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from claude_agent import Agent, MCPConfig
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agent = Agent(
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    model="claude-sonnet-4",
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    mcp_servers=[
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        MCPConfig(command="npx", args=["-y", "@modelcontextprotocol/server-github"]),
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        MCPConfig(command="node", args=["./my-mcp-server/index.js"]),
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    ]
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)

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# Other frameworks:
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@tool("search_docs")
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def search_docs(query: str) -> str:
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    return vector_store.search(query)
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# Claude Agent SDK:
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# MCP server exposes search_docs as a tool automatically.
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# The agent's tool_use block describes it as a resource.
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agent.use_tool("search_docs", {"query": "authentication flow"})
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# Returns: MCP resource with structured content, not a string

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from claude_agent.tools import Computer
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agent = Agent(
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    model="claude-sonnet-4",
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    tools=[Computer()]  # Direct UI interaction
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)

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from claude_agent import Agent
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agent = Agent(
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    model="claude-sonnet-4",
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    mcp_servers=[github_server, db_server, docs_server],
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    system_prompt="You are a DevOps engineer. Use GitHub for PRs, DB for queries, docs for reference."
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)
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response = await agent.run("Deploy the latest build to staging")
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# The agent loop:
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# 1. Receives message → decides next action
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# 2. Calls MCP tools → receives structured results
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# 3. Reasons about results → decides next action
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# 4. Repeats until criteria met → returns final response

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agent.on("tool_call", lambda tool, args: log_tool_usage(tool, args))
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agent.on("tool_result", lambda result: validate_output(result))
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agent.on("thinking", lambda thought: stream_to_ui(thought))

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from claude_agent import Agent, FileMemory, PostgresMemory
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# File-based for development
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agent = Agent(memory=FileMemory(path="./agent_memory"))
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# Postgres for production
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agent = Agent(memory=PostgresMemory(connection_string=os.getenv("DB_URL")))

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agent = Agent(
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    model="claude-sonnet-4",
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    thinking_budget=16000  # tokens allocated to reasoning
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)
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result = await agent.run_with_thinking(
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    "Debug the database connection pool exhaustion",
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    stream_thinking=True  # See the reasoning process
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)

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agent = Agent(
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    model="claude-sonnet-4",
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    mcp_servers=[
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        MCPConfig(command="node", args=["./mcp/github.js"]),
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        MCPConfig(command="node", args=["./mcp/datadog.js"]),
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        MCPConfig(command="node", args=["./mcp/pagerduty.js"]),
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        MCPConfig(command="node", args=["./mcp/kubernetes.js"]),
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    ],
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    system_prompt="""You are an SRE agent.
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    Available MCP servers provide access to:
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    - GitHub: PRs, issues, deployments
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    - Datadog: metrics, monitors, dashboards
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    - PagerDuty: incidents, on-call schedules
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    - Kubernetes: pods, services, deployments
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    """
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)

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agent = Agent(
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    model="claude-sonnet-4",
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    mcp_servers=[web_search, browser_mcp],
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    tools=[Computer()],
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    system_prompt="Research competitor products and document findings"
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)
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# The agent:
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# 1. Searches the web via MCP
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# 2. Opens browsers via Computer tool
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# 3. Takes screenshots of competitor UIs
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# 4. Captures data into structured resources
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# 5. Writes a research document