What is MCP and how does MCPAgentAI 🚀 use it?
MCP (Model Context Protocol) is a standard for context sharing across AI models. MCPAgentAI 🚀 wraps tools using the MCP protocol to enable interoperability.
@mcpagents-ai
基本信息
Python SDK designed to simplify interactions with MCP (Model Context Protocol) servers. It provides an easy-to-use interface for connecting to MCP servers, reading resources, and calling tools
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcpagentai": {
"command": "docker",
"args": [
"build",
"-t",
"mcpagentai",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCPAgentAI 🚀 is a standardized tool wrapping framework for implementing and managing diverse tools in a unified way using the Model Context Protocol (MCP). It helps developers quickly integrate and launch tool-based use cases.
Install via PyPI (pip install mcpagentai). Run locally with mcpagentai --local-timezone "America/New_York" or in Docker. Customize tool sets by configuring agents in Python code with MultiToolAgent.
MCP (Model Context Protocol) is a standard for context sharing across AI models. MCPAgentAI 🚀 wraps tools using the MCP protocol to enable interoperability.
Install via `pip install mcpagentai` from PyPI. You can also build from source by cloning the repository and running `pip install -e .`.
Run with `mcpagentai --local-timezone "America/New_York"` for local use, or via Docker with `docker run -i --rm mcpagentai`. For custom tool sets, configure Python code using `MultiTool
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