Filebase (Web3 Storage) MCP Server for LlamaIndexGive LlamaIndex instant access to 29 tools to Platform Create Gateway, Platform Create Name, Platform Delete Gateway, and more

Name: Filebase (Web3 Storage)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Filebase (Web3 Storage) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Filebase (Web3 Storage) MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 29 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Filebase (Web3 Storage). "
            "You have 29 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Filebase (Web3 Storage)?"
    )
    print(response)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Filebase (Web3 Storage) MCP Server

Connect your Filebase account to any AI agent and take full control of your decentralized Web3 storage workflows through natural conversation.

LlamaIndex agents combine Filebase (Web3 Storage) tool responses with indexed documents for comprehensive, grounded answers. Connect 29 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

IPFS Operations — Add text files, fetch content by CID, and manage raw blocks directly on the IPFS network using the RPC API.
Pinning Management — Use the Pinning Service API (PSA) or RPC to pin, list, and remove content identifiers (CIDs) for persistent storage.
IPNS & Keys — Generate keypairs, publish CIDs to IPNS, and resolve names to IPFS paths for mutable decentralized websites.
Usage & Infrastructure — Monitor storage usage, manage dedicated gateways, and track bucket metrics across the platform.

The Filebase (Web3 Storage) MCP Server exposes 29 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 29 Filebase (Web3 Storage) tools available for LlamaIndex

When LlamaIndex connects to Filebase (Web3 Storage) through Vinkius, your AI agent gets direct access to every tool listed below — spanning ipfs, web3, decentralized-storage, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

platform

Platform create gateway on Filebase (Web3 Storage)

Create a new dedicated gateway

platform

Platform create name on Filebase (Web3 Storage)

Create a new IPNS name

platform

Platform delete gateway on Filebase (Web3 Storage)

Delete a dedicated gateway

platform

Platform delete name on Filebase (Web3 Storage)

Delete an IPNS name

platform

Platform get bucket usage on Filebase (Web3 Storage)

Get storage usage for a specific bucket

platform

Platform get gateway on Filebase (Web3 Storage)

Get details of a specific dedicated gateway

platform

Platform get gateway usage on Filebase (Web3 Storage)

Get bandwidth usage for a dedicated gateway

platform

Platform get name on Filebase (Web3 Storage)

Get details of a specific IPNS name

platform

Platform get usage on Filebase (Web3 Storage)

Get total storage and bandwidth usage

platform

Platform list gateways on Filebase (Web3 Storage)

List all dedicated gateways

platform

Platform list names on Filebase (Web3 Storage)

List all IPNS names

platform

Platform update gateway on Filebase (Web3 Storage)

Update a dedicated gateway

platform

Platform update name on Filebase (Web3 Storage)

Update an IPNS name to point to a new CID

psa

Psa add pin on Filebase (Web3 Storage)

Add a pin using the Pinning Service API

psa

Psa get pin on Filebase (Web3 Storage)

Get pin status by request ID

psa

Psa list pins on Filebase (Web3 Storage)

List pins using the Pinning Service API

psa

Psa remove pin on Filebase (Web3 Storage)

Remove a pin by request ID

psa

Psa replace pin on Filebase (Web3 Storage)

Replace an existing pin

rpc

Rpc add on Filebase (Web3 Storage)

Add a text file to IPFS

rpc

Rpc block get on Filebase (Web3 Storage)

Retrieve a raw block by CID

rpc

Rpc cat on Filebase (Web3 Storage)

Fetch contents of a file by CID

rpc

Rpc key gen on Filebase (Web3 Storage)

Create a new keypair

rpc

Rpc key list on Filebase (Web3 Storage)

List all keys in the keychain

rpc

Rpc name publish on Filebase (Web3 Storage)

Publish a CID to IPNS

rpc

Rpc name resolve on Filebase (Web3 Storage)

Resolve an IPNS name to an IPFS path

rpc

Rpc pin add on Filebase (Web3 Storage)

Pin a CID to persistent storage

rpc

Rpc pin ls on Filebase (Web3 Storage)

List all pinned objects via RPC

rpc

Rpc pin rm on Filebase (Web3 Storage)

Unpin a CID via RPC

rpc

Rpc version on Filebase (Web3 Storage)

Get the version of the IPFS daemon

Connect Filebase (Web3 Storage) to LlamaIndex via MCP

Follow these steps to wire Filebase (Web3 Storage) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 29 tools from Filebase (Web3 Storage)

Why Use LlamaIndex with the Filebase (Web3 Storage) MCP Server

LlamaIndex provides unique advantages when paired with Filebase (Web3 Storage) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Filebase (Web3 Storage) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Filebase (Web3 Storage) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Filebase (Web3 Storage), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Filebase (Web3 Storage) tools were called, what data was returned, and how it influenced the final answer

Filebase (Web3 Storage) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Filebase (Web3 Storage) MCP Server delivers measurable value.

Hybrid search: combine Filebase (Web3 Storage) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Filebase (Web3 Storage) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Filebase (Web3 Storage) for fresh data

Analytical workflows: chain Filebase (Web3 Storage) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Filebase (Web3 Storage) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Filebase (Web3 Storage) immediately.

"Upload the text 'Hello from Filebase MCP' to IPFS."

"Show me a list of all my pinned objects."

"What is my current storage usage on Filebase?"

Troubleshooting Filebase (Web3 Storage) MCP Server with LlamaIndex

Common issues when connecting Filebase (Web3 Storage) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Filebase (Web3 Storage) + LlamaIndex FAQ

Common questions about integrating Filebase (Web3 Storage) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Filebase (Web3 Storage) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.