Which LLM providers does mcpTerm support?
Currently only DeepSeek. The README states “currently only supports deepseek.”
@VivekMara
Basic information
a cli for interacting with mcp servers using your favourite llms
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcpTerm": {
"command": "uv",
"args": [
"run",
"main.py"
]
}
}
}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.
mcpTerm is a command-line interface for interacting with MCP servers using large language models. It currently supports DeepSeek as the LLM provider and is intended for developers who want to manage MCP tools from a terminal.
Install uv, clone the repository, run uv sync to install dependencies, and add a .env file containing deepseek-api-key. Start the tool with uv run main.py. To use your own MCP servers, add the server file into the mcp_servers directory.
uv and a single .env filemcp_servers/Currently only DeepSeek. The README states “currently only supports deepseek.”
Ensure `uv` is installed, then run `git clone https://github.com/VivekMara/mcpTerm && cd mcpTerm && uv sync`.
Create a `.env` file in the project directory with the key name `deepseek-api-key`.
Add the MCP server file into the `mcp_servers` directory.
It requires `uv` (the Astral package manager) and a Python environment (installed via `uv sync`). No other runtime is specified.
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