Coda MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Delete Rows, Get Doc Details, Get Table Details, and more
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.
Ask AI about this App Connector for Vercel AI SDK
The Coda app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Coda account to any AI agent and take full control of your collaborative workspace and structured data workflows through natural conversation.
The Vercel AI SDK gives every Coda tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 Orchestration — List and manage your Coda documents programmatically, retrieving detailed metadata and ownership information
- Table & View Intelligence — Access and monitor table structures (columns) and row data in real-time to maintain a high-fidelity database directly through your agent
- Data Manipulation — Programmatically insert, update, or delete rows in any table to coordinate your relational data and project trackers
- Formula Automation — Retrieve named formula values and workspace insights to leverage Coda's computational power within your AI workflows
- Account Visibility — Access your Coda profile and workspace metadata directly through your agent for instant operational reporting
The Coda MCP Server exposes 11 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.
All 11 Coda tools available for Vercel AI SDK
When Vercel AI SDK connects to Coda through Vinkius, your AI agent gets direct access to every tool listed below — spanning document-automation, structured-data, workspace-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Remove rows from a table
Get metadata for a doc
Get details for a table
Get your Coda profile
Add new rows to a table
List columns for a table
List your Coda documents
List formulas in a document
Supports filtering. List rows from a table
List tables in a document
Update fields in a row
Connect Coda to Vercel AI SDK via MCP
Follow these steps to wire Coda into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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
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.
"List all tables in Coda document ID 'doc_123'."
"Add a row to 'Tasks' with Title 'Design API' and Priority 'High'."
"Retrieve the value of the named formula 'Total_Project_Budget'."
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.