How to Use the Filebase (Web3 Storage) MCP in CrewAI

Q: Does CrewAI support Filebase (Web3 Storage) monitoring?

You can create a monitor agent that periodically calls platformgetusage. It can then report back to the team or take corrective action.

Deploy a CrewAI team to manage your IPFS infrastructure. Specialized agents for pinning, monitoring, and storage cleanup.

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Connect Filebase (Web3 Storage) MCP to CrewAI

Create your Vinkius account to connect Filebase (Web3 Storage) 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.

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Setup Filebase (Web3 Storage) with CrewAI

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Autonomous IPFS team for CrewAI

Assign a dedicated agent to track your storage health using `platform_get_usage`. If a limit is hit, a second agent can use `psa_remove_pin` to clear space. It turns storage management into a self-correcting system. Your crew handles the day-to-day operations while you focus on high-level goals.

Collaborative CID management

Have one agent index your content with `rpc_pin_ls` and another verify availability using `rpc_cat`. They share memory to keep your decentralized records accurate. It prevents data drift. The crew maintains a consistent state across your infrastructure by cross-referencing your pin list with your actual file inventory.

Automated IPNS publishing for CrewAI

Keep your project sites live by letting an agent update your pointers with `rpc_name_publish`. It can resolve current paths using `rpc_name_resolve` to verify links before updating. It removes the risk of broken pointers. The crew performs the resolution, verification, and update as a single, atomic operation.

Setup guide

Set up Filebase (Web3 Storage) 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 Filebase (Web3 Storage) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Filebase (Web3 Storage) Analyst",
    goal="Access and analyze Filebase (Web3 Storage) data via MCP.",
    backstory="Expert analyst with direct Filebase (Web3 Storage) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Filebase (Web3 Storage) 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="Filebase (Web3 Storage) Analyst",
        goal="Access and analyze Filebase (Web3 Storage) data via MCP.",
        backstory="Expert analyst with direct Filebase (Web3 Storage) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Filebase (Web3 Storage) 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 Filebase. 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.

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Common questions about Filebase (Web3 Storage) MCP in CrewAI

Pass the server URL into your Agent configuration. You can then selectively expose tools like `psa_add_pin` to specific team members.

Yes, by using shared memory, your agents can pass CIDs between them. One agent uploads the file, and another agent pins it to the network.

You can create a monitor agent that periodically calls `platform_get_usage`. It can then report back to the team or take corrective action.

The server respects your API credentials and scope. Your storage remains isolated and only accessible to the agents you configure with the necessary tools.

The server routes your requests to the IPFS network via the platform's pinning services. This ensures your data is stored persistently and is retrievable by CID.

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