Cody AI 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 Cody AI 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
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 Cody AI, 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 Cody AI MCP Server
Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.
The Vercel AI SDK gives every Cody AI 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
- Bot Management — List active bots, check their configurations, and view which documents they're trained on.
- Conversations — Start conversations with any bot and ask questions against your knowledge base.
- Document Import — Import web pages and files into specific folders to expand a bot's knowledge.
The Cody AI 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 Cody AI to Vercel AI SDK via MCP
Follow these steps to integrate the Cody AI 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 Cody AI and passes them to the LLM
Why Use Vercel AI SDK with the Cody AI MCP Server
Vercel AI SDK provides unique advantages when paired with Cody AI 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 Cody AI integration everywhere
Built-in streaming UI primitives let you display Cody AI 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
Cody AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cody AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cody AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cody AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cody AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cody AI through natural language queries
Cody AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Cody AI to Vercel AI SDK via MCP:
create_conversation
Create a new conversation session with a specific bot
get_bot_details
Retrieve detailed information about a specific bot
get_document_status
Check the syncing status of a document to see if the AI has finished learning it
import_webpage
Import content from a URL into a specific folder in your knowledge base
list_bots
Retrieve all bots configured in your Cody AI account
list_conversations
Retrieve a list of recent conversations
list_documents
Retrieve a list of documents in your knowledge base
list_folders
Retrieve a list of folders in your knowledge base
list_messages
Retrieve the message history for a specific conversation
send_message
Send a prompt to the AI in a specific conversation
Example Prompts for Cody AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cody AI immediately.
"Show me all active bots in Cody AI."
"Ask bot 'bot-xxxx': 'How do I reset my password?'"
"Import my local 'compliance_guidelines.pdf' into the Legal Bot's knowledge base."
Troubleshooting Cody AI MCP Server with Vercel AI SDK
Common issues when connecting Cody AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCody AI + Vercel AI SDK FAQ
Common questions about integrating Cody AI 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 Cody AI 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 Cody AI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.