How to Use the Celoscan (Celo Network Explorer) MCP in LlamaIndex
Index live Celo blockchain records directly into your LlamaIndex RAG pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Celoscan (Celo Network Explorer) MCP to LlamaIndex
Create your Vinkius account to connect Celoscan (Celo Network 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.
Semantic Search Over Smart Contract Code
Forget about digging through raw explorer pages manually. This MCP Server lets your LlamaIndex agent fetch contract source code with `get_contract_source_code` and parse it into vector nodes. You can query your indexed vector store to find specific vulnerability patterns or functions. The agent uses actual verified code from Celoscan to answer technical questions instead of guessing.
Grounding RAG Queries in Celo Network Data
Feed live transaction receipts into your index to eliminate hallucinated block data. Your agent retrieves raw data via `get_normal_transactions` and indexes it on the fly. When you ask about recent wallet activity, LlamaIndex queries this fresh local index. It matches your semantic query with exact transaction records retrieved by `get_internal_transactions`.
Dynamic Balance and Supply Indexing with LlamaIndex
Keep your financial knowledge bases accurate without constant manual exports. The agent queries `get_erc20_token_supply` and `get_total_celo_supply` to update your data store. It then indexes these metrics alongside current token holdings retrieved via `get_erc20_token_balance`. Your downstream queries always fetch the most recent block state.
Set up Celoscan (Celo Network 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 Celoscan (Celo Network 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 Celoscan (Celo Network Explorer) tools.",
)
response = await agent.run("List recent Celoscan (Celo Network 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 Celoscan. 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 Celoscan (Celo Network Explorer) MCP in LlamaIndex
Use it with your favorite AI tools
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