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Vinkius

Glassnode (On-chain Data) Connector for AI agents.

6 live capabilities

Analyze on-chain crypto market data and whale movements.

Live agent request Glassnode (On-chain Data) / Connector

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AI Agent

Why people use Glassnode (On-chain Data)

Glassnode for Real-Time On-Chain Market Intelligence

With this Connector, you just ask your agent what the whales are doing. It pulls the data directly from Glassnode and gives you a clear summary in seconds. You get the facts without the manual data entry.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That you get instant access to professional crypto market intelligence through a natural conversation with your agent.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Whale Movement Tracking

    A trader asks the agent to check for large exchange inflows to see if a major sell-off is coming.

  2. Real-world use case 02

    Backtesting Models

    A researcher pulls point-in-time data to build a trading model without using future information.

  3. Real-world use case 03

    Multi-Asset Comparison

    A user compares the active address growth of BTC versus ETH to see which network is gaining more traction.

Complete set · 6capabilities

The complete Glassnode (On-chain Data) capability set.

These are the exact actions your AI can choose when you ask it to work with Glassnode (On-chain Data).

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 6 available through Glassnode (On-chain Data).

  1. 01 Capability

    Get pit metric

    Access immutable point-in-time snapshots to avoid look-ahead bias. This is a requirement for accurate historical backtesting.

  2. 02 Capability

    Get bulk metric

    Fetch metrics for multiple assets simultaneously to compare market trends. This is useful for seeing how different coins are moving at the same time.

  3. 03 Capability

    Get metric details

    Get specific details and allowed parameters for a particular metric path. Use this to understand exactly what data points are available for your query.

Capability set02 / 02

04—06

3 capabilities in this set.

Part of 6 available through Glassnode (On-chain Data).

  1. 04 Capability

    Get metric

    Retrieve historical time-series data for a specific on-chain metric. This allows you to see trends over days, weeks, or months.

  2. 05 Capability

    List assets

    List every supported asset and blockchain currently available on Glassnode. Use this to see the full scope of the data you can access.

  3. 06 Capability

    List metrics

    Browse all available metric paths on Glassnode filtered by asset or interval. This helps you find the right data for your specific analysis.

Set up in minutes

One URL. Then ask Glassnode (On-chain Data) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Glassnode (On-chain Data) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_sf8UKXcBQqPcPNMvyZsWXhh2hZUV2Zvzu9VeihtG/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Glassnode (On-chain Data), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Glassnode (On-chain Data) for the conversation.

Where the request belongs

Work Glassnode can move forward.

Built around the request

For crypto traders who need to see whale movements without refreshing tabs, data scientists building backtesting models, and financial analysts who need clean on-chain data for reports.

01

Crypto Trader

Monitors exchange inflows and whale movements to time entries and manage risk.

02

Data Scientist

Pulls clean time-series data directly into a local analysis environment for model training.

03

Financial Analyst

Generates reports on network growth and valuation metrics for institutional clients.

Bring your own AI

Change the model, client or framework. Keep Glassnode connected.

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Before you connect

Questions about Glassnode.

The practical details behind the request, access and result.

Can I use the Glassnode MCP to track whale movements?

Yes. This Connector allows your agent to pull specific on-chain metrics that highlight large movements from private wallets to exchanges, helping you spot potential market shifts.

Does the Glassnode MCP support more than just Bitcoin?

It supports over 1,000 assets across multiple blockchains, including Ethereum, Polygon, and many others.

Can I use this for backtesting my trading models?

Yes. By using point-in-time snapshots, you can access historical data that is immutable, which helps you avoid look-ahead bias in your backtesting.

How does the Glassnode MCP help with market research?

It replaces manual data scraping by letting you ask your agent questions about exchange flows, network health, and price trends directly.

Is the data provided by the Glassnode MCP real-time?

The Connector provides access to both real-time and historical on-chain metrics, depending on the specific metric path you choose to query.

What kind of assets can I see with the Glassnode MCP?

You can see a wide variety of assets, ranging from major coins like BTC and ETH to smaller tokens and various blockchain-specific assets.

How can I find the exact path for a specific metric like 'Active Addresses'?

Use the list_metrics capability with the asset symbol (e.g., 'BTC') to see all available paths, or use get_metric_details with a known path to see its full documentation and allowed parameters.

Can I fetch data for multiple coins at once?

Yes, use the get_bulk_metric capability. You can specify a specific asset or use a wildcard * to get data for all supported assets for a specific metric path in a single response.

What is the difference between standard metrics and Point-in-Time (PIT) metrics?

Standard get_metric returns the most accurate current data (which may include revisions). get_pit_metric provides an immutable view of data as it was known at a specific moment, which is essential for backtesting to avoid look-ahead bias.

One connection away

Give your agent a direct line to Glassnode.

Connect Glassnode once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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