How to Use the Nearblocks (Near Blockchain Explorer API) MCP in CrewAI

Deploy specialized agent crews to audit Near blockchain data using the Nearblocks MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Nearblocks (Near Blockchain Explorer API) MCP to CrewAI

Create your Vinkius account to connect Nearblocks (Near Blockchain 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.

GDPR Free for Subscribers

Setup Nearblocks (Near Blockchain Explorer API) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized audit crews

Assign an agent to monitor blocks using `get_latest_blocks` while another analyzes transactions with `get_transaction_details`. CrewAI coordinates these agents so they share the data they find. This allows for complex monitoring tasks. You can have one agent filter for specific transaction types while another takes action on the findings.

Automated network reporting

Task your research agents with fetching `get_network_stats`. They summarize the state of the network and report back to your primary agent for decision-making. This setup removes the need for manual data gathering. Your crew stays updated on gas prices and validator activity by running these tools on a schedule.

Account history research

Let your research agent pull history via `get_account_transactions` to build a report for your analysis agent. It is a standard way to verify account behavior over time. Your agents collaborate to parse this data and identify patterns. This removes the grunt work of searching through explorer pages manually.

Setup guide

Set up Nearblocks (Near Blockchain Explorer API) MCP in CrewAI

Prerequisites

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

1

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

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Nearblocks (Near Blockchain Explorer API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Nearblocks (Near Blockchain Explorer API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Nearblocks (Near Blockchain Explorer API) Analyst",
        goal="Access and analyze Nearblocks (Near Blockchain Explorer API) data via MCP.",
        backstory="Expert analyst with direct Nearblocks (Near Blockchain Explorer API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Nearblocks (Near Blockchain Explorer API) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nearblocks. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Nearblocks (Near Blockchain Explorer API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about Nearblocks (Near Blockchain Explorer API) MCP in CrewAI

You pass the server URL directly into your agent definition. This gives your crew immediate access to the full suite of explorer tools for their tasks.

Yes. Since agents share memory, one agent can fetch data using the tools and another can use that data to complete a follow-up task.

It does. You can have a manager agent delegate specific data-fetching tasks to sub-agents, who then use the tools to retrieve the necessary information.

Any agent in your crew can use the tools, provided you grant them access in the agent configuration. There is no hard limit on concurrent tool usage.

The server only interacts with public, on-chain data points. It does not access or store sensitive information, as it only performs read operations against the explorer API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript