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Vinkius

Confluence MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Confluence through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "confluence": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Confluence Agent",
    instructions:
      "You help users interact with Confluence " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Confluence?"
  );
  console.log(result.text);
}

main();
Confluence
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* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Confluence tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Confluence MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Confluence via MCP

Why Use Mastra AI with the Confluence MCP Server

Mastra AI provides unique advantages when paired with Confluence through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Confluence without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Confluence tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Confluence + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Confluence MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Confluence, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Confluence as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Confluence on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Confluence tools alongside other MCP servers

Confluence MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Confluence to Mastra AI via MCP:

01

add_page_comment

The body should be in storage format (HTML). Add a new comment to a Confluence page

02

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

03

get_page

Returns content body, space, version history, and metadata. Retrieve detailed information about a specific page

04

get_space_details

Returns metadata, description, homepage, and permissions overview. Retrieve detailed information about a specific space

05

list_page_comments

Returns inline and footer comments with author and content. Retrieve all comments for a specific Confluence page

06

list_pages

Optionally filter by space key. Supports pagination via start offset and limit. Retrieve a list of pages from Confluence

07

list_spaces

Retrieve a list of all spaces in Confluence

08

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 Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Confluence immediately.

01

"Search Confluence for documentation regarding our 'Q3 Migration Plan'."

02

"Create a new page in the 'Product' space summarizing our meeting notes from today."

03

"List all wiki pages currently under the space key 'HR'."

Troubleshooting Confluence MCP Server with Mastra AI

Common issues when connecting Confluence to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Confluence + Mastra AI FAQ

Common questions about integrating Confluence MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Confluence to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.