### Quick Start with Free Tier

Source: https://docs.crewai.com/en/tools/search-research/youai-search

Example of initializing an Agent with the MCPServerHTTP client using the free tier endpoint.

```python
from crewai import Agent, Task, Crew
from crewai.mcp import MCPServerHTTP

# Free tier — no API key needed, 100 queries/day
researcher = Agent(
 role=
```

--------------------------------

### Quick Start with Structured Configurations

Source: https://docs.crewai.com/en/mcp/overview

Demonstrates how to import MCP server classes and initialize an Agent with structured MCP configurations.

```python
from crewai import Agent, Task, Crew
from crewai.mcp import MCPServerStdio, MCPServerHTTP, MCPServerSSE

# Create agent with structured MCP configurations
research_agent = Agent(
 role="Research Analyst",
 goal="Find and analyze information using advanced search tools",

```

--------------------------------

### Agent Setup Prompt

Source: https://docs.crewai.com/datadog

A shell script prompt designed to guide an AI agent through the installation and configuration of a CrewAI development environment.

```bash
npx skills add crewaiinc/skills

# Setup steps:
1. Check python3 --version. CrewAI requires Python >=3.10 and <3.14.
2. Install uv if missing:
curl -LsSf https://astral.sh/uv/install.sh | sh
3. Source the uv environment if needed:
source "$HOME/.local/bin/env"
4. Install the CrewAI CLI:
uv tool install crewai
5. Verify the CLI:
crewai version
crewai create --help
6. Create a project:
CREWAI_DMN=true crewai create
7. After project creation, inspect the generated files before editing.
8. Run:
crewai install
crewai run
```

--------------------------------

### Define a Before Kickoff Hook

Source: https://docs.crewai.com/learn/before-and-after-kickoff-hooks

Example of defining a function to be executed before the crew starts its tasks, typically used for input preprocessing or environment setup.

```python
from crewai import Crew, Agent, Task

def before_kickoff(inputs):
    print(f"Preprocessing inputs: {inputs}")
    inputs['extra_data'] = 'added_value'
    return inputs

crew = Crew(
    agents=[...],
    tasks=[...],
    before_kickoff=before_kickoff
)
```

--------------------------------

### Example Output of Installed CrewAI

Source: https://docs.crewai.com/en/installation

This shows the expected output format when listing installed tools.

```shellscript
crewai v0.102.0
- crewai
```

--------------------------------

### Initialize Agent with File Support

Source: https://docs.crewai.com/en/concepts/files

Demonstrates how to import Agent and ImageFile classes to configure an agent for visual analysis tasks.

```python
from crewai import Agent
from crewai_files import ImageFile

agent = Agent(
	role="Image Analyst",
	goal="Analyze images",
	backstory="Expert at visual analysis",
	llm=
```

--------------------------------

### Initialize Agent with Tools

Source: https://docs.crewai.com/en/concepts/agents

Demonstrates how to import the Agent class and tools, instantiate the tools, and assign them to an agent.

```python
from crewai import Agent
from crewai_tools import SerperDevTool, WikipediaTools

# Create tools
search_tool = SerperDevTool()
wiki_tool = WikipediaTools()

# Add tools to agent
researcher = Agent(
 role="AI Technology Researcher",
 goal="Research the latest AI developments",
 tools=[
```

--------------------------------

### Installing and using a CrewAI tool

Source: https://docs.crewai.com/llms-full.txt

Commands to install a tool and an example of how to import it into a CrewAI agent.

```bash
pip install crewai-geolocate
```

```bash
uv add crewai-geolocate
```

```python
from crewai_geolocate import GeolocateTool

agent = Agent(
    role="Location Analyst",
    tools=[GeolocateTool()],
    # ...
)
```

--------------------------------

### Declare Flow Start Decorators

Source: https://docs.crewai.com/concepts/flows

Examples of how to use the @start decorator to define entry points for a flow.

```python
@start()
```

```python
@start("method_or_label")
```

