What runtime dependencies does MCPClient Python Application require?
Python 3.7 or higher, and packages: asyncio (included), requests, mcp, and dotenv.
MCPClient Python Application MCP Server
@spirita1204
Basic information
About MCPClient Python Application MCP Server
implementation for interacting between an MCP server and an Ollama model
MCPClient Python Application MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-client-spirita1204": {
"command": "python",
"args": [
"client.py",
"<server_script_path>"
]
}
}
}MCPClient Python Application MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCPClient Python Application?
It is a Python client application designed to interact with an MCP (Model Context Protocol) server. It provides asynchronous communication, dynamic tool management, and a command-line chat interface for developers building MCP-based tools.
How to use MCPClient Python Application?
Clone or download the script, install dependencies (pip install -r requirements.txt), create a .env file with environment variables (e.g., BASE_URL and MODEL), then run python client.py <server_script_path> where the server script can be a .py or .js file.
Key features of MCPClient Python Application
- Asynchronous communication using asyncio
- Connects to both Python and JavaScript server scripts
- Dynamically fetches and interacts with server tools
- Command-line chat interface for conversational queries
- Extracts and executes JSON tool calls from responses
- Loads environment variables from a
.envfile
Use cases of MCPClient Python Application
- Query an MCP server for information such as weather data
- Run custom tool executions through a conversational interface
- Integrate with local LLM models (e.g., llama3.2 via Ollama)
- Test and debug MCP server tool interactions interactively
Frequently asked questions
How does MCPClient Python Application connect to the MCP server?
It connects via standard input/output channels using a provided server script (Python or JavaScript).
Where does MCPClient Python Application load environment variables from?
It loads environment variables from a `.env` file in the root directory, with examples like `BASE_URL` and `MODEL`.
Can MCPClient Python Application connect to JavaScript-based servers?
Yes, the client supports both Python (`.py`) and JavaScript (`.js`) server scripts.
What transport mechanism does MCPClient Python Application use?
The client communicates with the server through standard input/output (stdio) channels.
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