Vinkius

Glassnode On-chain Data MCP. Analyze Bitcoin and Ethereum metrics instantly.

Glassnode (On-chain Data) gives your AI client direct access to institutional-grade on-chain metrics for Bitcoin, Ethereum, and over a thousand assets. You can pull real-time exchange flows, network health data, and historical time-series data using natural conversation. It's built for serious crypto research, allowing you to backtest models and compare market trends across multiple digital assets instantly.

Glassnode On-chain Data MCP is compatible with Claude Claude
Glassnode On-chain Data MCP is compatible with ChatGPT ChatGPT
Glassnode On-chain Data MCP is compatible with Cursor Cursor
Glassnode On-chain Data MCP is compatible with Gemini Gemini
Glassnode On-chain Data MCP is compatible with Windsurf Windsurf
Glassnode On-chain Data MCP is compatible with VS Code VS Code
Glassnode On-chain Data MCP is compatible with JetBrains JetBrains
Glassnode On-chain Data MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

List supported assets

It shows you every asset and blockchain type that can be analyzed.

Explore metric documentation

You get detailed explanations, allowed parameters, and descriptions for specific metrics paths.

Retrieve time-series data

It fetches historical trends for any specified on-chain metric over a chosen period.

Compare multiple assets in bulk

You can pull the same type of metric across several different digital assets simultaneously to compare market health.

Access historical snapshots

It pulls immutable data points for backtesting, ensuring your analysis avoids looking ahead at future prices.

Waiting for input…

AI Agent
Glassnode On-chain Data

What AI agents can do with Glassnode (On-chain Data) MCP: 6 Tools

Use these tools to list supported assets, explore metric documentation, pull time-series data, run bulk comparisons, and access historical snapshots for rigorous crypto analysis.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Glassnode (On-chain Data) MCP

Get Bulk Metric

Retrieves a metric across multiple assets at once for comparison.

Get Metric Details

Provides the specific parameters and description for any given on-chain metric path.

Get Metric

Gets a standard time-series data set for one specified metric over time.

Get Pit Metric

Retrieves an immutable historical snapshot of a metric at a specific point in time.

List Assets

Outputs a comprehensive list of all supported cryptocurrencies and assets on...

List Metrics

Lists every available metric path, allowing you to see what data is even measurable.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Glassnode On-chain Data MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Glassnode On-chain Data integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Glassnode (On-chain Data), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Glassnode On-chain Data MCP server cover

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

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The constant struggle of building crypto reports

Today, getting a comprehensive view of market health is a mess. You're forced to open ten different browser tabs—one for Bitcoin flow, one for Ethereum metrics, another for exchange balances, and then maybe two more just to find the correct historical data point. Then you spend an hour copy-pasting numbers from dashboard A into your Excel sheet, manually verifying that they match what dashboard B says.

With this MCP, you talk to your agent once. You ask it for a multi-asset comparison across three metrics—like active addresses and exchange balances. The raw, structured data arrives formatted and ready in the chat window. It's not just faster; it changes what's possible.

Get On-Chain Metrics with Glassnode (On-chain Data)

The process of looking up metrics used to involve jumping through hoops: checking the API documentation, figuring out parameter limits, and writing complex queries just to list available assets. You’d spend half your time on setup and the other half analyzing.

Now, you simply ask. The MCP handles the complexity behind the scenes. It gives you access to institutional-grade data points like exchange flows and network metrics without needing a single line of code or deep API knowledge.

What Glassnode On-chain Data MCP does for your AI

Use this MCP to analyze crypto markets with the precision of institutional tools. Instead of checking ten different dashboards just to track a few key metrics, your AI client fetches everything—from active address counts to specific asset flows—all in one place. You can query thousands of metric paths and pull historical data for any number of assets at once.

It's about getting clean, structured time-series data directly into your chat environment. If you use Vinkius, this MCP integrates that depth of on-chain intelligence right where you’re working with your AI agent. This lets crypto traders monitor whale movements without ever leaving the conversational interface, and it gives data scientists the raw metrics they need for rigorous modeling.

Built · Hosted · Managed by Vinkius Glassnode On-chain Data - Crypto Metrics MCP
Server ID 019e389f-fff5-7004-a5a5-af0fbabaac7d
Vinkius Inspector
Compliance Grade A+
Score 98.33/100
Vinkius Inspector Badge — Score 98.33/100

Frequently asked questions about Glassnode On-chain Data MCP

How do I start getting on-chain data using Glassnode (On-chain Data) MCP? +

First, you need to subscribe and provide your API key. Once connected, simply ask your AI client for the metrics you want; it handles the rest.

Can I use get_bulk_metric if I only care about one asset? +

Yes, you can. While designed for comparison, you can still use it to query a single asset, but listing metrics or using get_metric is often simpler for singular focus.

What is the difference between get_metric and get_pit_metric? +

get_metric pulls standard time-series data (like averages over a period). get_pit_metric provides an immutable snapshot of the market at one precise moment, which is critical for backtesting.

Does list_assets show all assets I can analyze? +

Yes, running list_assets will give you a complete catalog of supported digital assets and blockchains right out of the gate.

What if I need documentation for a metric path? Should I use get_metric_details? +

Yes. Use get_metric_details to understand exactly what a specific metric means, what parameters it accepts, and how it's calculated.