Gurobi MCP
Enables AI applications to solve optimization problems including linear programming, mixed-integer programming, and quadratic programming using the Gurobi solver installed on the local device.
README
About
What is a MCP server?
Model Context Protocol (MCP) is a open protocol that standardizes how Large Language Model (LLM) applications, such as IDEs and AI, connect with external data sources, tools, and prompts. Any application that is MCP compatible can use any MCP server to connect to external sources. This allows AI applications to improve its context with access to external data sources or tools. MCP servers can include databases, research paper search tools, etc. that extends the context available to a LLM.
What is the Gurobi MCP?
This is a MCP server that connects a AI application to use gurobi solver on device to solve optimization problems formulated by the LLM. The MCP server runs on device and uses gurobi software installed on device
What problem types can I solve?
The MCP server accounts for the following problem types:
- Linear Programming (LP)
- Mixed-Integer Linear Programming (MILP)
- Quadratic Programming (QP) – convex and non-convex
- Mixed-Integer QP (MIQP)
- Quadratically Constrained Programming (QCP) – convex and non-convex
- Mixed-Integer QCP (MIQCP)
How to setup the server in Claude desktop?
Note: If Claude desktop is not already downloaded, download it here: https://claude.ai/download
- Clone the repository
git clone https://github.com/KKonuru/GurobiMCP.git
or download the project as a zip and unzip in your repo directory
- Enter the project directory, create a virtual environment, and install packages listed in requirements.txt
cd GurobiMCP
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
- Copy the full path of your python interpreter in .venv folder and the main.py file in your package. Then open claude desktop and open settings.
In settings click on the developer tab on the left side of the page. Then click open edit config which will open file explorer.
Open the file named "claude_desktop_config.json". Here modify the file such as stated below but replace the command and args with the two paths copied earlier.
{
"mcpServers": {
"gp-solver": {
"command": "/Path/to/gurobiMCP/.venv/bin/python",
"args": [
"/Path/to/gurobiMCP/main.py"
]
}
}
}
- Restart Claude desktop and the tool should appear after clicking the second icon on the left.
The prompt also appears when clicking the + icon
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。