How to Use the Gnosisscan (Gnosis Chain Explorer) MCP in LlamaIndex
Index live Gnosis Chain data into your RAG pipelines with LlamaIndex and the Gnosisscan MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gnosisscan (Gnosis Chain Explorer) MCP to LlamaIndex
Create your Vinkius account to connect Gnosisscan (Gnosis Chain Explorer) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Turn chain data into searchable knowledge
Map the output of `get_account_tokennfttx` or `get_account_txlist` directly into your vector store for semantic search. You stop treating blockchain data as static logs and start treating it as part of your agent's searchable memory. It allows your agent to answer questions about past activity by querying the index rather than re-hitting the API. You get faster responses for historical queries while keeping the context grounded in verified chain events.
Automated RAG with live contract data
Use `get_contract_sourcecode` to pull documentation or logic into your index automatically. Your agent understands the contract behavior because the source code is part of the documents it considers before answering. It gives your agent a massive advantage when debugging or explaining specific DeFi protocols on Gnosis. You combine the live state with your own documentation for a complete view of the chain.
Query historical Gnosis Chain state
Extract specific events using `get_logs` and store them to build a history of contract interactions. Your agent can then answer questions about why a transaction failed by comparing the logs to the contract state. It lets you build a personalized knowledge base of your own transaction history. You'll find answers to complex questions about your account activity without manually searching through block explorers.
Set up Gnosisscan (Gnosis Chain Explorer) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Gnosisscan (Gnosis Chain Explorer) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Gnosisscan (Gnosis Chain Explorer) tools.",
)
response = await agent.run("List recent Gnosisscan (Gnosis Chain Explorer) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gnosisscan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Gnosisscan (Gnosis Chain Explorer) MCP in LlamaIndex
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