iAbdelRahim/mcp_chat
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This project is a Python application that uses the FastMCP library to create an MCP server and interacts with the OpenAI API.
try_fastmcp
This project is a Python application that uses the FastMCP
library to create an MCP server. It also uses the openai
library to interact with the OpenAI API.
Prerequisites
- Python 3.6 or higher
- An OpenAI API key
Installation
-
Clone the repository:
git clone <repository_url> cd try_fastmcp
-
Create a virtual environment:
python -m venv env
-
Activate the virtual environment:
env\Scripts\activate
-
Install the dependencies:
pip install -r requirements.txt
-
Set the OpenAI API key:
rename
.env.example
file to.env
and fill yourOPENAI_API_KEY
Usage
To run the MCP server, execute the following command:
python server.py
To run the MCP client, execute the following command:
streamlit run client.py
Description
This MCP server provides the following tools:
get_all_datasets
: Retrieves all public datasets from the data.gouv.ci catalog.websearch_newssearch
: Fetches news articles based on a user's query.add
: Adds two numbers.subtract
: Subtracts two numbers.multiply
: Multiplies two numbers.divide
: Divides two numbers.power
: Calculates the power of two numbers.sqrt
: Calculates the square root of a number.cbrt
: Calculates the cube root of a number.factorial
: Calculates the factorial of a number.log
: Calculates the logarithm of a number.remainder
: Calculates the remainder of two numbers division.sin
: Calculates the sine of a number.cos
: Calculates the cosine of a number.tan
: Calculates the tangent of a number.
It also provides the following resource:
greeting://{name}
: Get a personalized greeting.
Contributors
- Deepseek
TODOs
- Add a "memory trimming" mechanism to limit the history length
- Implement conversation summarization for long exchanges
- Add an option to reset the conversation
- Save history in persistent storage (database, file)
- Format responses in Markdown