agentic_actions_mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agentic_actions_mcplist files in current directory"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agentic Actions
A Python implementation of agentic actions for the MCP protocol.
Related MCP server: llm-file-operations-agent
HOW TO USE THIS MCP PACKAGE?
EXAMPLE:
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
import asyncio
import os
async def main():
client = MultiServerMCPClient(
{
"agentic_actions_mcp": {
"transport": "stdio",
"command": "uvx",
"args": ["agentic_terminal"]
}
}
)
tools = await client.get_tools()
print("\nAvailable tools:")
for tool in tools:
print(tool.name)
agent = create_agent(
model="ollama:llama3.2:latest",
tools=tools,
system_prompt='''
You are a helpful assistant.
You have access to the tools that helps you to perform various File IO operations.
you can manage files, read and write data, and perform other file-related tasks.
''',
)
response = await agent.ainvoke(
{"messages": [
{
"role": "user",
"content": "hii, what can you do for me?"
}
]}
)
print("\n\nResponse:")
print(response["messages"][-1].content)
if __name__ == "__main__":
asyncio.run(main())
This server cannot be installed
Maintenance
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