Ummon
Unlock code insights with knowledge graphs: Connect code to concepts, query with ease, empower AI assistance.
What is Ummon?
What is Ummon? Ummon is a code analysis tool that builds knowledge graphs from codebases to enhance understanding, improve AI assistance, and enable sophisticated querying. It connects code entities to domain concepts, making it easier to reason about complex software systems. How to use Ummon? To use Ummon, install it via Cargo, index your codebase, and then use the command line to query the knowledge graph or assist with code recommendations. Key features of Ummon? Knowledge graph construction for semantic representation of code. Advanced querying system using natural language or grep-like flags. Domain model extraction using LLMs to bridge technical and business understanding. Integration with AI agents through the Model Context Protocol (MCP). Use cases of Ummon? Analyzing complex software systems for better understanding. Assisting AI agents in exploring code relationships. Extracting domain models to align technical implementation with business concepts. FAQ from Ummon? What programming languages does Ummon support? Ummon supports Rust, Python, JavaScript, and Java. Is Ummon stable for production use? No, Ummon is currently in early development and may have unstable APIs. How can I contribute to Ummon? You can contribute by reporting issues, suggesting features, or submitting pull requests on GitHub.
As an MCP (Model Context Protocol) server, Ummon enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Ummon
To use Ummon, install it via Cargo, index your codebase, and then use the command line to query the knowledge graph or assist with code recommendations. Key features of Ummon? Knowledge graph construction for semantic representation of code. Advanced querying system using natural language or grep-like flags. Domain model extraction using LLMs to bridge technical and business understanding. Integration with AI agents through the Model Context Protocol (MCP). Use cases of Ummon? Analyzing complex software systems for better understanding. Assisting AI agents in exploring code relationships. Extracting domain models to align technical implementation with business concepts. FAQ from Ummon? What programming languages does Ummon support? Ummon supports Rust, Python, JavaScript, and Java. Is Ummon stable for production use? No, Ummon is currently in early development and may have unstable APIs. How can I contribute to Ummon? You can contribute by reporting issues, suggesting features, or submitting pull requests on GitHub.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Ummon can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Ummon provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.