{
  "mcpServers": {
    "pdf-agent-toolkit": {
      "command": "npx",
      "args": ["-y", "pdf-agent-toolkit-mcp@latest"]
    }
  }
}

{
  "mcpServers": {
    "pdf-tools": {
      "command": "npx",
      "args": ["-y", "pdf-agent-toolkit-mcp"]
    }
  }
}

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_google_genai import ChatGoogleGenerativeAI

async def main():
    async with MultiServerMCPClient({
        "pdf_tools": {
            "command": "npx",
            "args": ["-y", "pdf-agent-toolkit-mcp"],
            "transport": "stdio",
        }
    }) as client:
        tools = client.get_tools()
        model = ChatGoogleGenerativeAI(model="gemini-2.5-flash")
        agent = create_react_agent(model, tools)
        
        response = await agent.ainvoke({
            "messages": [("user", "Compress ./financials.pdf and blackout sensitive SSNs")]
        })
        print(response)

# Run MCP server on stdio
npm run mcp

# Start the interactive visual testing studio and playground
npm run dev