Rulego Server
R

Rulego Server

RuleGo-Server is a lightweight, high-performance, modular automated workflow platform based on RuleGo. It supports visual orchestration, hot updates, AI support, and multi-tenancy, and is suitable for various scenarios such as iPaaS, API orchestration, and IoT rule engines.
2.5 points
5.7K

What is RuleGo-Server MCP?

MCP (Model Context Protocol) is a service provided by RuleGo-Server. It can automatically register the components, rule chains, and APIs registered in the system as MCP tools. This enables AI assistants (such as Windsurf, Cursor, Codeium, etc.) to directly call these tools through the MCP protocol, achieving deep integration with the business system.

How to use the MCP service?

After enabling the MCP service through simple configuration, the system will automatically register eligible components and rule chains as tools. AI assistants can discover and use these tools through the standard MCP protocol.

Applicable scenarios

It is suitable for scenarios where the capabilities of the business system need to be opened for AI assistants to call, such as automated workflow orchestration, intelligent customer service, data query and processing, etc.

Main features

Automatically register tools
Automatically register components, rule chains, and APIs as MCP tools without additional development
AI assistant integration
Support mainstream AI assistants to call tools through the standard MCP protocol
Flexible configuration
Exclude components and rule chains that do not need to be registered as tools through the configuration file
Advantages
Reduce the cost of AI integration without developing separate interfaces for each AI assistant
Automatically discover system capabilities and keep tools synchronized with the system
Support fine-grained tool permission control
Limitations
AI assistants need to support the MCP protocol
Complex business logic may require designing specialized rule chains

How to use

Enable the MCP service
Set [mcp] enable = true in the config.conf configuration file
Configure tool registration options
Set whether to register components, rule chains, and APIs as tools as needed
Exclude specific tools
Exclude unwanted tools through exclude_components and exclude_chains

Usage examples

AI assistant calls the data filtering rule chain
The AI assistant discovers the data filtering rule chain tool through MCP, sends the data to be processed, and obtains the filtering result
Trigger workflows with natural language
Users describe their requirements in natural language, and the AI assistant selects the appropriate rule chain tool to execute

Frequently asked questions

How to ensure the security of the MCP service?
Why are some components not displayed as tools?
How to test if the MCP tools are available?

Related resources

MCP protocol documentation
Detailed MCP protocol specifications and implementation instructions
RuleGo-Server GitHub repository
Project source code and issue tracking
Online experience
Experience the functions of RuleGo-Server online

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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