Toket MCP Server for LangChainGive LangChain instant access to 8 tools to Create Collection, Easy Mint, Get Collection, and more
LangChain is the leading Python framework for composable LLM applications. Connect Toket 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 App Connector for LangChain
The Toket app connector for LangChain is a standout in the Ecommerce category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import 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({
"toket": {
"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 Toket, 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 Toket MCP Server
Connect your Toket account to any AI agent and simplify how you deploy NFT collections, mint digital assets, and monitor blockchain interactions through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Toket through native MCP adapters. Connect 8 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
- Collection Management — List all your NFT collections and deploy new ERC-721 smart contracts instantly via AI.
- Asset Minting — Mint NFTs into specific collections or use 'Easy Mint' to quickly generate assets for recipients.
- Transaction Oversight — List and check the status of minting transactions to ensure successful blockchain delivery.
- Gas Management — Monitor your Gas Tank balance to keep your automated minting operations running smoothly.
- Metadata Control — Retrieve detailed metadata for collections and individual minted assets.
- Blockchain Visibility — Track the history of your digital asset distribution directly from the agent.
The Toket MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Toket tools available for LangChain
When LangChain connects to Toket through Vinkius, your AI agent gets direct access to every tool listed below — spanning nft-minting, web3, smart-contracts, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Provide name, symbol, and owner wallet. Create a new NFT collection
Quickly mint an NFT
Get details of a specific collection
Check Gas Tank balance
Get status of a minting transaction
List all NFT collections
List all minted NFTs
Mint an NFT into a collection
Connect Toket to LangChain via MCP
Follow these steps to wire Toket into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 Toket MCP Server
LangChain provides unique advantages when paired with Toket through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Toket 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 Toket queries for multi-turn workflows
Toket + LangChain Use Cases
Practical scenarios where LangChain combined with the Toket MCP Server delivers measurable value.
RAG with live data: combine Toket tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Toket, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Toket tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Toket tool call, measure latency, and optimize your agent's performance
Example Prompts for Toket in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Toket immediately.
"List all NFT collections in my account."
"Mint a Founders NFT to the address '0x123...456'."
"Check the current status of my Gas Tank."
Troubleshooting Toket MCP Server with LangChain
Common issues when connecting Toket to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersToket + LangChain FAQ
Common questions about integrating Toket 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.