The missing link between AI reasoning and enterprise execution
AI assistants are learning to reason better every day, but they still struggle to interact with the enterprise workflows that run your business. Without a standardized, governed way to connect AI to operational systems, every new implementation means more custom integration work and slower time-to-value across the business.
- AI assistants stop at recommendations instead of taking action
- Every new AI tool introduces more integration work
- Existing workflow automation remains disconnected from AI
- Governance becomes more difficult as AI adoption grows
Faster AI adoption and enterprise-scale automation you can trust
RunMyJobs pairs a production-ready MCP server with enterprise workload automation, so AI agents operate within your existing governance model.
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Production-ready MCP
Deploy a standardized MCP server that connects every compatible AI assistant to your enterprise workflows.
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Governed by design
Apply existing access controls, partition isolation and audit trails to every AI-initiated workflow action automatically.
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Instant workflow access
Expose the business logic you’ve built over years to MCP-compatible AI agents on demand.
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Zero custom integrations
Replace bespoke APIs with one standardized connection that evolves with your AI ecosystem.
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Cross-platform orchestration
Trigger, monitor and manage workflows across SAP, Oracle, cloud platforms and business applications.
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Mission-critical at scale
Access 50+ governed MCP tools on a proven SaaS automation platform trusted to run mission-critical operations.
More than MCP: Agentic AI orchestration
The MCP server is one of several AI capabilities in RunMyJobs that help you connect, build, execute and manage AI-powered enterprise workflows. Bring these capabilities together to accelerate your path to autonomous enterprise operations.
How teams are taking the governed path to AI execution
Development, IT Operations and business teams use MCP server workflow automation to securely execute enterprise workflows from the AI tools they already use.
Give developers using Claude Code, Cursor or MCP-compatible AI coding assistants direct access to RunMyJobs. Build, test and deploy automation through natural language while governance controls keep every action within approved boundaries.
- Promote configurations from test to production
- Submit and monitor jobs without console switching
- Verify deployed versions across environments
- Eliminate custom API wrappers for every AI tool
Manage enterprise automation through Microsoft Copilot, Claude or another AI assistant using natural language. Securely interact with RunMyJobs with existing governance and audit controls across every action automatically.
- Restart failed workflows without opening RunMyJobs
- Submit jobs and raise events from chat
- Respond to operator messages faster
- Check platform health with a conversational prompt
Give business users a governed, natural-language path to RunMyJobs through Microsoft Copilot or any MCP-compatible AI assistant. Every workflow action follows existing access controls without additional configuration or custom middleware.
- Trigger business-owned workflows from AI
- Monitor execution without platform access
- Receive status updates in your AI assistant
- Respect existing RBAC and partition boundaries
Bank on security, scale and 30 years of automation expertise
Governance and connectivity matter. RunMyJobs delivers both, backed by decades of proven reliability and the trust of 50% of the Fortune 50.
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Certified enterprise security
ISO/IEC 27001, SOC 2 Type II and CSA Star Level 2 certifications across the full platform
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99.95% uptime SLA
The only SaaS workload automation platform with this guarantee
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No infrastructure overhead
New AI capabilities arrive without touching your infrastructure
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Model-agnostic AI
Works with Microsoft Copilot, Claude Code, SAP’s Joule and any MCP-compatible AI assistant
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SAP Endorsed App
Meets SAP’s highest standards for security, performance and integration
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4+ billion annual SaaS executions
Billions of automated processes executed across enterprise environments each year
More on MCP and agentic AI
Learn more about the AI applications made possible with Redwood’s MCP server.
MCP server FAQs
Do I need to rebuild my existing automation estate to use the MCP server?
No. The Model Context Protocol is an open standard that lets AI agents connect to external tools through a standardized interface. Your existing workflows stay exactly where they are — MCP exposes them without requiring migration or refactoring.
RunMyJobs by Redwood exposes the automation workflows, connectors and business logic you’ve already built as governed MCP tools, accessible to any MCP-compatible AI assistant through a standardized MCP client. Developers using Claude Desktop, Claude Code or agentic AI frameworks like LangChain can reach RunMyJobs workflows without rebuilding integrations for each new model.
What is an MCP server?
An MCP Server is a component in the Model Context Protocol architecture that exposes tools, data and capabilities to AI agents through a standardized interface, so any compatible AI model can connect without custom integrations.
Is MCP server access secure?
Yes. The Model Context Protocol supports OAuth 2.0 authentication for MCP client connections, and access control policies govern what each connected AI agent or large language model can do. Observability and auditability complete the governance picture.
Security in any MCP server deployment depends on the platform behind it. In multi-agent systems, access control is critical. Each agent should only act within its defined scope, and remote MCP servers extend that surface further. RunMyJobs by Redwood builds governance in by default: OAuth 2.0 authentication, role-based access control (RBAC), partition isolation and full auditability apply to every AI-initiated action automatically. ISO/IEC 27001, SOC 2 Type II and CSA Star Level 2 certifications cover the underlying platform.