Context Server
Enables AI models, such as LM Studio, to securely interact with local data and custom tools by implementing the Model Context Protocol.
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This project functions as a backend server implementing the Model Context Protocol (MCP), designed to empower AI models like LM Studio with secure access to local data and custom processing capabilities. It bridges the gap between AI agents and your local file system, allowing models to process and analyze data in formats such as CSV and Parquet. By providing a structured way for AI to interact with user-defined tools and data, it extends the practical utility of large language models for tasks involving local information.
Características Principales
- Seamless integration and auto-start capability with LM Studio
- Leverages `uv` for fast and efficient Python dependency management
- Provides secure access to local CSV and Parquet data files
- Offers custom tools for data processing and analysis
- 1 GitHub stars
- Implements the Model Context Protocol (MCP) for AI interaction
Casos de Uso
- Empowering AI agents with custom data processing and summarization capabilities
- Connecting AI models in LM Studio to local datasets for analysis
- Extending AI model functionality to interact with user-specific data formats like CSV and Parquet
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