How to Use the Metisscan (Metis L2 Network Explorer) MCP in LlamaIndex

Q: Can I filter which Metisscan (Metis L2 Network Explorer) tools my LlamaIndex agent sees?

You can use the allowedtools filter during setup. This limits the agent to only the specific tools required for your knowledge base.

Q: Is Metisscan (Metis L2 Network Explorer) integration in LlamaIndex fully asynchronous?

Yes, you use the totoollistasync method. This ensures that network requests to the explorer don't block your agent's main execution loop.

Q: Does LlamaIndex support resource access from the Metisscan (Metis L2 Network Explorer) server?

By setting includeresources=True, your agent can pull data directly from the server's resource definitions. This is useful for large data sets.

Index live Metis L2 network data into searchable knowledge bases using LlamaIndex and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Metisscan (Metis L2 Network Explorer) MCP to LlamaIndex

Create your Vinkius account to connect Metisscan (Metis L2 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.

GDPR Free for Subscribers

Setup Metisscan (Metis L2 Network Explorer) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground your RAG pipeline in live Metis data

Turn the output of `get_smart_contract` or `get_token` into indexed knowledge. LlamaIndex treats these API results as documents for your vector store. This means your agent answers questions based on current network state. It stops guessing because the data is pulled directly from the chain.

Query past Metisscan tool results semantically

Store the history of your queries within your index. You can search across previous sessions to see what a specific address was doing last week. It moves beyond simple logs. You get a searchable archive of network interactions that your agent can reference at any time.

Automate contract analysis with McpToolSpec

Use the tool specification to map Metisscan functions to your agent. Once converted, LlamaIndex handles the execution and indexing of the returned JSON data. This is ideal for building knowledge-heavy bots. Your agent reads the network, indexes the findings, and answers complex user prompts.

Setup guide

Set up Metisscan (Metis L2 Network Explorer) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Metisscan (Metis L2 Network Explorer) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Metisscan (Metis L2 Network Explorer) tools.",
)
response = await agent.run("List recent Metisscan (Metis L2 Network Explorer) data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Metisscan. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Metisscan (Metis L2 Network Explorer) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Metisscan (Metis L2 Network Explorer) MCP in LlamaIndex

The server tools provide structured data that LlamaIndex ingests into a vector index. This allows for semantic search over raw blockchain information.

You can use the allowed_tools filter during setup. This limits the agent to only the specific tools required for your knowledge base.

Yes, you use the to_tool_list_async method. This ensures that network requests to the explorer don't block your agent's main execution loop.

By setting include_resources=True, your agent can pull data directly from the server's resource definitions. This is useful for large data sets.

The server operates in an ephemeral sandbox. Your API interactions are scoped to the session and no sensitive private keys are handled by the indexing process.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript