Local MCP Client

Local MCP Client是一个跨平台的Web和API接口工具，通过自然语言与可配置的MCP服务器交互，支持本地LLM模型和Ollama，实现结构化工具执行和动态代理行为。

安全开发者工具 #自然语言交互 #跨平台 #本地LLM #动态代理 .Python

评分 : 2.5分

下载量 : 9.2K

更新时间 : 2025-04-28

打开站点

What is Local MCP Client?

Local MCP Client is a tool that lets you communicate with configurable MCP servers using everyday language. It acts as a bridge between you and technical server operations, making complex tasks accessible through simple conversations.

How does it work?

The system uses Ollama and local language models to understand your requests, then translates them into technical commands for MCP servers. You get structured responses without needing to learn complex syntax.

When should I use it?

Ideal for security researchers, malware analysts, and developers who need to interact with MCP servers but prefer natural language interfaces over command-line tools.

Key Features

Cross-Platform Support

Works on Windows, Mac, and Linux systems with consistent experience across platforms.

Natural Language Interface

Interact with technical servers using everyday language instead of complex commands.

Local LLM Integration

Advantages

No need to learn complex server commands

Works offline with local language models

Privacy-focused as data stays on your machine

Unified interface for different MCP servers

Limitations

Requires local LLM setup (Ollama)

Performance depends on your local hardware

May not cover all advanced server features

Getting Started

Set Up Environment

Create a virtual environment to keep dependencies organized.

Install Requirements

Install all necessary Python packages.

Set Up Ollama

Install Ollama and download a language model.

Configure MCP Servers

Clone and set up your MCP server repositories.

Run the Client

Start the local MCP client interface.

Example Scenarios

Malware Analysis Query

Ask about recent malware samples in natural language

Server Status Check

Check the status of connected MCP servers

Frequently Asked Questions

What hardware do I need to run this?

Can I use cloud-based LLMs instead of local ones?

How do I add more MCP servers?

Additional Resources

Ollama Documentation

Official guides for installing and using Ollama

MalwareBazaar MCP GitHub

Repository for the MalwareBazaar MCP server

Binja Lattice MCP

Binary Ninja integration for MCP

🚀 本地 MCP 客户端

本地 MCP 客户端是一个跨平台的网页和 API 接口，可通过自然语言与可配置的 MCP 服务器进行交互。它由 Ollama 和任何本地大语言模型（LLM）驱动，支持结构化工具执行和动态代理行为。

🚀 快速开始

✨ 主要特性

跨平台：支持在 MAC、Linux 和 Windows 系统上使用。
自然语言交互：通过自然语言与 MCP 服务器交互。
由 Ollama 和本地 LLM 驱动：提供灵活的语言处理能力。
支持结构化工具执行和动态代理行为。

📦 安装指南

创建虚拟环境并安装依赖项

MAC/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh
cd Local_MCP_Client
uv init .
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt

Windows

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
cd Local_MCP_Client
uv init .
uv venv
.venv\Scripts\activate
uv pip install -r requirements.txt

安装 Ollama 并拉取 LLM 模型

MAC

brew install ollama
ollama serve
ollama pull llama3:8b

Linux

curl -fsSL https://ollama.com/install.sh | sh
ollama serve
ollama pull llama3:8b

Windows

在此处下载 Ollama HERE

ollama serve
ollama pull llama3:8b

克隆 MCP 服务器

MAC/Linux

cd ~/Documents
git clone https://github.com/mytechnotalent/MalwareBazaar_MCP.git
git clone https://github.com/Invoke-RE/binja-lattice-mcp

Windows

cd "$HOME\Documents"
git clone https://github.com/mytechnotalent/MalwareBazaar_MCP.git
git clone https://github.com/Invoke-RE/binja-lattice-mcp

💻 使用示例

运行 Ollama

ollama serve

运行 MCP 客户端

MAC/Linux

export BNJLAT = "<your-binja-api-token>"
uv run local_mcp_client.py

Windows

$env:BNJLAT = "<your-binja-api-token>"
uv run local_mcp_client.py

运行测试

python -m unittest discover -s tests

uv pip install coverage==7.8.0
coverage run --branch -m unittest discover -s tests
coverage report -m
coverage html
open htmlcov/index.html  # MAC
xdg-open htmlcov/index.html  # Linux
start htmlcov\index.html  # Windows
coverage erase