MCP Server

uvx --from=docling-mcp docling-mcp-server

{
  "mcpServers": {
    "docling": {
      "command": "uvx",
      "args": [
        "--from=docling-mcp",
        "docling-mcp-server"
      ]
    }
  }
}

{
  "mcpServers": {
    "docling": {
      "command": "uvx",
      "args": [
        "--from=docling-mcp",
        "docling-mcp-server"
      ]
    }
  }
}

from llama_index.agent import Agent
from docling_mcp import DoclingMCPTool

# Create agent with Docling MCP tool
tool = DoclingMCPTool()
agent = Agent.from_tools([tool])

# Use the agent
response = agent.query(
    "Extract the key findings from report.pdf"
)
print(response)

from pydantic_ai import Agent
from docling_mcp import DoclingMCPTool

# Create type-safe agent
agent = Agent(
    tools=[DoclingMCPTool()],
    model="openai:gpt-4"
)

# Process documents
result = agent.run(
    "Summarize the contents of document.pdf"
)

from llama_stack import Agent
from docling_mcp import DoclingMCPTool

agent = Agent(
    tools=[DoclingMCPTool()]
)

response = agent.run(
    "What are the main topics in the presentation.pptx?"
)

from smolagents import Agent
from docling_mcp import DoclingMCPTool

agent = Agent(
    tools=[DoclingMCPTool()],
    model="gpt-4"
)

result = agent.run(
    "Extract tables from financial_report.pdf"
)

from pydantic_ai import Agent
from docling_mcp import DoclingMCPTool

# Create agent with document processing capability
agent = Agent(
    tools=[DoclingMCPTool()],
    model="openai:gpt-4",
    system_prompt="""You are a research assistant that can read and analyze documents.
    When asked about documents, use the Docling tool to extract their contents."""
)

# Multi-step workflow
workflow = """
1. Read the quarterly_report.pdf
2. Extract all financial tables
3. Summarize the key metrics
4. Compare with last quarter's results from q3_report.pdf
"""

result = agent.run(workflow)
print(result)

{
  "mcpServers": {
    "docling": {
      "command": "uvx",
      "args": [
        "--from=docling-mcp",
        "docling-mcp-server"
      ],
      "env": {
        "DOCLING_OCR": "true",
        "DOCLING_TABLE_STRUCTURE": "true"
      }
    }
  }
}