--------------------------------

### Assigning Tools to Agents

Source: https://docs.crewai.com/en/concepts/tools

Example showing how to initialize an agent with specific tools and verbose logging enabled.

```python
writer = Agent(
 role='Content Writer',
 goal='Craft engaging blog posts about the AI industry',
 backstory='A skilled writer with a passion for technology.',
 tools=[docs_tool, file_tool],
 verbose=True
)
```

--------------------------------

### Streaming Flow Execution Example

Source: https://docs.crewai.com/edge/en/learn/streaming-flow-execution

Example demonstrating the setup of a task, crew, and the kickoff process for streaming flow execution.

```python
topic = "..."
expected_output = "Research findings",
agent = researcher,
)

crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()

self.state.research = result.raw
return
```

--------------------------------

### Configuring a Multi-Capability Agent

Source: https://docs.crewai.com/en/concepts/agent-capabilities

This example demonstrates how to initialize an Agent with multiple tools including SerperDevTool, FileReadTool, and CodeInterpreterTool.

```python
from crewai import Agent
from crewai_tools import SerperDevTool, FileReadTool, CodeInterpreterTool

# A fully-equipped research agent
researcher = Agent(
	role="Senior Research Analyst",
	goal="Produce comprehensive market analysis reports",
	backstory="Expert analyst with deep industry knowledge",
)
```

--------------------------------

### Agent Setup Prompt Generation

Source: https://docs.crewai.com/security.mdx

A JavaScript snippet used to copy a comprehensive environment setup prompt to the clipboard, including instructions for installing CrewAI and its dependencies.

```javascript
onClick: async event => {
            const prompt = `Set up this environment so I can build with CrewAI.

First install the official CrewAI coding-agent skills if this environment supports npx:

npx skills add crewaiinc/skills

If npx is missing or the current agent cannot load skills, do not fail the whole setup. Report the exact issue and continue using the CrewAI docs directly.

Use these CrewAI docs as source of truth before making assumptions:
- https://skills.crewai.com
- https://docs.crewai.com/llms.txt
- https://docs.crewai.com/en/installation
- https://docs.crewai.com/en/guides/coding-tools/build-with-ai

Setup steps:
1. Check python3 --version. CrewAI requires Python >=3.10 and <3.14.
2. Install uv if missing:
curl -LsSf https://astral.sh/uv/install.sh | sh
3. Source the uv environment if needed:
source "$HOME/.local/bin/env"
4. Install the CrewAI CLI:
uv tool install crewai
5. Verify the CLI:
crewai version
crewai create --help
6. Create a project:
CREWAI_DMN=true crewai create
7. After project creation, inspect the generated files before editing.
8. Run:
crewai install
crewai run

Do not hardcode API keys. Use .env.
Do not invent CLI flags. Validate with crewai --help or crewai create --help.
If a command fails, show the exact command and error, explain the likely cause, fix what you can safely fix, and retry once.`;
            const button = event.currentTarget;
            const resetTimeout = button.dataset.resetTimeout;
            if (resetTimeout) {
              window.clearTimeout(Number(resetTimeout));
            }
            try {
              await navigator.clipboard.writeText(prompt);
              button.textContent = "Copied";
            } catch {
              button.textContent = "Copy failed";
            } finally {
              button.dataset.resetTimeout = String(window.setTimeout(() => {
                button.textContent = "Copy agent setup prompt";
                delete button.dataset.resetTimeout;
              }, 1600));
            }
          }
```

--------------------------------

### Configuring Agent and Task for Human Input

Source: https://docs.crewai.com/en/learn/human-input-on-execution

Example of setting up an agent with delegation and cache settings, followed by task initialization.

```python
    "With a deep understanding of the tech industry, you transform complex concepts into compelling narratives."
 ),
 verbose=True,
 allow_delegation=True,
 tools=[search_tool],
 cache=False, # Disable cache for this agent
)

# Create tasks for your agents
task1 = Task(
 description=(
```

--------------------------------

### Quick Setup Summary

Source: https://docs.crewai.com/llms-full.txt

A combined snippet showing the installation and initialization process for Neatlogs.

```bash
pip install neatlogs

import neatlogs
neatlogs.init("YOUR_API_KEY")
```