Quickstart - Using MCPs in AI agents

pip install mcp-agents

from observee_agents import chat_with_tools

# Simple conversation with tool access
result = chat_with_tools(
    message="Search for recent news about AI developments",
    provider="anthropic",
    observee_api_key="obs_your_key_here"
)

print("🤖 AI Response:", result["content"])
print("🔧 Tools Used:", len(result["tool_calls"]))

import asyncio
from observee_agents import chat_with_tools_stream

async def stream_example():
    async for chunk in chat_with_tools_stream(
        message="Check my emails and summarize them",
        provider="anthropic"
    ):
        if chunk["type"] == "content":
            print(chunk["content"], end="", flush=True)

asyncio.run(stream_example())

# First message
result1 = chat_with_tools(
    message="Search for emails about the product launch",
    session_id="assistant_001"
)

# Follow-up (remembers context)
result2 = chat_with_tools(
    message="What date was mentioned in those emails?",
    session_id="assistant_001"  # Same session = memory
)