Filebase (Web3 Storage) MCP Server for LangChainGive LangChain instant access to 29 tools to Platform Create Gateway, Platform Create Name, Platform Delete Gateway, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Filebase (Web3 Storage) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Filebase (Web3 Storage) MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 29 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"filebase-web3-storage": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Filebase (Web3 Storage), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Filebase (Web3 Storage) through native MCP adapters. Connect 29 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 create gateway on Filebase (Web3 Storage)
Create a new dedicated gateway
Platform create name on Filebase (Web3 Storage)
Create a new IPNS name
Platform delete gateway on Filebase (Web3 Storage)
Delete a dedicated gateway
Platform delete name on Filebase (Web3 Storage)
Delete an IPNS name
Platform get bucket usage on Filebase (Web3 Storage)
Get storage usage for a specific bucket
Platform get gateway on Filebase (Web3 Storage)
Get details of a specific dedicated gateway
Platform get gateway usage on Filebase (Web3 Storage)
Get bandwidth usage for a dedicated gateway
Platform get name on Filebase (Web3 Storage)
Get details of a specific IPNS name
Platform get usage on Filebase (Web3 Storage)
Get total storage and bandwidth usage
Platform list gateways on Filebase (Web3 Storage)
List all dedicated gateways
Platform list names on Filebase (Web3 Storage)
List all IPNS names
Platform update gateway on Filebase (Web3 Storage)
Update a dedicated gateway
Platform update name on Filebase (Web3 Storage)
Update an IPNS name to point to a new CID
Psa add pin on Filebase (Web3 Storage)
Add a pin using the Pinning Service API
Psa get pin on Filebase (Web3 Storage)
Get pin status by request ID
Psa list pins on Filebase (Web3 Storage)
List pins using the Pinning Service API
Psa remove pin on Filebase (Web3 Storage)
Remove a pin by request ID
Psa replace pin on Filebase (Web3 Storage)
Replace an existing pin
Rpc add on Filebase (Web3 Storage)
Add a text file to IPFS
Rpc block get on Filebase (Web3 Storage)
Retrieve a raw block by CID
Rpc cat on Filebase (Web3 Storage)
Fetch contents of a file by CID
Rpc key gen on Filebase (Web3 Storage)
Create a new keypair
Rpc key list on Filebase (Web3 Storage)
List all keys in the keychain
Rpc name publish on Filebase (Web3 Storage)
Publish a CID to IPNS
Rpc name resolve on Filebase (Web3 Storage)
Resolve an IPNS name to an IPFS path
Rpc pin add on Filebase (Web3 Storage)
Pin a CID to persistent storage
Rpc pin ls on Filebase (Web3 Storage)
List all pinned objects via RPC
Rpc pin rm on Filebase (Web3 Storage)
Unpin a CID via RPC
Rpc version on Filebase (Web3 Storage)
Get the version of the IPFS daemon
Connect Filebase (Web3 Storage) to LangChain via MCP
Follow these steps to wire Filebase (Web3 Storage) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Filebase (Web3 Storage) MCP Server
LangChain provides unique advantages when paired with Filebase (Web3 Storage) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Filebase (Web3 Storage) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Filebase (Web3 Storage) queries for multi-turn workflows
Filebase (Web3 Storage) + LangChain Use Cases
Practical scenarios where LangChain combined with the Filebase (Web3 Storage) MCP Server delivers measurable value.
RAG with live data: combine Filebase (Web3 Storage) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Filebase (Web3 Storage), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Filebase (Web3 Storage) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Filebase (Web3 Storage) tool call, measure latency, and optimize your agent's performance
Example Prompts for Filebase (Web3 Storage) in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Filebase (Web3 Storage) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFilebase (Web3 Storage) + LangChain FAQ
Common questions about integrating Filebase (Web3 Storage) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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