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

Name: Glassnode (On-chain Data)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Glassnode (On-chain Data) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Glassnode (On-chain Data) MCP Server for Google ADK 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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+ other MCP clients

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="glassnode_on_chain_data_agent",
    instruction=(
        "You help users interact with Glassnode (On-chain Data) "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Glassnode (On-chain Data) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 6 tools from Glassnode (On-chain Data) via MCP

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

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Glassnode (On-chain Data)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Glassnode (On-chain Data) tools with BigQuery, Vertex AI, and Cloud Functions

Glassnode (On-chain Data) + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Glassnode (On-chain Data) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Glassnode (On-chain Data) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Glassnode (On-chain Data) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Glassnode (On-chain Data)

Example Prompts for Glassnode (On-chain Data) in Google ADK

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

"List all supported assets on Glassnode."

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

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

Troubleshooting Glassnode (On-chain Data) MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Glassnode (On-chain Data) + Google ADK FAQ

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

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.