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Documentation Index

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Use this file to discover all available pages before exploring further.

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Tool Integration

Patterns for giving agents access to external tools, APIs, and functions.

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Function Tools

Define Python functions as tools. 
from agno import Agent

def get_weather(location: str) -> dict:
    """Get weather for a location."""
    # Implementation
    return {"temp": 72, "condition": "sunny"}

agent = Agent(
    model=OpenAI(id="gpt-4o"),
    tools=[get_weather],
    show_tool_calls=True
)

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Built-in Tools

Use pre-built tools from frameworks. 
from agno.tools import DuckDuckGoTools, FileTools

agent = Agent(
    tools=[DuckDuckGoTools(), FileTools()]
)

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Third-Party Tools

Integrate external services. 
from langchain.tools import TavilySearchResults
from langchain.agents import initialize_agent

search = TavilySearchResults(api_key=api_key)

agent = initialize_agent(
    tools=[search],
    llm=llm,
    agent_type="openai-functions"
)

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MCP Tools

Model Context Protocol for standardized tool access. 
from agno.tools.mcp import MCPTools

# GitHub MCP
github_mcp = MCPTools(
    server_script="npx",
    server_args=["-y", "@modelcontextprotocol/server-github"],
    env={"GITHUB_PERSONAL_ACCESS_TOKEN": token}
)

agent = Agent(tools=[github_mcp])

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Tool Configuration

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name
string
required
Tool name for agent to reference
​
description
string
required
Clear description of what tool does and when to use it
​
parameters
object
JSON schema of tool parameters

MCP Agents

Learn about MCP integrations

Framework Guides

Framework-specific tool patterns