- Uniquity Mcp Server
Uniquity Mcp Server
Uniquity MCP Server is a server that makes the functions of UniquityReporter available to external tools and AI agents via MCP (Model Context Protocol).
UniquityReporter: UniquityReporter
Enables the analysis functions of UniquityReporter to be called from MCP Host or AI agents.
Separates core logic and interface to improve maintainability and extensibility.
Makes it available from various clients through a standardized protocol.
Content
Uniquity MCP Server
Overview
Uniquity MCP Server is a server that makes the functions of UniquityReporter available to external tools and AI agents via MCP (Model Context Protocol).
UniquityReporter: UniquityReporter
- Enables the analysis functions of UniquityReporter to be called from MCP Host or AI agents.
- Separates core logic and interface to improve maintainability and extensibility.
- Makes it available from various clients through a standardized protocol.
Release Note
- 0.1.0
- Initial version
MCP Host Settings
Required and Optional Environment Variables
- Required (Must be passed from MCP Host)
GITHUB_TOKEN: Token for GitHub APIOPENAI_API_KEY: OpenAI API keyTAVILY_API_KEY: Tavily API key
- Optional (If not specified, the default values in config/config.js will be used)
openaiModel: Name of the OpenAI model to use (e.g., o3-mini, gpt-4.1-nano, etc.)logEnabled: Enable/disable log output (on/off)
Example MCP Host Configuration
{
"uniquity-mcp": {
"command": "npx",
"args": [
"-y",
"uniquity-mcp@latest"
],
"env": {
"GITHUB_TOKEN": "{apikey}",
"OPENAI_API_KEY": "{apikey}",
"TAVILY_API_KEY": "{apikey}"
}
}
}
- Secrets in env settings are required.
- This MCP does not support report and log file saving.
- If file saving is required, save the standard output to a file on the Host side.
List of Provided Tools (MCP Server)
1. analyze_repository
- Description: Generates a similarity analysis report for the specified GitHub repository. The report is always returned in Markdown format to standard output.
- Return Value: Report body in Markdown format (standard output)
| Argument | Type | Required | Description |
|---|---|---|---|
| repositoryUrl | string | Yes | GitHub repository URL to analyze |
| openaiModel | string | No | Name of the OpenAI model to use (e.g., o3-mini, gpt-4.1-nano, etc.) |
| logEnabled | string | No | Enable/disable log output (on/off, default: off) |
2. list_tools
- Description: Returns a list of tools provided by the MCP Server and their specifications (arguments and return values).
- Return Value: Array of tools available in the MCP Server (including name, description, parameterSchema, returnSchema for each tool)
| Argument | Type | Required | Description |
|---|---|---|---|
| None |
This makes it clear to MCP Hosts and clients "what tools are available" and "how to call them."
Notes
- MCP Server supports standard output only.
openaiModelandlogEnabledcan be dynamically specified as tool arguments.- Optional values can be omitted, and if omitted, the default values of UniquityReporter will be used.
Version Management of Dependency Package (uniquity-reporter)
-
The dependency of
uniquity-reporterinpackage.jsonis specified as^1.4.4.- This allows minor and patch updates to be automatically followed, but major version updates (such as 2.x) will not be automatically followed.
- If you want to guarantee "always the latest," perform version updates and releases of the MCP Server itself, and recommend users to use
npx uniquity-mcp@latest.
-
Note on npx Cache Behavior
- npx caches the retrieved packages and dependencies.
- If you want to always use the latest version of the package and dependencies, explicitly specify
"uniquity-mcp@latest"as in the MCP Host configuration example, and guide users to clear the cache (npx clear-npx-cache, etc.) for safety.
-
If there are specification changes or significant updates to the dependency package, promptly version up the MCP Server and announce it in the release notes or README.
Architecture Overview
- This repository manages only the implementation of the MCP Server and depends on the
uniquity-reporternpm package for core logic. - Receives requests from MCP Host, calls UniquityReporter CLI, and returns the results.
- Uses standard input/output (stdin/stdout) based inter-process communication.
- Reports are always output to standard output and are not saved to files.
Architecture Diagram
graph LR
subgraph MCP Host
Client[Client Application]
end
subgraph MCP Server
Server[Uniquity MCP Server]
Server -->|Command Execution| UniquityReporter[UniquityReporter CLI]
end
subgraph External Services
GitHub[GitHub API]
OpenAI[OpenAI API]
Tavily[Tavily API]
end
Client -- MCP Protocol --> Server
Server -- JSON Response --> Client
UniquityReporter -- Repository Analysis --> GitHub
UniquityReporter -- Code Analysis --> OpenAI
UniquityReporter -- Web Search --> Tavily
Technology Stack
- Runtime: Node.js 18+
- Main Packages:
@modelcontextprotocol/sdk: MCP protocol implementationuniquity-reporter: Core analysis enginewinston: Loggingdotenv: Environment variable management
- Development Tools:
- TypeScript
- ESLint
- Prettier
- Jest (Testing)
Project Structure
uniquity-mcp/
├── uniquity-mcp/ # Main Project
│ ├── src/
│ │ └── index.js # Entry Point
│ └── package.json
├── .github/ # GitHub Actions Configuration
└── README.md # This File
Development Guide
Installation
Installing Dependencies
# Install dependency packages
pnpm install
# Install including development dependencies
pnpm install --dev
Build
pnpm run build
Start in Development Mode
pnpm run dev
Usage
Starting the MCP Server
# After building
node dist/index.js
# Or run directly
pnpm start
Starting the Development Server
# Start in development mode (with hot reload)
pnpm run dev
# Build and then run
pnpm run build
pnpm start
License
MIT License
Author
Server Config
{
"mcpServers": {
"uniquity-mcp": {
"command": "npx",
"args": [
"-y",
"uniquity-mcp@latest"
],
"env": {
"GITHUB_TOKEN": "{apikey}",
"OPENAI_API_KEY": "{apikey}",
"TAVILY_API_KEY": "{apikey}"
}
}
}
}Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Serper MCP ServerA Serper MCP Server
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Playwright McpPlaywright MCP server
ChatWiseThe second fastest AI chatbot™
Amap Maps高德地图官方 MCP Server
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
WindsurfThe new purpose-built IDE to harness magic
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Tavily Mcp
DeepChatYour AI Partner on Desktop
CursorThe AI Code Editor