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

Q: How do I connect Moonriver (Moonriver Block Explorer API) MCP Server to Pydantic AI?

Install pydantic-ai-slimmcp and initialize MCPToolset with your Vinkius HTTP endpoint. Pass the toolset instance to your Agent via the toolsets argument.

Q: How is my transaction query data protected during validation?

The MCP connection only reads public on-chain data like listtransfers and getextrinsic, so it doesn't touch private keys. All validation happens locally in your Python environment, and Vinkius hosts the endpoint inside a secure, zero-trust sandbox.

Run type-safe Moonriver blockchain queries in Pydantic AI with this MCP Server, validating every transaction and block payload.

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Connect Moonriver (Moonriver Block Explorer API) MCP to Pydantic AI

Create your Vinkius account to connect Moonriver (Moonriver Block Explorer API) to Pydantic AI 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 Pydantic AI

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Validate account balances and transfers

`get_account_info` retrieves the exact balance and nonce of a Moonriver address. Pydantic AI validates the returned JSON structure against strict schemas at runtime, preventing your agent from processing malformed data. When tracking fund movements, `list_transfers` lists historical transfers with guaranteed type safety. If the API schema changes unexpectedly, your Python code raises a validation error immediately instead of failing silently.

Parse blocks safely using this MCP Server

`get_block` and `list_blocks` fetch structured block headers and transactions. Your agent uses these tools to inspect block height, parent hashes, and state roots with absolute schema certainty. For granular transaction debugging, `get_extrinsic` and `list_extrinsics` pull transaction-level details. Every field, from gas fees to extrinsic indices, is parsed and verified before your agent logic executes.

Inspect runtime metadata and EVM tokens

`get_metadata` retrieves the current runtime specifications directly from the chain. Your agent parses this complex payload to understand active pallet structures and dispatchable functions. To monitor token deployments, `list_evm_tokens` indexes active ERC-20 contracts on the network. The strict typing ensures that token addresses and decimals are parsed as expected every single time.

Setup guide

Set up Moonriver (Moonriver Block Explorer API) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "moonriver-moonriver-block-explorer-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Moonriver (Moonriver Block Explorer API) tools.",
)

result = await agent.run("List recent Moonriver (Moonriver Block Explorer API) transactions")
print(result.output)

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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 Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass the toolset instance to your `Agent` via the `toolsets` argument.

Pydantic AI validates every JSON response from the server against strict type models. If a tool like `get_account_info` returns an unexpected field format, the agent raises a validation error immediately.

Yes. Pydantic AI is model-agnostic, meaning you can use this server with local models or commercial APIs. The validation layer runs in Python, independent of the model you choose.

No. The server runs externally on Vinkius's managed infrastructure. Your Pydantic AI agent connects to the hosted endpoint over a secure HTTP or SSE transport.

The MCP connection only reads public on-chain data like `list_transfers` and `get_extrinsic`, so it doesn't touch private keys. All validation happens locally in your Python environment, and Vinkius hosts the endpoint inside a secure, zero-trust sandbox.

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