MCP-dev
Custom MCP tools for local development that enable file system access, shell command execution, and web resource browsing. Designed for local use with safety considerations for potentially destructive operations.
README
MCP-dev
Some custom MCP tools for local use. By Martin Dittus in Sept 2025.
https://github.com/dekstop/MCP-dev
Install
Checkout to a local dir.
Set up a virtualenv, activate it, then install the dependencies:
python3 -m venv .venv --prompt MCP-dev
source .venv/bin/activate
python3 -m pip install -r requirements.txt
Setup
Register the MCP server in your MCP client.
To be safe, it is recommended to only auto-allow non-destructive tool calls -- tool calls like create_file, run_shell_command, and open_link are best treated with caution and reviewed before every call. But you do you.
LM Studio
Click Show Settings, select the Program tab, click the Install dropdown, select Edit mcp.json. Add the following:
{
"mcpServers": {
"MyCustomMCPTools": {
"command": "sh",
"args": [
"/path/to/MCP-dev/run.sh"
]
}
}
}
Click Save. In the Program tab a new MCP server has now appeared under the name mcp/my-custom-mcp-tools, click its toggle to enable it globally. Alternatively, enable it selectively per chat via the Integrations menu in the chat message form.
Optional: add system prompt
Add something like the following to your query context, e.g. your Preset system prompt in LM Studio:
Access web resources for any questions that require up to date information. Prioritise official sources such as Wikipedia, BBC, the Financial Times, and others. Prioritise facts over speculation. Don't consult sources that are known to exaggerate, drive scandal, or cause division.
You can access the local file system. Assume a MacOS directory structure.
You can create python scripts and run them. Any scripts and other files need to be saved in the sandbox directory. Don't install any new python libraries. You can run commands to test if a python library is installed.
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。