Messari MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Messari through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Messari, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Messari MCP Server
Connect your Messari account to any AI agent and access deep insights into the crypto ecosystem through natural conversation.
The Vercel AI SDK gives every Messari tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Research — List all available crypto assets and fetch detailed metadata and qualitative profiles
- Quantitative Metrics — Retrieve real-time pricing, market cap, and supply data for thousands of tokens
- Market Monitoring — Enumerate crypto exchanges and trading pairs to understand market depth
- News & Intelligence — Stay updated with an aggregated feed of crypto news and significant governance events
- Deep Inspection — Query historical timeseries and performance data for specific blockchain protocols
The Messari MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Messari to Vercel AI SDK via MCP
Follow these steps to integrate the Messari MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Messari and passes them to the LLM
Why Use Vercel AI SDK with the Messari MCP Server
Vercel AI SDK provides unique advantages when paired with Messari through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Messari integration everywhere
Built-in streaming UI primitives let you display Messari tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Messari + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Messari MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Messari in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Messari tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Messari capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Messari through natural language queries
Messari MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Messari to Vercel AI SDK via MCP:
get_asset_details
g. btc, eth). Get details for a crypto asset
get_asset_market_data
Get market data for an asset
get_asset_metrics
Get metrics for a crypto asset
get_asset_profile
Get asset profile
get_crypto_news
Get crypto news feed
list_assets
List crypto assets
list_crypto_exchanges
List supported exchanges
list_crypto_markets
List all crypto markets
list_governance_events
List governance events
search_assets
Search for crypto assets
Example Prompts for Messari in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Messari immediately.
"Show current metrics for Bitcoin (BTC)."
"What are the latest crypto news headlines?"
"List all DeFi assets tracked by Messari."
Troubleshooting Messari MCP Server with Vercel AI SDK
Common issues when connecting Messari to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMessari + Vercel AI SDK FAQ
Common questions about integrating Messari MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Messari with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Messari to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.