Raworc
Enables AI assistants to seamlessly interact with Raworc's agent runtime platform via the Model Context Protocol.
About
Raworc is a production-ready Model Context Protocol (MCP) server designed to bridge AI assistants with the Raworc agent runtime platform. It provides comprehensive API coverage, allowing AI assistants to programmatically manage a wide array of Raworc resources, including service accounts, roles, spaces, sessions, agents, secrets, and builds. The server integrates smoothly with platforms like Claude Desktop, offering a robust and compliant interface for building sophisticated AI-driven workflows.
Key Features
- Production Ready with error handling, logging, and MCP protocol compliance
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- Comprehensive Agent Operations (deploy, monitor, control, manage)
- Robust Session Management (create, pause, resume, terminate, fork)
- Secure Secret Management with access controls
- Complete API Coverage for Raworc REST API endpoints
Use Cases
- Automating deployment and lifecycle management of AI agents within Raworc environments
- Programmatically managing Raworc agents, spaces, and sessions from an AI
- Integrating AI assistants with Raworc's agent runtime platform via MCP
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