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Manage RDRS agents, data sources, processes, and replication tasks in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RDRS MCP Server" yet — see the docs or source repo.
List all replication tasks in RDRS and group them by running, failed, and paused. Show each task's status, latest execution time, and error summary.
A grouped list of replication tasks with status, timestamps, and error details for quick troubleshooting.
Create a new sync process between the sales database and the data warehouse. First check whether the existing data sources and agents are available, then generate the recommended replication configuration and execution steps.
An actionable sync plan including dependency checks, configuration recommendations, and implementation steps.
Review all agents and data source configurations in RDRS. Identify offline agents, data sources with connection issues, and risks that could affect replication stability, then provide remediation suggestions.
A health check report listing affected items, risk explanations, and recommended fixes.
Connect RD Station to manage contacts, deals, events, and lead scoring.
Connect ROBOT.md to MCP agents for structured manifest access and validation.
Safely query and update Big Red Cloud accounting data with AI.
Sync user profile and audience data with confirmation, verification, and rollback controls.
Manage Redmine projects, issues, and metadata through natural language commands.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.