Confluence MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Confluence through the 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 Confluence, 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 Confluence MCP Server
Connect your Atlassian Confluence workspace to your AI assistant. Easily query your organization's knowledge base, search through technical documentation, and seamlessly generate new formatted pages right from the conversational interface.
The Vercel AI SDK gives every Confluence tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Search Wiki Spaces — Quickly retrieve specific software architecture decisions, HR policies, or meeting notes without switching tabs.
- Read Pages — Extract the complete text and markdown-structured content of existing wiki pages for quick summaries.
- Create & Publish — Draft robust product requirements documents (PRDs) or meeting minutes using the AI, and publish them directly to your designated Confluence spaces.
The Confluence MCP Server exposes 8 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 Confluence to Vercel AI SDK via MCP
Follow these steps to integrate the Confluence 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 8 tools from Confluence and passes them to the LLM
Why Use Vercel AI SDK with the Confluence MCP Server
Vercel AI SDK provides unique advantages when paired with Confluence 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 Confluence integration everywhere
Built-in streaming UI primitives let you display Confluence 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
Confluence + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Confluence MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Confluence in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Confluence tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Confluence capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Confluence through natural language queries
Confluence MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Confluence to Vercel AI SDK via MCP:
add_page_comment
The body should be in storage format (HTML). Add a new comment to a Confluence page
create_page
Requires the space key, a title, and body content in Confluence storage format (HTML). The page is created at the root of the space. Create a new page in a Confluence space
get_page
Returns content body, space, version history, and metadata. Retrieve detailed information about a specific page
get_space_details
Returns metadata, description, homepage, and permissions overview. Retrieve detailed information about a specific space
list_page_comments
Returns inline and footer comments with author and content. Retrieve all comments for a specific Confluence page
list_pages
Optionally filter by space key. Supports pagination via start offset and limit. Retrieve a list of pages from Confluence
list_spaces
Retrieve a list of all spaces in Confluence
search_confluence
g. text ~ "project" AND type = "page"). Returns matching pages, blog posts, and comments. Search for content using Confluence Query Language (CQL)
Example Prompts for Confluence in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Confluence immediately.
"Search Confluence for documentation regarding our 'Q3 Migration Plan'."
"Create a new page in the 'Product' space summarizing our meeting notes from today."
"List all wiki pages currently under the space key 'HR'."
Troubleshooting Confluence MCP Server with Vercel AI SDK
Common issues when connecting Confluence to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpConfluence + Vercel AI SDK FAQ
Common questions about integrating Confluence 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 Confluence 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 Confluence to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.