Flowable vs PLCGateway AI MCP
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Flowable compared with PLCGateway AI MCP
| Detail | 
Flowable | 
PLCGateway AI MCP |
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| What it does | The Agentic Case Platform for Regulated Industries
| MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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| Stage | Established
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| Founded | 2010
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| Based in | CH
| TR
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| Pricing model | Contact for pricing
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| Pricing | Not given
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| Key features | - Agent Orchestration - agents work on real cases with people in the loop
- Policy Controls & Governance - set what agents can and cannot do at runtime
- Observability & Audit Trail - every decision traceable and logged
- Case Management - complex long-running cases with dynamic routing
- Open-Standard Engines - BPMN, CMMN, and DMN
- Enterprise Cloud - secure, scalable cloud deployment
- Human-in-the-loop - people and agents share processes with sign-off
- Seamless integrations with third-party systems via REST APIs
- AI agent integration with OpenAI, Anthropic, Azure AI, AWS Bedrock
| - Connect machines and create devices from plain language instructions
- Build process screens and report dashboards that engineers review before deployment
- Define production assets and calculate OEE for discrete, continuous or batch processes
- Query alarm statistics and production data in natural language
- Support MCP protocol over network HTTP or local stdio connections
- Works with any MCP-compatible AI client including desktop and self-hosted models
- Role-based access control matching viewer, operator and administrator permissions
- Audit logging of every write operation with user identification
- Acknowledge alarms and record batch results within user permissions
- Generate Python code examples for REST API integration
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| What makes it different | - Purpose-built for regulated industries where every action must be attributable, defensible, and reversible
- Open standards (BPMN, CMMN, DMN) prevent vendor lock-in with transparent, portable processes
- Proven at scale - trusted by 600+ enterprises, processes 1 billion events daily
- Built-in compliance and audit trails for regulated work requiring transparency and accountability
| - Built-in MCP server in every product, no separate AI add-on or cloud service needed
- Production data remains on-premise; nothing sent to cloud unless user's chosen AI model requires it
- Drafts protect production: AI-created screens and dashboards reviewed before going live
- Same access controls for AI as for people: roles, rights and logging
- Assists in user's own language and explains PLCGateway features through built-in help
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 61 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 19 | 0 |
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| Citation Flow (Majestic) | 42 | 0 |
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| Referring domains (Majestic) | 666 | 0 |
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4 details filled in for both companies.
More alternatives to Flowable More alternatives to PLCGateway AI MCP