
eunomia mcp server
Eunomia MCP Server 是一个开源工具,通过MCP框架集成在LLM应用程序中实施数据治理策略。
Repository Info
About This Server
Eunomia MCP Server 是一个开源工具,通过MCP框架集成在LLM应用程序中实施数据治理策略。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
WARNING
This MCP server is deprecated as it is not compatible with the latest developments of Eunomia. A new MCP integration is under development and will be available soon.
Eunomia MCP Server
Open Source Data Governance for LLM-based Applications — with MCP integration
Made with ❤ by the team at What About You.
Read the docs · Join the Discord
Overview
Eunomia MCP Server is an extension of the Eunomia framework that connects Eunomia instruments with MCP servers. It provides a simple way to orchestrate data governance policies (like PII detection or user access control) and seamlessly integrate them with external server processes in the MCP ecosystem.
With Eunomia MCP Server, you can:
- Enforce data governance on top of LLM or other text-based pipelines.
- Orchestrate multiple servers that communicate via the MCP framework.
Get Started
Installation
git clone https://github.com/whataboutyou-ai/eunomia-mcp-server.git
Basic Usage
Eunomia MCP Server uses the same "instrument" concept as Eunomia. By defining your set of instruments in an Orchestra, you can apply data governance policies to text streams that flow through your MCP-based servers.
Below is a simplified example of how to define application settings and run the MCP server with uv.
"""
Example Settings for MCP Orchestra Server
=========================================
This example shows how we can combine Eunomia with a web-browser-mcp-server
(https://github.com/blazickjp/web-browser-mcp-server).
"""
from pydantic_settings import BaseSettings
from pydantic import ConfigDict
from eunomia.orchestra import Orchestra
from eunomia.instruments import IdbacInstrument, PiiInstrument
class Settings(BaseSettings):
"""
Application settings class for MCP orchestra server using pydantic_settings.
Attributes:
APP_NAME (str): Name of the application
APP_VERSION (str): Current version of the application
LOG_LEVEL (str): Logging level (default: "info")
MCP_SERVERS (dict): Servers to be connected
ORCHESTRA (Orchestra): Orchestra class from Eunomia to define data governance policies
"""
APP_NAME: str = "mcp-server_orchestra"
APP_VERSION: str = "0.1.0"
LOG_LEVEL: str = "info"
MCP_SERVERS: dict = {
"web-browser-mcp-server": {
"command": "uv",
"args": [
"tool",
"run",
"web-browser-mcp-server"
],
"env": {
"REQUEST_TIMEOUT": "30"
}
}
}
ORCHESTRA: Orchestra = Orchestra(
instruments=[
PiiInstrument(entities=["EMAIL_ADDRESS", "PERSON"], edit_mode="replace"),
# You can add more instruments here
# e.g., IdbacInstrument(), etc.
]
)
Running the Server
Once your settings are defined, you can run the MCP Orchestra server by pointing uv to the directory containing your server code, for example:
uv --directory "path/to/server/" run orchestra_server
This will:
- Load the settings from
.envor environment variables. - Launch the Eunomia MCP Server to handle requests and orchestrate your external MCP server(s).
- Apply Eunomia instruments (like
PiiInstrument) to the incoming text, ensuring data governance policies are automatically enforced.
Further Reading
For more detailed usage, advanced configuration, and additional instruments, check out the following resources:
- Eunomia Documentation: Learn more about the core Eunomia framework.
- Eunomia Repository: See Eunomia source code and examples.
- MCP Documentation: Explore the Model Context Protocol specification and ecosystem.
Quick Start
Clone the repository
git clone https://github.com/whataboutyou-ai/eunomia-mcp-serverInstall dependencies
cd eunomia-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.