger conditional security alerts.
CrowdStrike Endpoint Gate
Ingest endpoint detection data from CrowdStrike MCP, evaluate rollback triggers, and conditionally halt deployments when endpoint threats are detected.
ServiceNow Evidence Sync
Generate SHA-256 evidence receipts for ServiceNow change records, attach to the change, check compliance calendar, and file compliance reports.
Slack Compliance Alert
Check the regulatory calendar for upcoming deadlines, filter by relevance, and post evidence status dashboards to designated Slack channels.
Splunk Threat Enrichment
Run Splunk searches via MCP, triangulate CVEs, check ransomware exposure, map MITRE ATT&CK TTPs, and update Splunk notable events with enriched context.
Sentinel Threat Context
Get incident details from Microsoft Sentinel MCP, map attack surface, check patch race conditions, evaluate rollback triggers, and update the incident.
MCP Setup
Connect ComplianceHarbor to your AI agent in minutes. Works with any MCP-compatible client.
Get Your API Key
Sign in to the ComplianceHarbor portal and generate an API key from the Settings page.
Configure MCP Client
Add ComplianceHarbor as an MCP server in your AI agent’s configuration (Claude Desktop, GitHub Copilot, or any MCP client).
Run a Playbook
Give your agent a playbook prompt and let it orchestrate risk-aware workflows across your tools automatically.
Compatible MCP Servers
ComplianceHarbor playbooks work alongside these third-party MCP servers to deliver end-to-end risk-aware automation.
Why MCP Instead of iPaaS?
The Model Context Protocol enables capabilities that traditional integration platforms cannot match.
Real-Time Execution
No 5-minute polling intervals. AI agents react to events as they happen.
Conditional Logic
Agents make decisions based on risk scores — halt, escalate, or approve dynamically.
Context Normalization
Field aliases automatically map GitHub, Jira, ServiceNow fields to ComplianceHarbor inputs.
Cross-Product Workflows
Combine ThreatSight + DeployGuard + AuditReady in a single agent workflow.
Get Notified When Playbooks Launch
Join the waitlist for early access to MCP Agent Playbooks. Be the first to automate risk-aware workflows with AI agents.
Migrating from Make.com or Zapier? See the Resources page for legacy ITSM integration templates.