Coda 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 Coda 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 Coda, 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 Coda MCP Server
Connect your AI to Coda, the collaborative document platform that brings together words, data, and teams.
The Vercel AI SDK gives every Coda 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
- Document Browsing — List your recent docs and navigate their sections, tables, and pages.
- Table Data — Read rows from any Coda table, filter by column values, and update records.
- Formula Values — Retrieve the live value of any named formula in a doc for real-time reporting.
The Coda 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 Coda to Vercel AI SDK via MCP
Follow these steps to integrate the Coda 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 Coda and passes them to the LLM
Why Use Vercel AI SDK with the Coda MCP Server
Vercel AI SDK provides unique advantages when paired with Coda 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 Coda integration everywhere
Built-in streaming UI primitives let you display Coda 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
Coda + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Coda MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Coda in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Coda tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Coda capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Coda through natural language queries
Coda MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Coda to Vercel AI SDK via MCP:
delete_rows
Delete one or more rows from a Coda table
get_doc_details
Retrieve detailed information about a specific Coda document
get_formula_value
Retrieve the current calculated value of a named formula
insert_rows
Insert new rows into a Coda table
list_columns
Retrieve a list of columns in a Coda table
list_docs
Retrieve a list of Coda documents available to you
list_formulas
Retrieve a list of named formulas in a Coda document
list_rows
Retrieve rows from a specific table in a Coda document
list_tables
Retrieve a list of tables within a specific Coda document
update_row
Update an existing row in a Coda table
Example Prompts for Coda in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Coda immediately.
"Show me my recent documents in Coda."
"Get the current value of formula 'TotalBudget' in doc 'doc-yyyy'."
"Check the status of task 'Q3 Launch' in our Sprint Board table."
Troubleshooting Coda MCP Server with Vercel AI SDK
Common issues when connecting Coda to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoda + Vercel AI SDK FAQ
Common questions about integrating Coda 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 Coda 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 Coda to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.