Why do I get an error when providing my token?

Tettra's API keys are exclusively available to workspaces on their **Scaling** or **Professional** subscription tiers. If your team operates on a free or basic plan, the API credentials menu will not be accessible and requests will be blocked.

Can the AI rewrite existing company wiki articles?

Yes. Using the `update_wiki_page` function, the AI can overwrite existing body content and titles. It adopts your user profile's access permissions, meaning it can only update pages you personally have edit rights for in the Tettra UI.

Where do I track down my Tettra Team ID?

Your Team ID is the slug prefix used in your Tettra domain. For example, if you access your wiki primarily through `https://app.tettra.co/teams/acme-corp`, your Team ID is exactly `acme-corp`.

Tettra MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Tettra
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tettra as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="tettra_agent",
    instruction=(
        "You help users interact with Tettra "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Tettra as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Tettra MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Tettra via MCP

Why Use Google ADK with the Tettra MCP Server

Google ADK provides unique advantages when paired with Tettra through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Tettra

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Tettra tools with BigQuery, Vertex AI, and Cloud Functions

Tettra + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Tettra MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Tettra and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Tettra tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Tettra regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tettra

Tettra MCP Tools for Google ADK (12)

These 12 tools become available when you connect Tettra to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Tettra to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Tettra + Google ADK FAQ

Common questions about integrating Tettra MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.