How to Use the Filebase (Web3 Storage) MCP in Google ADK

Q: Can I use Google ADK to query Filebase (Web3 Storage) bucket metrics?

Yes. The agent uses platformgetbucketusage to fetch storage metrics and can push this data directly to BigQuery.

Q: How do I restrict the agent to only use pinning tools?

You can pass a filtered list of tool names to the McpToolset constructor. This limits the agent to tools like psaaddpin and psaremovepin.

Feed IPFS data straight to Gemini's million-token context window using the Google ADK and Filebase.

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Connect Filebase (Web3 Storage) MCP to Google ADK

Create your Vinkius account to connect Filebase (Web3 Storage) to Google ADK 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 Google ADK

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Ingest Large IPFS Datasets into Gemini

The `rpc_cat` tool pulls raw file contents directly from decentralized storage into your agent's context window. For structured blocks, the agent uses `rpc_block_get` to retrieve raw data segments without overhead. This matches Gemini's long-context reasoning capabilities. You can feed entire datasets directly to your Google ADK agent for analysis without pre-downloading files.

Manage Dedicated Gateways with this MCP Server

The `platform_create_gateway` tool provisions custom gateways for fast data retrieval. Your agent monitors performance using `platform_get_gateway_usage` to ensure high availability. This keeps your application's traffic isolated from public gateway congestion. The agent can switch gateways dynamically if bandwidth limits are reached.

Generate and Manage IPNS Keys

The `rpc_key_gen` tool creates new cryptographic keypairs directly from the agent's environment. Listing active keys with `rpc_key_list` lets the agent maintain secure signing identities. This allows automated agents to sign IPNS records securely. Your Google ADK workflows can publish updates using this MCP Server without human intervention.

Setup guide

Set up Filebase (Web3 Storage) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Filebase (Web3 Storage) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Filebase (Web3 Storage)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Filebase (Web3 Storage) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Filebase (Web3 Storage) MCP in Google ADK

Yes. The agent uses `platform_get_bucket_usage` to fetch storage metrics and can push this data directly to BigQuery.

Gemini uses its long-context window to process raw text pulled by `rpc_cat`. The agent retrieves the file via its CID and analyzes it in a single turn.

Yes. You can configure this MCP Server to use either Stdio or HTTP transport when initializing the agent.

You can pass a filtered list of tool names to the `McpToolset` constructor. This limits the agent to tools like `psa_add_pin` and `psa_remove_pin`.

The MCP Server operates inside an ephemeral sandbox, passing your API tokens directly to Filebase. Your IPNS keys and CID paths are never stored or logged on our infrastructure.

Use it with your favorite AI tools

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