AntChain MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AntChain as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 AntChain. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in AntChain?"
)
print(response)
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 AntChain MCP Server
Connect your AntChain (蚂蚁链) BaaS platform account to any AI agent and gain complete visibility and control over your enterprise blockchain operations through natural conversation. AntChain is Alibaba Group's blockchain-as-a-service platform, designed for consortium chains, enterprise smart contracts, and secure decentralized applications.
LlamaIndex agents combine AntChain tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Block Exploration — Query detailed information about any block by height or hash, including transaction counts and timestamps
- Transaction Tracking — Inspect individual transactions by hash or ID, verifying status, gas consumption, and execution results
- Smart Contract Management — Deploy new contracts, invoke contract methods, and query contract metadata and ABIs
- Account Inspection — Check account balances, nonce values, and metadata for any wallet address on the chain
- Network Monitoring — View network topology, node status, consensus state, and chain health metrics
- Chain Discovery — List all blockchain networks available to your organization with their configurations
- Recent Activity — Monitor the latest transactions and network activity in real-time
The AntChain MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AntChain to LlamaIndex via MCP
Follow these steps to integrate the AntChain MCP Server with LlamaIndex.
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 10 tools from AntChain
Why Use LlamaIndex with the AntChain MCP Server
LlamaIndex provides unique advantages when paired with AntChain through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AntChain tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AntChain tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AntChain, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AntChain tools were called, what data was returned, and how it influenced the final answer
AntChain + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AntChain MCP Server delivers measurable value.
Hybrid search: combine AntChain real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AntChain 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 AntChain for fresh data
Analytical workflows: chain AntChain queries with LlamaIndex's data connectors to build multi-source analytical reports
AntChain MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect AntChain to LlamaIndex via MCP:
deploy_contract
Requires the contract bytecode (compiled bytecode in hex format) and optionally the ABI (Application Binary Interface) for interaction. Returns the deployed contract address and deployment transaction details. The contract will be available under the specified name. Deploy a smart contract on AntChain
get_chain_list
Returns chain IDs, names, creation dates, status, and basic configuration. Use this to discover which blockchains you have access to before performing operations. List all available blockchain networks in your AntChain account
invoke_contract
Provide the contract name, method name, and any required arguments. Returns the execution result including return values, gas consumption, and transaction status. Use this to interact with deployed contracts. Invoke a smart contract method on AntChain
query_account
Use this to inspect account state and activity. Query account information on AntChain
query_account_balance
Returns the available balance and any locked/pending amounts. Useful for checking if an account has sufficient funds for transactions or contract interactions. Query account balance on AntChain
query_block
Returns block metadata including timestamp, transaction count, hash, and previous block reference. Use either blockHeight or blockHash to identify the block. Query block details from an AntChain blockchain
query_contract
Useful for inspecting contract configuration before invocation. Query smart contract information on AntChain
query_latest_transactions
Useful for monitoring network activity, auditing recent transactions, or getting a snapshot of current blockchain operations. Returns a list of recent transactions with their status and metadata. Query the latest transactions on an AntChain blockchain
query_network_info
Useful for monitoring blockchain infrastructure health. Query blockchain network information on AntChain
query_transaction
Returns transaction status, sender, receiver, gas used, block inclusion, and execution result. Useful for verifying transaction finality and inspecting transaction details. Query a transaction on AntChain
Example Prompts for AntChain in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AntChain immediately.
"Show me the latest 5 transactions on my default AntChain network."
"What's the balance of account 0x742d35Cc6634C0532925a3b844Bc9e7595e0bFa8?"
"Invoke the 'transfer' method on contract 'TokenContract' with args {"to": "0x123...", "amount": 100}."
Troubleshooting AntChain MCP Server with LlamaIndex
Common issues when connecting AntChain to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAntChain + LlamaIndex FAQ
Common questions about integrating AntChain MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect AntChain with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AntChain to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
