B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
App connector · Cloud & infrastructure
activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
- Popularity score
- 49/100
- Rank
- #136 of 500
- GitHub stars
- 25.1k
What it does
Activepieces is an open-source workflow automation platform that enables AI agents to connect with hundreds of external services and APIs through MCP (Model Context Protocol) connectors. It provides a no-code/low-code interface for building and orchestrating AI workflows that integrate third-party applications.
Who it’s for
DevOps engineers, automation builders, and organizations seeking an open-source alternative to Zapier or Make for AI-driven workflow automation. Teams that want to self-host workflow infrastructure and maintain control over integrations and data.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
Verify against the repo README at https://github.com/activepieces/activepieces (opens external site) for current setup instructions. Typical approaches include Docker deployment or npm installation; consult official documentation for MCP server configuration specific to your AI agent framework.
Risks
- Credential scope: MCP connectors may require broad API tokens or OAuth scopes; verify each integration requests only necessary permissions
- Supply-chain exposure: 400+ third-party connectors increase surface area for compromised or unmaintained dependencies
- Prompt injection: Workflow automation can be sensitive to malicious input; sanitize external data flowing into agent prompts
- Data exfiltration: Workflows moving data between services may lack encryption in transit or at rest; audit sensitive data flows
- Maintenance risk: Community-driven connectors may lack security updates; prioritize official, actively maintained integrations
How to stay secure
Least-privilege permissions
- Request connector scopes granularly: audit each MCP's OAuth/API token requirements and deny read-all or write-all permissions
- Use service accounts with minimal scope instead of personal API keys; rotate credentials every 90 days
- Implement role-based access control (RBAC) at the Activepieces instance level; restrict who can add connectors and deploy workflows
- Store credentials in a secrets manager (HashiCorp Vault, AWS Secrets Manager) rather than plaintext in Activepieces config
Network isolation
- Deploy Activepieces in a VPC with egress filtering; whitelist only required third-party API endpoints by domain/IP
- Run connector execution in sandboxed containers with network policies that block lateral movement to internal services
- Disable direct database access from workflows; use read-only database connectors where available
- Implement VPN or private endpoints for sensitive integrations (HR, finance, healthcare systems)
Monitoring
- Log all connector authentications, permission changes, and data operations; ship logs to SIEM with alerting on anomalies
- Monitor for unusual API call patterns: spikes in data volume, failed auth attempts, or requests to unexpected endpoints
- Set up alerts on workflow deployment changes, especially those adding new connectors or escalating permissions
- Audit credential usage monthly: identify stale tokens, unused connectors, and overprivileged integrations
Red flags to watch for
- Third-party connectors with no recent GitHub commits, unresponded security issues, or unmaintained dependencies (check npm audit, known CVEs)
- Workflows that concatenate user input directly into prompts without sanitization; enforce templating with escaped variables
- Data flows moving PII/secrets to external SaaS without transport encryption (TLS 1.3+) or at-rest encryption agreements
- Connectors requesting scopes unrelated to their advertised function (e.g., a "send email" connector asking for database read access)
Alternatives
- Make (Integromat) – Commercial workflow automation with built-in MCP support and managed security
- Zapier – SaaS workflow platform with extensive app ecosystem and enterprise compliance features
- n8n – Open-source workflow automation with self-hosting option and native MCP integration
- Temporal – Durable workflow orchestration engine for microservices and complex agent coordination