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Glassnode (On-chain Data) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Bulk Metric, Get Metric, Get Metric Details, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Glassnode (On-chain Data) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Glassnode (On-chain Data) MCP Server for Vercel AI SDK 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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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Glassnode (On-chain Data), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Glassnode (On-chain Data)
Fully ManagedVinkius Servers
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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.

The Vercel AI SDK gives every Glassnode (On-chain Data) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Glassnode (On-chain Data) and passes them to the LLM

Why Use Vercel AI SDK with the Glassnode (On-chain Data) MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Glassnode (On-chain Data) integration everywhere

03

Built-in streaming UI primitives let you display Glassnode (On-chain Data) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Glassnode (On-chain Data) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Glassnode (On-chain Data) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Glassnode (On-chain Data) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Glassnode (On-chain Data) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Glassnode (On-chain Data) through natural language queries

Example Prompts for Glassnode (On-chain Data) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Glassnode (On-chain Data) + Vercel AI SDK FAQ

Common questions about integrating Glassnode (On-chain Data) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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