mcp-client-console

MCP client that connects to a remote MCP server, LLM backend (API key or local model) and preset configuration files.

Intended for use within private network for Cybersecurity purposes.

System:  {user} <--> mcp-client-console <--> network <--> {box} <--> mcp-server-remote <--> tools
Client:  {user} <--> cli.py <--> client.py <--> mcp SDK <--> * <--> mcp-server-remote

User Guide | LLM Backend Setup

Skip this section if using an API LLM connection. For a local model, set up Ollama before installing the client:

curl -fsSL https://ollama.com/install.sh | sh   # Linux. macOS: brew install ollama. Windows: winget install Ollama.Ollama
ollama pull qwen2.5:14b                         # default model in config_default.toml
ollama list                                     # confirm Ollama is running and the model is pulled

To use a different model, pull it the same way and update model under [llm.local] in your config.toml to match the tag exactly. host under [llm.local] must include the full scheme: http://127.0.0.1:11434... not 127.0.0.1:11434.

User Guide | Installation

Users:

pipx install mcp-client-console
mcp-client-console

Developers:

git clone https://github.com/geomux/mcp-client-console.git
cd mcp-client-console
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
mcp-client-console

User Guide | Configuration

First run creates a default config.toml and prints its filepath (the /config command in the terminal chat prints it too). Edit it... populate with server name, url, token:

[server]
name = "Box_1"
url = "http://127.0.0.1:9000/mcp"

User Guide | Operation

Start your MCP server first (see repos below) and confirm the client is configured to reach it. The client connects, performs the MCP handshake, and lists the server's tools. Use LLM natural language in the CLI to access tools on the remote box:

$ mcp-client-console
Connected to Box_1 @ http://127.0.0.1:9000/mcp

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Related / Required Repos

• mcp-server-remote
• mcp-sandbox-setup
• mcp-host-setup

Project Status

• Create MCP client repo
• Connect to MCP server locally
• LLM backend (API / local Ollama) added to client
• Connect to MCP server remotely (e.g. over the internet)
• Add TLS + bearer auth as requirement