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

Deploy a crew of autonomous agents to research and act on Moonriver data.

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Connect Moonriver (Moonriver Block Explorer API) MCP to CrewAI

Create your Vinkius account to connect Moonriver (Moonriver Block Explorer API) to CrewAI 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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Autonomous team research

Assign a researcher agent to use `list_blocks` for gathering data. Another agent can then interpret these results using `get_extrinsic` to identify key events. Your crew works together to analyze the chain. This setup handles large data sets without you needing to manage individual queries.

Role-based chain monitoring

Give your monitor agent access to `get_account_info` while your moderator agent handles alerts. This role-based approach keeps your agents focused on their specific tasks. It turns raw blockchain data into actionable insights. Your crew handles the heavy lifting of watching the network for you.

Shared memory operations

Use the shared memory in CrewAI to store results from `list_transfers`. Agents access this history to build a complete picture of account activity over time. It makes your agents more persistent. They don't just act on one block; they understand the context of what happened before.

Setup guide

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

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Moonriver (Moonriver Block Explorer API) tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Moonriver (Moonriver Block Explorer API) Analyst",
    goal="Access and analyze Moonriver (Moonriver Block Explorer API) data via MCP.",
    backstory="Expert analyst with direct Moonriver (Moonriver Block Explorer API) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Moonriver (Moonriver Block Explorer API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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

Single dashboard

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place for every integration

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

Common questions about Moonriver (Moonriver Block Explorer API) MCP in CrewAI

Pass the server URL to the agent's MCP list. Once connected, your agents can start using the tools immediately.
Yes. By using shared memory, your agents can pass data they retrieve from the Moonriver (Moonriver Block Explorer API) to one another.
Use the tool filter in your agent configuration. This ensures that only the relevant tools for each agent's role are exposed.
Yes. The server supports multiple transport types, making it easy to run in your terminal or CI/CD pipelines.
The server only reads public ledger information. No account credentials or private keys are ever transmitted or stored by this tool.

Start using the Moonriver (Moonriver Block Explorer API) MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Moonriver (Moonriver Block Explorer API). Just plug in your AI agents and start using Vinkius.

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All 8 tools are live and waiting. You're up and running in seconds.

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