About Intelligent AI Assistant Using FastMCP And LangGraph
Intelligent AI Assistant Using FastMCP And LangGraph is an MCP server in the Agents category: intelligent AI Assistant Using FastMCP and LangGraph is a protocol-based assistant that connects AI with tools using Model Context Protocol (MCP). It uses FastMCP servers for tool endpoints, LangGraph ReAct for smart tool choice, and a Streamlit chat app for easy use.
Install
git clone https://github.com/ItsmeBlackOps/Intelligent-AI-Assistant-Using-FastMCP-and-LangGraphThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Execution Instructions
Python version 3.12
To create a virtual environment and install requirements in Python 3.12 on different operating systems, follow the instructions below:
For Windows:
Open the Command Prompt by pressing Win + R, typing cmd, and pressing Enter.
Change the directory to the desired location for your project:
cd C:\path\to\project
Create a new virtual environment using the venv module:
python -m venv myenv
Activate the virtual environment:
myenv\Scripts\activate
Install the project requirements using pip:
pip install -r requirements.txt
For Linux/Mac:
Open a terminal.
Change the directory to the desired location for your project:
cd /path/to/project
Create a new virtual environment using the venv module:
python3.12 -m venv myenv
Activate the virtual environment:
source myenv/bin/activate
Install the project requirements using pip:
pip install -r requirements.txt
These instructions assume you have Python 3.12 installed and added to your system's PATH variable.
Execution Instructions if Multiple Python Versions Installed
If you have multiple Python versions installed on your system, you can use the Python Launcher to create a virtual environment with Python 3.12. Specify the version using the -p or --python flag. Follow the instructions below:
For Windows:
Open the Command Prompt by pressing Win + R, typing cmd, and pressing Enter.
Change the directory to the desired location for your project:
cd C:\path\to\project
Create a new virtual environment using the Python Launcher:
py -3.12 -m venv myenv
Note: Replace
myenvwith your desired virtual environment name.
Activate the virtual environment:
myenv\Scripts\activate
Install the project requirements using pip:
pip install -r requirements.txt
For Linux/Mac:
Open a terminal.
Change the directory to the desired location for your project:
cd /path/to/project
Create a new virtual environment using the Python Launcher:
python3.12 -m venv myenv
Note: Replace
myenvwith your desired virtual environment name.
Activate the virtual environment:
source myenv/bin/activate
Install the project requirements using pip:
pip install -r requirements.txt
By specifying the version using py -3.12 or python3.12, you can ensure that the virtual environment is created using Python 3.12 specifically, even if you have other Python versions installed.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.