Decisionrules MCP server
{
"mcpServers": {
"decisionrules": {
"type": "http",
"url": "https://api.decisionrules.io/mcp"
}
}
}{
"mcpServers": {
"decisionrules": {
"type": "http",
"url": "https://api.decisionrules.io/mcp"
}
}
}{
"mcpServers": {
"decisionrules": {
"type": "http",
"url": "https://api.decisionrules.io/mcp"
}
}
}{
"servers": {
"decisionrules": {
"type": "http",
"url": "https://api.decisionrules.io/mcp"
}
}
}{
"mcpServers": {
"decisionrules": {
"type": "http",
"url": "https://api.decisionrules.io/mcp"
}
}
}file .mcp.json (in your project root)file claude_desktop_config.jsonfile ~/.cursor/mcp.jsonfile .vscode/mcp.jsonfile ~/.codeium/windsurf/mcp_config.jsonversion 1.0.0
What it does
An MCP server that integrates with the DecisionRules business rules engine, allowing AI agents to create, manage, and test decision tables and rule flows. It is for developers who want to automate business logic configuration and testing through conversational AI.
- Create and modify decision tables and rule flows directly from an AI agent without manual platform access.
- Test business rules and logic against sample data to validate rule behavior before deployment.
- Manage and organize business logic rules as part of an AI-driven workflow.
Before you enable it
An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.