How to Use the Ankr (Web3 Node API) MCP in CrewAI
Deploy specialized Web3 research and monitoring crews using CrewAI and this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ankr (Web3 Node API) MCP to CrewAI
Create your Vinkius account to connect Ankr (Web3 Node 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.
CrewAI Multi-Agent Research
Assign one agent to `ankr_getBlocks` for data gathering while another agent analyzes the results. Your crew works together to track chain activity or protocol changes. Specialized agents share the load. One agent focuses on querying the network, while the other interprets the findings for your final report.
Autonomous Blockchain Monitoring
Use `eth_getBlockByNumber` to keep your monitoring agents synced with the latest network state. Your crew automatically flags anomalies or interesting transactions. This keeps your operations running 24/7 without manual input. The agents check the blocks, compare findings, and report only what matters to you.
Transaction and Account Oversight
Empower your agents to check `eth_getTransactionByHash` for audit purposes. You can build a crew that validates transaction history across multiple blocks. This gives your team a clear picture of what happened on-chain. Your agents handle the heavy lifting of parsing raw transaction data into human-readable insights.
Set up Ankr (Web3 Node 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 Ankr (Web3 Node API) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Ankr (Web3 Node API) Analyst",
goal="Access and analyze Ankr (Web3 Node API) data via MCP.",
backstory="Expert analyst with direct Ankr (Web3 Node API) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Ankr (Web3 Node 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="Ankr (Web3 Node API) Analyst",
goal="Access and analyze Ankr (Web3 Node API) data via MCP.",
backstory="Expert analyst with direct Ankr (Web3 Node API) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Ankr (Web3 Node 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 Ankr. 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 Ankr (Web3 Node API) MCP in CrewAI
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