How to Use the Airparser MCP in CrewAI

Q: How do I limit which Airparser tools a CrewAI agent can use?

Use the toolfilter option in MCPServerHTTP to restrict access. This prevents junior agents from calling destructive tools like deletewebhook while keeping parsing tools open.

Equip your CrewAI agent teams with autonomous document extraction using the Airparser MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Airparser MCP to CrewAI

Create your Vinkius account to connect Airparser to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Airparser with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Document Extraction in CrewAI

The `parse_document_sync` tool gives your specialized extraction agent the power to convert unstructured files into clean JSON data. In a typical crew, your Researcher agent finds the raw emails or PDFs, while the Parser agent runs this tool to extract the structured data. Once parsed, the Moderator agent reviews the output using `get_document_details` to verify accuracy. This assembly line operates entirely without human intervention, passing structured data between agents in memory.

Autonomous Inbox Routing with CrewAI MCP Server

The `list_inboxes` tool allows your supervisor agent to scan your available Airparser endpoints and assign documents to the correct processing queue. Your agents dynamically match incoming files to the correct inbox by reading their metadata. The agent then calls `get_inbox_schema` to understand what fields to expect. This dynamic discovery ensures your crew can handle new document types without you rewriting their python code.

Dynamic Webhook Provisioning for Agent Teams

The `create_webhook` tool enables your operations agent to build real-time export pipelines on the fly. When a new high-priority client is onboarded, the agent automatically registers a webhook to send parsed data to their custom endpoint. If an endpoint starts throwing errors, the monitoring agent calls `list_webhooks` to inspect the setup. Using `delete_webhook` stops the failing route before data is lost.

Setup guide

Set up Airparser 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 Airparser tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Airparser 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="Airparser Analyst",
        goal="Access and analyze Airparser data via MCP.",
        backstory="Expert analyst with direct Airparser access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Airparser 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 →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Airparser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Airparser now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Airparser MCP in CrewAI

Add the Vinkius URL directly to the agent's MCP list during initialization. For more control, use `MCPServerHTTP` from CrewAI's MCP module to filter specific tools like `parse_document_sync`.

Yes, agents share access to the tools through the crew's common memory. One agent can locate files with `list_documents`, while another extracts the data using `get_document_details`.

Use the `tool_filter` option in `MCPServerHTTP` to restrict access. This prevents junior agents from calling destructive tools like `delete_webhook` while keeping parsing tools open.

CrewAI supports stdio, SSE, and Streamable HTTP. Vinkius hosts the endpoint as a managed service, handling all protocol negotiations behind a single access token.

Yes, because all file parsing occurs inside Airparser's secure environment, returning only structured JSON data to your Python script. Vinkius runs this MCP server in an ephemeral, zero-trust sandbox, ensuring your PDFs, emails, and images are never stored or exposed during agent handoffs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript