Meside
What is Meside
Meside is an open-source, AI-driven MCP Client and Data Warehouse MCP Server designed to automate data analysis processes using multiple agents and model context protocols.
Use cases
Use cases for Meside include automating data integration tasks, enhancing data quality through AI-driven transformations, and facilitating real-time data analysis in business applications.
How to use
To use Meside, clone the repository from GitHub, install the necessary dependencies using Bun, and set up the environment variables and database configurations as outlined in the installation guide.
Key features
Key features include AI-powered transformations for data pattern detection, an extensible architecture for custom models, real-time debugging with interactive previews, multi-format support for data conversion, and metadata awareness to preserve data context.
Where to use
Meside can be used in various fields such as data analysis, data warehousing, business intelligence, and any application requiring ETL processes with structured and semi-structured data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Meside
Meside is an open-source, AI-driven MCP Client and Data Warehouse MCP Server designed to automate data analysis processes using multiple agents and model context protocols.
Use cases
Use cases for Meside include automating data integration tasks, enhancing data quality through AI-driven transformations, and facilitating real-time data analysis in business applications.
How to use
To use Meside, clone the repository from GitHub, install the necessary dependencies using Bun, and set up the environment variables and database configurations as outlined in the installation guide.
Key features
Key features include AI-powered transformations for data pattern detection, an extensible architecture for custom models, real-time debugging with interactive previews, multi-format support for data conversion, and metadata awareness to preserve data context.
Where to use
Meside can be used in various fields such as data analysis, data warehousing, business intelligence, and any application requiring ETL processes with structured and semi-structured data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
meside
The Multi AI Agent and Data Analysis Tool
Note: Meside is under active development. Expect breaking changes in early versions.
- Supported databases: PostgreSQL, BigQuery, MySQL, OracleDB
- Databases to be supported: Clickhouse, Snowflake, SQLite, SQLServer
Meside is an open-source, AI-driven MCP Client and Data Warehouse MCP Server. By integrating AI agents, Meside automates schema inference, format conversion, and data normalization, reducing manual effort in ETL (Extract, Transform, Load) processes. Built for flexibility, it supports structured and semi-structured data formats like JSON, CSV, and XML, with plans to expand to unstructured data.
Key Features
- AI-Powered Transformations: Leverage pre-trained models to auto-detect data patterns and suggest optimizations.
- Extensible Architecture: Plugin system for custom AI models or transformation rules.
- Real-Time Debugging: Interactive previews of transformation steps.
- Multi-Format Support: Seamlessly convert between JSON, CSV, YAML, and more.
- Metadata Awareness: Preserve and enrich data context during transformations.
Run Meside locally
docker compose -f deployment/docker-compose.yml up
# Open http://localhost:9000/ in the browser
Installation & Setup in development
Look into CONTRIBUTING.md.
Contributing
Follow these steps:
- Fork the repository and create a feature branch.
- Adhere to the coding standards in CONTRIBUTING.md.
- Submit a pull request with detailed documentation.
License
Distributed under the MIT License. See LICENSE for details.
Disclaimer
Meside is in alpha. APIs and workflows may change without notice. Use in production at your own risk.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
