Connect your business applications with intelligent context

The Model Context Protocol (MCP) is an open-source standard for connecting AI assistants to external systems and data sources. Klamp MCP implements this protocol to enable AI agents to securely access and interact with your business systems, APIs, and databases through standardized interfaces. This allows AI assistants to perform complex, multi-step business processes while maintaining security and governance.

Our state management engine is specifically designed for human-centric workflows. Processes can pause at any step to await human input via email, Slack, Teams, or custom interfaces. The system tracks exact state across days or weeks, automatically resuming when approvals are received. Built-in escalation rules, timeout handling, and delegation capabilities ensure processes never get stuck.

Yes, Klamp MCP is designed to work seamlessly with popular AI platforms including OpenAI, Anthropic Claude, Google Gemini, and custom LLM deployments. Our MCP implementation provides standardized connectors that allow AI agents to trigger workflows, access data, and perform actions across your entire business ecosystem while maintaining context and state.

Traditional BPM tools are heavy, process-modeling focused platforms built for the pre-cloud era. Klamp MCP combines the strategic modeling capabilities of BPM with modern cloud-native architecture, AI integration, and real-time execution. It's designed for agile businesses that need both strategic process design and practical automation execution in a single platform.

Our customers automate everything from employee onboarding and offboarding, complex quote-to-cash processes, subscription lifecycle management, multi-step marketing campaigns, compliance workflows, and financial approval chains. Any process you can map visually can be automated, including those requiring AI decision-making, human approvals, and external system interactions.

Yes, our no-code platform includes advanced features like conditional logic, data transformations, loops, and calculations that business users can configure visually. For more complex scenarios, our professional services team can implement custom functions and business rules. The platform balances no-code accessibility for business users with powerful automation capabilities.

All data flows through encrypted channels with role-based access controls, audit logging, and SOC 2 Type II compliance. The MCP protocol implementation includes secure token management, permission scoping, and data isolation. AI agents only access data and systems explicitly authorized for their specific tasks, with full activity logging for compliance reporting.

Comprehensive dashboards provide real-time visibility into process execution, performance metrics, bottleneck identification, and failure analysis. Track SLA compliance, process cycle times, error rates, and resource utilization. Custom alerts notify stakeholders of exceptions, and detailed analytics help optimize process performance over time.

Our drag-and-drop interface supports sophisticated process modeling including parallel branches, conditional logic, loops, sub-processes, and exception handling. Business analysts can model complex workflows visually using pre-built templates and components. The no-code approach makes it accessible to non-technical users while supporting enterprise-level complexity.

Yes, workflows can be initiated through multiple channels: AI agent requests via MCP protocol, API calls, webhooks, scheduled triggers, database changes, file uploads, or human actions. This flexibility enables both reactive automation (responding to events) and proactive orchestration (AI-driven process initiation).

Implementation includes process analysis, workflow design consultation, technical setup, team training, and go-live support. Ongoing support provides 24/7 technical assistance, regular platform updates, process optimization guidance, and access to our customer success team for continuous improvement initiatives.

Our professional services team specializes in process migration from legacy BPM platforms, custom workflow systems, and manual processes. We provide analysis tools to map existing processes, migration planning services, and change management support to ensure smooth transitions with minimal business disruption.

Klamp MCP includes pre-built connectors for 500+ applications plus universal API and database connectors. Custom connectors can be developed for proprietary systems through our professional services team. The platform supports modern integration patterns including REST APIs, webhooks, and event streaming for enterprise-grade system connectivity.

No, Klamp MCP is exclusively a cloud-based SaaS solution. This ensures you always have access to the latest AI integrations, security updates, and connector library without any infrastructure management. Our enterprise-grade cloud infrastructure provides 99.9% uptime SLA with global redundancy and automatic scaling optimized for AI workloads.