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Tettra MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tettra through 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: {
      "tettra": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Tettra Agent",
    instructions:
      "You help users interact with Tettra " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Tettra
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Tettra tool infrastructure. Connect 12 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

  • 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 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 Tettra to Mastra AI via MCP

Follow these steps to integrate the Tettra 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 12 tools from Tettra via MCP

Why Use Mastra AI with the Tettra MCP Server

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

01

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

Tettra + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Tettra 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 Tettra on a cron and store results in your database automatically

04

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

Tettra MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Tettra to Mastra AI via MCP:

01

create_qa_question

Posts a new question in the Tettra Q&A system

02

create_wiki_page

Provide title, content, and category ID. Creates a new wiki page in a specific category

03

get_category_details

Retrieves details for a specific Tettra category

04

get_page_content

Returns title and Markdown/HTML body. Retrieves the full content and metadata of a specific Tettra page

05

list_categories

Lists all top-level categories in the Tettra wiki

06

list_pages_in_category

Lists all wiki pages within a specific category

07

list_qa_questions

Lists all questions posted in the Tettra Q&A system

08

list_subcategories

Lists all subcategories under a specific parent category

09

search_pages

Returns up to 5 matching pages. Full-text search across all Tettra wiki pages

10

suggest_new_page

Suggests a new wiki page to the team

11

update_wiki_page

Provide the page ID and the new fields. Updates the title or content of an existing Tettra page

12

verify_wiki_page

Marks a Tettra page as verified and up-to-date

Example Prompts for Tettra in Mastra AI

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

01

"Search the wiki for 'Database Migration Checklist'."

02

"Create a new wiki page in the 'Support' category explaining how to handle refund requests."

03

"Mark page ID 883 as verified and up to date."

Troubleshooting Tettra MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Tettra + Mastra AI FAQ

Common questions about integrating Tettra 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 Tettra to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.