> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/Shubhamsaboo/awesome-llm-apps/llms.txt
> Use this file to discover all available pages before exploring further.
# Tool Integration
> Patterns for integrating tools and APIs with AI agents
# Tool Integration
Patterns for giving agents access to external tools, APIs, and functions.
## Function Tools
Define Python functions as tools.
```python theme={null}
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
)
```
## Built-in Tools
Use pre-built tools from frameworks.
```python theme={null}
from agno.tools import DuckDuckGoTools, FileTools
agent = Agent(
tools=[DuckDuckGoTools(), FileTools()]
)
```
## Third-Party Tools
Integrate external services.
```python theme={null}
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"
)
```
## MCP Tools
Model Context Protocol for standardized tool access.
```python theme={null}
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])
```
## Tool Configuration
Tool name for agent to reference
Clear description of what tool does and when to use it
JSON schema of tool parameters
## Related Resources
Learn about MCP integrations
Framework-specific tool patterns