How to Use the PDF.co MCP in CrewAI

Q: Can I restrict which PDF.co tools a specific CrewAI agent uses?

Yes. Use the toolfilter option to limit access. This ensures each agent only has the tools necessary for its specific role.

Deploy autonomous document crews using PDF.co and CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect PDF.co MCP to CrewAI

Create your Vinkius account to connect PDF.co to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PDF.co with CrewAI

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Multi-agent document research

Assign one agent to scan PDFs with `pdf_to_text` while another analyzes the findings. Your crew works together to extract and synthesize information from large document sets. Shared memory lets the team build a complete picture. It works just like a human team, but it doesn't sleep.

Automated document audit crews

Set up a specialized agent to monitor folders and run `extract_pdf_meta` on new files. If it finds a discrepancy, it alerts the rest of the crew to take action. This is autonomous operation at its best. You define the rules, and the agents handle the document auditing around the clock.

Scalable PDF conversion teams

Distribute batch conversion tasks across multiple agents using `pdf_to_csv` or `pdf_to_xml`. The agents divide the workload and compile the results for you. It makes light work of massive document libraries. You get the structured data you need without manual intervention or oversight.

Setup guide

Set up PDF.co MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke PDF.co tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="PDF.co Analyst",
    goal="Access and analyze PDF.co data via MCP.",
    backstory="Expert analyst with direct PDF.co access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent PDF.co transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="PDF.co Analyst",
        goal="Access and analyze PDF.co data via MCP.",
        backstory="Expert analyst with direct PDF.co access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent PDF.co transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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