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Glassnode (On-chain Data) MCP Server for AutoGenGive AutoGen instant access to 6 tools to Get Bulk Metric, Get Metric, Get Metric Details, and more

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Glassnode (On-chain Data) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Glassnode (On-chain Data) MCP Server for AutoGen is a standout in the Data Analytics category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="glassnode_on_chain_data_agent",
            tools=tools,
            system_message=(
                "You help users with Glassnode (On-chain Data). "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Glassnode (On-chain Data)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Glassnode (On-chain Data) MCP Server

Connect your Glassnode account to any AI agent to analyze crypto markets with precision. Fetch real-time and historical on-chain metrics, exchange flows, and network health data through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Glassnode (On-chain Data) tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Asset Discovery — List all supported assets and blockchains using list_assets to identify available data points.
  • Metric Exploration — Query thousands of metric paths with list_metrics and get detailed documentation on parameters via get_metric_details.
  • Time-Series Analysis — Retrieve historical data for active addresses, exchange balances, and price metrics using get_metric.
  • Bulk Data — Fetch metrics for multiple assets simultaneously with get_bulk_metric to compare market trends.
  • Point-in-Time Data — Access immutable historical snapshots via get_pit_metric to eliminate look-ahead bias in backtesting.

The Glassnode (On-chain Data) MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Glassnode (On-chain Data) tools available for AutoGen

When AutoGen connects to Glassnode (On-chain Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning on-chain-data, market-intelligence, crypto-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get bulk metric on Glassnode (On-chain Data)

Use a="*" for all assets. Get bulk metric data for multiple assets

get

Get metric on Glassnode (On-chain Data)

Path should be the metric name like "addresses/active_count" or "market/price_usd_close". Get time-series data for a specific metric

get

Get metric details on Glassnode (On-chain Data)

Get details, allowed parameters, and description for a specific metric

get

Get pit metric on Glassnode (On-chain Data)

Get Point-in-Time (PIT) metric data

list

List assets on Glassnode (On-chain Data)

List all supported assets on Glassnode

list

List metrics on Glassnode (On-chain Data)

Can be filtered by asset, interval, etc. List all available metric paths on Glassnode

Connect Glassnode (On-chain Data) to AutoGen via MCP

Follow these steps to wire Glassnode (On-chain Data) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 6 tools from Glassnode (On-chain Data) automatically

Why Use AutoGen with the Glassnode (On-chain Data) MCP Server

AutoGen provides unique advantages when paired with Glassnode (On-chain Data) through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Glassnode (On-chain Data) tools to solve complex tasks

02

Role-based architecture lets you assign Glassnode (On-chain Data) tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Glassnode (On-chain Data) tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Glassnode (On-chain Data) tool responses in an isolated environment

Glassnode (On-chain Data) + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Glassnode (On-chain Data) MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Glassnode (On-chain Data) while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Glassnode (On-chain Data), a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Glassnode (On-chain Data) data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Glassnode (On-chain Data) responses in a sandboxed execution environment

Example Prompts for Glassnode (On-chain Data) in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Glassnode (On-chain Data) immediately.

01

"List all supported assets on Glassnode."

02

"Get the 'addresses/active_count' metric for BTC from the last 7 days with a 24h interval."

03

"Show me the details and allowed parameters for the metric path 'market/price_usd_close'."

Troubleshooting Glassnode (On-chain Data) MCP Server with AutoGen

Common issues when connecting Glassnode (On-chain Data) to AutoGen through Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Glassnode (On-chain Data) + AutoGen FAQ

Common questions about integrating Glassnode (On-chain Data) MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Glassnode (On-chain Data) tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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