nova_reels
agent.tool.novareels(action="create", text="A cinematic shot of mountains", s3bucket="my-bucket")
How to use it
nova_reels is exposed by the Tools MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the nova_reels tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Tools
pip install strands-agents-toolsOther tools in Tools (37)
provider = A2AClientToolProvider(knownagenturls=["http://localhost:9000"]); agent = Agent(tools=provider.tools)
agent.tool.agentcorememory(action="record", content="Hello, I like vegetarian food")
agent.tool.agentgraph(agents=["agent1", "agent2"], connections=[{"from": "agent1", "to": "agent2"}])
agent.tool.brightdata(action="scrapeasmarkdown", url="https://example.com")
browser = LocalChromiumBrowser(); agent = Agent(tools=[browser.browser])
agent.tool.chatvideo(prompt="What are the main topics?", videoid="video123")
codeinterpreter = AgentCoreCodeInterpreter(region="us-west-2"); agent = Agent(tools=[codeinterpreter.codeinterpreter])
agent.tool.elasticsearchmemory(action="record", content="User prefers dark mode")
agent.tool.exagetcontents(urls=["https://example.com/article"], text=True, summary={"query": "key points"})
agent.tool.exasearch(query="Best project management tools", text=True)
agent.tool.fileread(path="path/to/file.txt")
agent.tool.filewrite(path="path/to/file.txt", content="file content")
agent.tool.generateimage(prompt="A sunset over mountains")
agent.tool.generateimagestability(prompt="A tranquil pool")
agent.tool.graph(action="create", graphid="pipeline", topology={"nodes": [...], "edges": [...]})
agent.tool.handofftouser(message="Please confirm action", breakoutofloop=False)
agent.tool.httprequest(method="GET", url="https://api.example.com/data")
agent.tool.imagereader(imagepath="path/to/image.jpg")
agent.tool.journal(action="write", content="Today's progress notes")
agent.tool.loadtool(path="path/to/customtool.py", name="customtool")
agent.tool.mcpclient(action="connect", connectionid="myserver", transport="stdio", command="python", args=["server.py"])
agent.tool.mem0memory(action="store", content="Remember I like to play tennis")
agent.tool.mongodbmemory(action="record", content="User prefers vegetarian pizza")
agent.tool.pythonrepl(code="import pandas as pd\ndf = pd.readcsv('data.csv')\nprint(df.head())")
agent.tool.searchvideo(query="people discussing AI")
agent.tool.speak(text="Operation completed successfully", style="green", mode="polly")
agent.tool.stop(message="Process terminated by user request")
agent.tool.swarm(task="Analyze this problem", swarmsize=3, coordinationpattern="collaborative")
agent.tool.tavilycrawl(url="www.tavily.com", maxdepth=2, instructions="Find API docs")
agent.tool.tavilyextract(urls=["www.tavily.com"], extractdepth="advanced")
agent.tool.tavilymap(url="www.tavily.com", maxdepth=2, instructions="Find all pages")
agent.tool.tavilysearch(query="What is artificial intelligence?", searchdepth="advanced")
agent.tool.useagent(prompt="Analyze this code", systemprompt="You are a code analyst.", modelprovider="bedrock")
agent.tool.useaws(servicename="s3", operationname="listbuckets", parameters={}, region="us-west-2")
agent.tool.usecomputer(action="click", x=100, y=200, appname="Chrome")
agent.tool.usellm(prompt="Analyze this data", systemprompt="You are a data analyst")
agent.tool.workflow(action="create", name="datapipeline", steps=[{"tool": "fileread"}, {"tool": "pythonrepl"}])