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Tools

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by strands-agents

A set of tools that gives agents powerful capabilities.

Set up this server

01 / Choose your client

02 / Before you connect

Authentication is not specified. Check the project instructions before connecting.

Install the runtime required by the project and make it available to your client.

Project instructions

Use names from the project instructions, separated by commas. Enter names only, never secret values.

03 / Add the configuration

Source: generated from public install instructions

claude mcp add --transport stdio 'tools' -- 'uvx' 'strands-agents-tools'

Run in your terminal after replacing any placeholders.

04 / Check it in your client

Open your client’s MCP settings and confirm the server connects and lists its tools. A copied configuration does not confirm a working connection.

agenticagentic-aiagentsaianthropicautonomous-agentsbedrockgenailitellmllamallmmachine-learningmcpmulti-agent-systemsollamaopenaiopentelemetrypythonstrands-agents

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38 of 38 tools

Documented tools (38)

From project documentation. A server handshake does not verify each tool’s description or behavior.

a2a_client

provider = A2AClientToolProvider(knownagenturls=["http://localhost:9000"]); agent = Agent(tools=provider.tools)

agent_core_memory

agent.tool.agentcorememory(action="record", content="Hello, I like vegetarian food")

agent_graph

agent.tool.agentgraph(agents=["agent1", "agent2"], connections=[{"from": "agent1", "to": "agent2"}])

bright_data

agent.tool.brightdata(action="scrapeasmarkdown", url="https://example.com")

browser

browser = LocalChromiumBrowser(); agent = Agent(tools=[browser.browser])

chat_video

agent.tool.chatvideo(prompt="What are the main topics?", videoid="video123")

code_interpreter

codeinterpreter = AgentCoreCodeInterpreter(region="us-west-2"); agent = Agent(tools=[codeinterpreter.codeinterpreter])

elasticsearch_memory

agent.tool.elasticsearchmemory(action="record", content="User prefers dark mode")

exa_get_contents

agent.tool.exagetcontents(urls=["https://example.com/article"], text=True, summary={"query": "key points"})

exa_search

agent.tool.exasearch(query="Best project management tools", text=True)

file_read

agent.tool.fileread(path="path/to/file.txt")

file_write

agent.tool.filewrite(path="path/to/file.txt", content="file content")

generate_image

agent.tool.generateimage(prompt="A sunset over mountains")

generate_image_stability

agent.tool.generateimagestability(prompt="A tranquil pool")

graph

agent.tool.graph(action="create", graphid="pipeline", topology={"nodes": [...], "edges": [...]})

handoff_to_user

agent.tool.handofftouser(message="Please confirm action", breakoutofloop=False)

http_request

agent.tool.httprequest(method="GET", url="https://api.example.com/data")

image_reader

agent.tool.imagereader(imagepath="path/to/image.jpg")

journal

agent.tool.journal(action="write", content="Today's progress notes")

load_tool

agent.tool.loadtool(path="path/to/customtool.py", name="customtool")

mcp_client

agent.tool.mcpclient(action="connect", connectionid="myserver", transport="stdio", command="python", args=["server.py"])

mem0_memory

agent.tool.mem0memory(action="store", content="Remember I like to play tennis")

mongodb_memory

agent.tool.mongodbmemory(action="record", content="User prefers vegetarian pizza")

nova_reels

agent.tool.novareels(action="create", text="A cinematic shot of mountains", s3bucket="my-bucket")

python_repl

agent.tool.pythonrepl(code="import pandas as pd\ndf = pd.readcsv('data.csv')\nprint(df.head())")

search_video

agent.tool.searchvideo(query="people discussing AI")

speak

agent.tool.speak(text="Operation completed successfully", style="green", mode="polly")

stop

agent.tool.stop(message="Process terminated by user request")

swarm

agent.tool.swarm(task="Analyze this problem", swarmsize=3, coordinationpattern="collaborative")

tavily_crawl

agent.tool.tavilycrawl(url="www.tavily.com", maxdepth=2, instructions="Find API docs")

tavily_extract

agent.tool.tavilyextract(urls=["www.tavily.com"], extractdepth="advanced")

tavily_map

agent.tool.tavilymap(url="www.tavily.com", maxdepth=2, instructions="Find all pages")

tavily_search

agent.tool.tavilysearch(query="What is artificial intelligence?", searchdepth="advanced")

use_agent

agent.tool.useagent(prompt="Analyze this code", systemprompt="You are a code analyst.", modelprovider="bedrock")

use_aws

agent.tool.useaws(servicename="s3", operationname="listbuckets", parameters={}, region="us-west-2")

use_computer

agent.tool.usecomputer(action="click", x=100, y=200, appname="Chrome")

use_llm

agent.tool.usellm(prompt="Analyze this data", systemprompt="You are a data analyst")

workflow

agent.tool.workflow(action="create", name="datapipeline", steps=[{"tool": "fileread"}, {"tool": "pythonrepl"}])

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

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FAQ

Questions about Tools MCP Server

How do I connect Tools MCP Server to Claude?
Run `claude mcp add tools -- uvx strands-agents-tools` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.
Is Tools MCP Server free?
The listed licence is Apache-2.0. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Tools MCP Server do?
Tools MCP Server documents 38 tools to the agent, including a2a_client, agent_core_memory, agent_graph. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.