How to Use the Moonriver (Moonriver Block Explorer API) MCP in LangChain

Q: How do I hook up the Moonriver (Moonriver Block Explorer API) MCP Server to my LangChain agent?

You install langchain-mcp-adapters and initialize the MultiServerMCPClient pointing to the Vinkius URL. From there, pull the tools via client.gettools() and pass them straight to your agent constructor.

Feed real-time Moonriver blockchain data straight into your LangChain multi-step reasoning pipelines.

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Connect Moonriver (Moonriver Block Explorer API) MCP to LangChain

Create your Vinkius account to connect Moonriver (Moonriver Block Explorer API) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Moonriver (Moonriver Block Explorer API) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Track network transfers directly in LangChain chains

Use `list_transfers` to pull historical account movements directly into your LangChain run. Your agent reads the raw token flow, feeds it to the next node in your chain, and decides if it needs to trigger a deeper forensic check. This setup passes clean JSON outputs directly to your LLM without manual parsing or glue code. You get complete execution tracing in LangSmith, which shows you exactly how the agent formatted the parameters before requesting the transfer list.

Inspect raw blocks with this LangChain MCP Server

Use `get_block` and `list_blocks` to inspect specific blocks and run historical analysis on Moonriver. The agent calls these tools in sequence to trace block propagation delays or map out transaction density over specific time windows. By linking these tools together, your chain feeds block metadata into your downstream logic. You can build autonomous agents that monitor block heights and compare gas fees on the fly without writing custom indexers.

Decode Substrate extrinsics and EVM tokens on demand

Use `list_evm_tokens` and `get_extrinsic` to inspect both the EVM and Substrate layers of the Moonriver network. Your LangChain agent handles the multi-step reasoning required to match a specific extrinsic hash with its corresponding token balance change. You don't have to write custom parsers for the network's dual-state architecture. The tools return clean, structured payloads that fit right into your existing system prompts.

Setup guide

Set up Moonriver (Moonriver Block Explorer API) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Moonriver (Moonriver Block Explorer API) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "moonriver-moonriver-block-explorer-api-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Moonriver (Moonriver Block Explorer API) transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moonriver. 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 Moonriver (Moonriver Block Explorer API) MCP in LangChain

You install `langchain-mcp-adapters` and initialize the `MultiServerMCPClient` pointing to the Vinkius URL. From there, pull the tools via `client.get_tools()` and pass them straight to your agent constructor.

Yes, the agent handles tool selection dynamically based on the user's prompt. It can call `list_transfers` first, inspect the output, and then call `get_account_info` to verify a balance in a single execution loop using the MCP protocol.

Use LangSmith to trace the exact input payloads passed to the tools. This lets you inspect the raw JSON parameters and see precisely why a call to `get_extrinsic` or `get_block` failed.

Yes, it exposes tools for both environments. You can query Substrate metadata with `get_metadata` and list EVM-specific assets using `list_evm_tokens` within the same session.

Your queries go through a secure, isolated V8 sandbox on Vinkius, meaning your raw account addresses and transaction hashes are never stored or logged. The connection is ephemeral, transmitting data directly to your local agent and nowhere else.

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