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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Moonriver (Moonriver Block Explorer API) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Moonriver (Moonriver Block Explorer API) tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
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.",
tools=mcp_tools,
)
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) 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 CrewAI
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