How to Use the TzKT (Tezos Indexer & Explorer API) MCP in Vercel AI SDK
See Tezos data stream live in your UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TzKT (Tezos Indexer & Explorer API) MCP to Vercel AI SDK
Create your Vinkius account to connect TzKT (Tezos Indexer & Explorer API) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Streaming Blockchain Reads for Vercel AI SDK
When you call `list_transactions`, the results appear instantly, letting users track real-time activity without a loading spinner. This lets your frontend display block details using `get_block` or check account status via `get_account`. The data streams directly into the user interface.
MCP Server for Real-Time Account Status
Need to show a user's current holdings? You can use `list_token_balances` or check historical changes with `get_account_balance_history`. This allows you to build a component that updates account data as it arrives, showing everything from simple calls like `get_head` to complex reports using `get_contract_report`. It's perfect for building user-facing product dashboards where the client needs instant feedback on Tezos assets.
Monitoring Smart Contract Operations
Don't just check an account balance; track what happened. Use `get_operations_by_hash` to pull all transactions linked to a specific hash, or use `list_originations` to see how contracts got started. This gives your application the granular detail needed for debugging or deep dives into smart contract logic using `get_contract_code`.
Set up TzKT (Tezos Indexer & Explorer API) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all TzKT (Tezos Indexer & Explorer API) tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent TzKT (Tezos Indexer & Explorer API) transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TzKT. 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.
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Common questions about TzKT (Tezos Indexer & Explorer API) MCP in Vercel AI SDK
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