MCP_Client

MCP.Pizza Chef: andrewdeng318

MCP_Client is a specialized client implementation of the Model Context Protocol designed to interface with PostgreSQL databases. It allows language models to interact directly with PostgreSQL data sources, enabling real-time querying, data retrieval, and manipulation within an LLM-enhanced workflow. This client supports integration with local LLM servers such as LM Studio, facilitating secure and efficient database operations through structured context feeding. MCP_Client is ideal for developers looking to build AI applications that require dynamic access to relational data, combining the power of LLMs with robust PostgreSQL backend capabilities.

Unmaintained · No commits in 21 months.

Use This MCP client To

Query PostgreSQL databases via LLMs in real time Integrate PostgreSQL data into AI-enhanced workflows Enable LLMs to read and write relational data securely Build AI copilots with direct database access Automate data retrieval and updates using natural language Support multi-step reasoning with live database context

README

MCP PostgreSQL Client

A PostgreSQL client implementation based on the Model Context Protocol.

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Tutorial Video

For a detailed walkthrough of how to setup LM Studio, check out our tutorial videos:

YouTube Tutorial:

Bilibili Tutorial: Watch on Bilibili

Prerequisites

Install LM Studio:
- Download and install LM Studio
- Start the local server in LM Studio
- Set AI_TYPE=lm_studio in your .env file
- Make sure the local server is running before starting the application
Initialize PostgreSQL Database: First, make sure you have PostgreSQL installed and running. Then create the sample database and table:

MCP_Client FAQ

How do I set up MCP_Client with LM Studio?

Install LM Studio, start its local server, set AI_TYPE=lm_studio in your .env file, and ensure the server is running before launching MCP_Client.

What prerequisites are needed for MCP_Client?

You need a running PostgreSQL instance with the appropriate database and tables created, plus LM Studio or a compatible LLM server.

Can MCP_Client handle complex SQL queries?

Yes, MCP_Client supports executing complex queries by feeding structured context to LLMs for advanced data operations.

Is MCP_Client limited to local LLM servers?

While optimized for local servers like LM Studio, MCP_Client can be adapted to other LLM providers supporting MCP, such as OpenAI, Claude, and Gemini.

How does MCP_Client ensure secure database access?

It uses scoped, protocol-driven interactions that limit LLM access to authorized queries and data, maintaining security and observability.

Where can I find tutorials for MCP_Client?

Detailed setup and usage tutorials are available on YouTube and Bilibili, linked in the MCP_Client documentation.

Does MCP_Client support real-time data updates?

Yes, it enables LLMs to interact with live PostgreSQL data, supporting dynamic querying and updates within workflows.

What programming languages can I use with MCP_Client?

MCP_Client is protocol-based and can be integrated with any language that supports MCP client implementations.