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Matrix/Element MCP Server for Mastra AIGive Mastra AI instant access to 19 tools to Change Password, Claim Keys, Create Room, and more

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

Ask AI about this MCP Server for Mastra AI

The Matrix/Element MCP Server for Mastra AI is a standout in the Communication Messaging category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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: {
      "matrixelement": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Matrix/Element Agent",
    instructions:
      "You help users interact with Matrix/Element " +
      "using 19 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Matrix/Element
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Matrix/Element MCP Server

Connect your Matrix account to any AI agent and take full control of your decentralized communications through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Matrix/Element tool infrastructure. Connect 19 tools through 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

  • Room Management — Create, join, knock, or leave rooms using simple commands like create_room and join_room.
  • Messaging & Events — Send messages or custom events to any room with transaction tracking via send_message.
  • State Synchronization — Use sync_client to fetch the latest state from the homeserver and stay updated on all conversations.
  • User Discovery — Search the global user directory using search_user_directory to find and connect with others.
  • Account Control — Manage your profile, change passwords, or handle account registration and deactivation.
  • Encryption & Keys — Handle cryptographic keys (upload_keys, query_keys) for secure, end-to-end encrypted communication.

The Matrix/Element MCP Server exposes 19 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 Matrix/Element tools available for Mastra AI

When Mastra AI connects to Matrix/Element through Vinkius, your AI agent gets direct access to every tool listed below — spanning matrix, element, chat, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

change

Change password on Matrix/Element

Change the account password

claim

Claim keys on Matrix/Element

Claim E2EE keys from the homeserver

create

Create room on Matrix/Element

Create a new Matrix room

deactivate

Deactivate account on Matrix/Element

Deactivate the current Matrix account

download

Download media on Matrix/Element

Download media from the homeserver

get

Get room state on Matrix/Element

Get state events for a room

join

Join room on Matrix/Element

Join a Matrix room by ID or alias

knock

Knock room on Matrix/Element

Knock on a Matrix room to request access

leave

Leave room on Matrix/Element

Leave a Matrix room

login

Login account on Matrix/Element

Log in to a Matrix account

logout

Logout account on Matrix/Element

Log out of the current Matrix account

query

Query keys on Matrix/Element

Query E2EE keys from the homeserver

register

Register account on Matrix/Element

Register a new Matrix account

search

Search user directory on Matrix/Element

Search the user directory

send

Send message on Matrix/Element

Send a message or event to a Matrix room

set

Set room state on Matrix/Element

Set state events for a room

sync

Sync client on Matrix/Element

Synchronize client state with the homeserver

upload

Upload keys on Matrix/Element

Upload E2EE keys to the homeserver

upload

Upload media on Matrix/Element

Upload media to the homeserver

Connect Matrix/Element to Mastra AI via MCP

Follow these steps to wire Matrix/Element into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 19 tools from Matrix/Element via MCP

Why Use Mastra AI with the Matrix/Element MCP Server

Mastra AI provides unique advantages when paired with Matrix/Element through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Matrix/Element 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 Matrix/Element 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

Matrix/Element + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Matrix/Element MCP Server delivers measurable value.

01

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

02

SaaS integrations: embed Matrix/Element 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 Matrix/Element on a cron and store results in your database automatically

04

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

Example Prompts for Matrix/Element in Mastra AI

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

01

"Sync my Matrix client to see if I have any new notifications."

02

"Send a message to room !abc:matrix.org saying 'The deployment is complete'."

03

"Search the user directory for 'bob'."

Troubleshooting Matrix/Element MCP Server with Mastra AI

Common issues when connecting Matrix/Element to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Matrix/Element + Mastra AI FAQ

Common questions about integrating Matrix/Element 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.

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