Llm Tools Mcp
What is Llm Tools Mcp
llm-tools-mcp is a toolbox plugin designed for the MCP (Model Context Protocol) that facilitates the integration of various tools with the LLM (Large Language Model) command-line interface and Python API.
Use cases
Use cases for llm-tools-mcp include automating file reading tasks, integrating LLM capabilities into software applications, and enhancing data processing workflows with language models.
How to use
To use llm-tools-mcp, you can either utilize the LLM command-line tool by executing commands that interact with files or use the LLM Python API to integrate the MCP functionalities into your Python scripts.
Key features
Key features of llm-tools-mcp include support for reading files, integration with the LLM command-line tool, and the ability to run commands in a secure MCP Filesystem Server environment.
Where to use
llm-tools-mcp can be used in fields such as natural language processing, software development, and any application that requires interaction with large language models and file systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Llm Tools Mcp
llm-tools-mcp is a toolbox plugin designed for the MCP (Model Context Protocol) that facilitates the integration of various tools with the LLM (Large Language Model) command-line interface and Python API.
Use cases
Use cases for llm-tools-mcp include automating file reading tasks, integrating LLM capabilities into software applications, and enhancing data processing workflows with language models.
How to use
To use llm-tools-mcp, you can either utilize the LLM command-line tool by executing commands that interact with files or use the LLM Python API to integrate the MCP functionalities into your Python scripts.
Key features
Key features of llm-tools-mcp include support for reading files, integration with the LLM command-line tool, and the ability to run commands in a secure MCP Filesystem Server environment.
Where to use
llm-tools-mcp can be used in fields such as natural language processing, software development, and any application that requires interaction with large language models and file systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
llm-tools-mcp
MCP tools support
Usage
To use this with the LLM command-line tool:
$ echo "The magic word is frumble" > magic.txt
$ uv run llm --tool 'MCP(command="npx", args=["-y", "@modelcontextprotocol/server-filesystem", "."])' "What is the magic word in the file ./magic.txt?" --tools-debug
Secure MCP Filesystem Server running on stdio
Allowed directories: [ '/Users/aw/Projects/rectalogic/llm-tools-mcp' ]
Tool call: read_file({'path': './magic.txt'})
"CallToolResult(meta=None, content=[TextContent(type='text', text='The magic word is frumble\\n', annotations=None)], isError=False)"
The magic word in the file `magic.txt` is **frumble**.
With the LLM Python API:
import llm
from llm_tools_mcp import MCP
model = llm.get_model("gpt-4.1-mini")
result = model.chain(
"Example prompt goes here",
tools=[MCP(command="npx", args=["-y", "@modelcontextprotocol/server-filesystem", "."])]
).text()
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-tools-mcp
uv sync
To run the tests:
uv run pytest
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
