Pydantic AISDK

Glassnode (On-chain Data) MCP Server

Bring On Chain Data
to Pydantic AI

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

Learn how to connect Glassnode (On-chain Data) to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Bulk MetricGet MetricGet Metric DetailsGet Pit MetricList AssetsList Metrics

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Glassnode API Key
Start querying on-chain intelligence from Claude, Cursor, or any MCP-compatible client

Who is this for?

Crypto Traders — monitor exchange inflows and whale movements without leaving the chat
Data Scientists — pull clean time-series data directly into your analysis environment
Financial Analysts — generate reports on network growth and valuation metrics instantly

Built-in capabilities (6)

get_bulk_metric

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

get_metric

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

get_metric_details

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

get_pit_metric

Get Point-in-Time (PIT) metric data

list_assets

List all supported assets on Glassnode

list_metrics

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

Why Pydantic AI?

Pydantic AI validates every Glassnode (On-chain Data) tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Glassnode (On-chain Data) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Glassnode (On-chain Data) connection logic from agent behavior for testable, maintainable code

See it in action

Glassnode (On-chain Data) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Glassnode (On-chain Data) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Glassnode (On-chain Data) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Glassnode (On-chain Data) in Pydantic AI

The Glassnode (On-chain Data) 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Glassnode (On-chain Data) details →

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

The Vinkius Advantage

How Vinkius secures
Glassnode (On-chain Data) for Pydantic AI

Every tool call from Pydantic AI to the Glassnode (On-chain Data) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

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

Use the list_metrics tool 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 tool. 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.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Glassnode (On-chain Data) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.