Uniquity
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Enables external tools and AI agents to access and utilize UniquityReporter's analysis functions via the Model Context Protocol (MCP).
About
Uniquity provides a server that exposes the powerful analysis capabilities of UniquityReporter through the Model Context Protocol. This allows AI agents and external applications to leverage UniquityReporter's functionality, such as repository analysis and code similarity detection, via a standardized protocol. By separating core logic from the interface, Uniquity promotes maintainability, extensibility, and accessibility for diverse clients.
Key Features
- Uses standard input/output (stdin/stdout) for inter-process communication
- Supports multiple OpenAI models
- Compatible with MCP Hosts and AI agents
- Supports dynamic specification of OpenAI model and logging options
- Provides repository similarity analysis via MCP
- 0 GitHub stars
Use Cases
- Extending the capabilities of MCP Hosts with code analysis functions
- Integrating repository analysis into AI agent workflows
- Automating code similarity checks for software projects
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