I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Langgraph-MCP-CLIENT
Langgraph实现与PostgreSQL MCP服务器进行交互
3 years
Works with Finder
1
Github Watches
1
Github Forks
1
Github Stars
Langgraph-MCP Client for Postgresql Example
This repository demonstrates a very low level example of how to interact with an MCP server as a docker image, connected to a PostgreSQL database for LangGraph agents.
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
Prerequisites
Before you begin, ensure you have the following installed on your system:
- Docker
- PostgreSQL Database - running and populated
- MCP Servers
Flow and tools
- We use a postgresql database that the Postgresl MCP Server is aware of through the config
-
from langchain_mcp_adapters.tools import load_mcp_tools
creates the mcp tool -
create_react_agent
is a fast agent templater - we output the stream to file
Project Setup Instructions
1. Clone the Repository
Clone this repository to your local machine:
git clone https://github.com/your-repo/Langchain-MCP.git
cd Langgraph-mcp-client directory
2. Create a .env
File
Create a .env
file in the root of the repository with the following variables:
DB_HOST=<your-database-host>
DB_PORT=<your-database-port>
DB_USER=<your-database-username>
DB_PASSWORD=<your-database-password>
DB_NAME=<your-database-name>
Replace the placeholders with your actual database and MCP server connection details.
3. Install UV Package
Install the UV package globally if you haven't already:
MCP Server Setup
- Clone the repo MCP Servers to a separate directory
- Run -
docker build -t mcp/postgres -f src/postgres/Dockerfile .
to build and tag the image
Usage Instructions
1. Sync the UV Package
Run the following command to sync the UV package:
uv sync
This command ensures that the UV package installs the package correctly.
2. Run the Query Agent
Start the query agent using the following command:
uv run queryagent
This will prompt for the user query
Alt - with query (Banking database)
uv run queryagent "Who holds the most funds in thier account?"
TODO:
- Output formating
- Multi agent
Troubleshooting
-
Database Connection: Verify the
.env
file contains the correct database credentials. -
UV Package Errors: Ensure the UV CLI is installed globally and the
uv sync
command completes without errors.
Contributing
Feel free to open issues or submit pull requests to improve this repository.
License
This project is licensed under the MIT License. See the LICENSE
file for details.
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.
Therapist adept at identifying core issues and offering practical advice with images.
Reviews

user_3h3vKBem
LangGraph-MCP-Client by BrianCusack is a fantastic tool for managing and visualizing language data. It offers a user-friendly interface and robust features that make data manipulation tasks intuitive and efficient. Highly recommend for anyone working with multilingual projects! Check it out [here](https://github.com/BrianCusack/LangGraph-MCP-Client).