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Strands Agents
Use CleanTextLab MCP with Strands Agents for deterministic text tools.
Requirements
- Python 3.10+
- CleanTextLab Pro API key
- Strands Agents installed
python -m venv .venv
source .venv/bin/activate
pip install strands-agents
Option A: Local MCP via npx (recommended for local dev)
from strands import Agent
from strands.tools.mcp import MCPClient
from mcp import stdio_client, StdioServerParameters
cleantextlab = MCPClient(
lambda: stdio_client(
StdioServerParameters(
command="npx",
args=["-y", "cleantextlab-mcp"],
env={"CLEANTEXTLAB_API_KEY": "ctl_live_YOUR_KEY"},
)
)
)
with cleantextlab:
agent = Agent(tools=cleantextlab.list_tools_sync())
agent("Remove line breaks from: Hello\\nworld")
Option B: Hosted MCP (SSE)
from strands import Agent
from strands.tools.mcp import MCPClient
from mcp import sse_client, SSEServerParameters
cleantextlab = MCPClient(
lambda: sse_client(
SSEServerParameters(
url="https://cleantextlab.com/api/mcp/sse",
headers={"x-api-key": "ctl_live_YOUR_KEY"},
)
)
)
with cleantextlab:
agent = Agent(tools=cleantextlab.list_tools_sync())
agent("Generate an ASCII tree from: src/app/page.tsx")
Why MCP for agents?
- Deterministic output for formatting tasks
- Lower token usage by offloading heavy text operations
- Reusable tools across agent workflows
Next steps
- MCP setup guide:
/docs/mcp-setup - API reference:
/docs/api - Automation hub:
/automation