Tettra MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tettra 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 Tettra, 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 Tettra MCP Server
Connect your Tettra internal knowledge base to any AI agent and bring your company's documentation directly into your developer workflow. No more switching tabs to look up API specs or onboarding guides.
The Vercel AI SDK gives every Tettra tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Deep Search — Perform full-text searches across all your company's Tettra pages to instantly find answers and organizational knowledge
- Knowledge Retrieval — Read the complete markdown/HTML content of any page, technical guide, or team policy natively inside your chat
- Content Creation — Command your agent to draft and publish new wiki pages, or suggest documentation updates on the fly
- Category Navigation — Browse through your team's top-level categories, root folders, and subcategories visually
- Q&A Management — Post new questions to your team's internal Q&A board or list unanswered questions right from your IDE
The Tettra MCP Server exposes 12 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 Tettra to Vercel AI SDK via MCP
Follow these steps to integrate the Tettra 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 12 tools from Tettra and passes them to the LLM
Why Use Vercel AI SDK with the Tettra MCP Server
Vercel AI SDK provides unique advantages when paired with Tettra 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 Tettra integration everywhere
Built-in streaming UI primitives let you display Tettra 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
Tettra + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tettra MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tettra in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tettra tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tettra capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tettra through natural language queries
Tettra MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Tettra to Vercel AI SDK via MCP:
create_qa_question
Posts a new question in the Tettra Q&A system
create_wiki_page
Provide title, content, and category ID. Creates a new wiki page in a specific category
get_category_details
Retrieves details for a specific Tettra category
get_page_content
Returns title and Markdown/HTML body. Retrieves the full content and metadata of a specific Tettra page
list_categories
Lists all top-level categories in the Tettra wiki
list_pages_in_category
Lists all wiki pages within a specific category
list_qa_questions
Lists all questions posted in the Tettra Q&A system
list_subcategories
Lists all subcategories under a specific parent category
search_pages
Returns up to 5 matching pages. Full-text search across all Tettra wiki pages
suggest_new_page
Suggests a new wiki page to the team
update_wiki_page
Provide the page ID and the new fields. Updates the title or content of an existing Tettra page
verify_wiki_page
Marks a Tettra page as verified and up-to-date
Example Prompts for Tettra in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tettra immediately.
"Search the wiki for 'Database Migration Checklist'."
"Create a new wiki page in the 'Support' category explaining how to handle refund requests."
"Mark page ID 883 as verified and up to date."
Troubleshooting Tettra MCP Server with Vercel AI SDK
Common issues when connecting Tettra to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTettra + Vercel AI SDK FAQ
Common questions about integrating Tettra 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 Tettra 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 Tettra to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.