MCPAgentAI ๐
@mcpagents-ai
About MCPAgentAI ๐
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
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcpagentai": {
"command": "docker",
"args": [
"build",
"-t",
"mcpagentai",
"."
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCPAgentAI ๐?
MCPAgentAI ๐ 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.
How to use MCPAgentAI ๐?
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.
Key features of MCPAgentAI ๐
- Standardized tool wrapping using the MCP protocol.
- Flexible addition or removal of tools.
- Pre-built tools: Twitter, crypto, ElizaOS, weather.
- Pythonโbased with optional Docker containerization.
Use cases of MCPAgentAI ๐
- Automate Twitter interactions (tweet, reply, manage accounts).
- Fetch realโtime cryptocurrency and stock market data.
- Enhance automation with ElizaOS agent integration.
- Access weather, dictionary, and currency conversion tools.
FAQ from MCPAgentAI ๐
What is MCP and how does MCPAgentAI ๐ use it?
MCP (Model Context Protocol) is a standard for context sharing across AI models. MCPAgentAI ๐ wraps tools using the MCP protocol to enable interoperability.
How do I install MCPAgentAI ๐?
Install via pip install mcpagentai from PyPI. You can also build from source by cloning the repository and running pip install -e ..
How do I run MCPAgentAI ๐?
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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