# Tettra MCP for AI Agents AI Agent Connect

> Tettra MCP connects your internal wiki to your AI agent. It lets you search company documentation, read technical guides, and draft new wiki pages without leaving your workspace. It turns your company's knowledge base into a searchable, actionable resource for your AI.

## Overview
- **Category:** brain-trust
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/ai-agent-connect
- **Tags:** wiki, internal-documentation, search, knowledge-base, team-collaboration, onboarding

## Description

Stop flipping between your code editor and your company's documentation. This Connector brings your Tettra knowledge base directly into your workflow, making it possible to query internal specs, onboarding guides, and team policies as if the AI already knew them. Instead of copy-pasting snippets into a chat window, your agent can pull the exact content you need. You can ask your agent to find a specific architecture decision or have it draft a new standard operating procedure based on your notes. It handles the heavy lifting of navigating categories and subcategories so you don't have to. Because Vinkius hosts this Connector, you can connect it to your preferred tools and get your team's brain trust available in one place. Whether you're verifying old pages or posting new questions to the team Q&A board, everything happens in the same window where you're already working. It's about making your company's documentation useful rather than just a place where files go to die. You get a direct line to the truth of your company's operations without the friction of manual navigation. This means you spend less time searching and more time actually shipping features or solving problems. Your documentation becomes an active participant in your work rather than a static pile of pages.

## Tools

### search_pages
Performs a full-text search across all Tettra wiki pages. This finds specific answers quickly.

### suggest_new_page
Suggests a new wiki page to your team. Use this to flag gaps in your current documentation.

### update_wiki_page
Updates the title or content of an existing Tettra page. This keeps your documentation accurate.

### verify_wiki_page
Marks a specific Tettra page as verified and up-to-date. This helps maintain trust in your documentation.

### create_wiki_page
Creates a new wiki page in a specific category with a title and body. Use this to publish new guides instantly.

### create_qa_question
Posts a new question to your team's internal Q&A board. This gets your questions in front of the right people.

### get_category_details
Retrieves specific details for a Tettra category. Use this to understand the structure of your wiki.

### get_page_content
Returns the full Markdown or HTML body of a specific page. This lets your agent read the entire guide.

### list_categories
Lists all top-level categories in your Tettra wiki. This helps your agent understand the high-level organization.

### list_pages_in_category
Lists all wiki pages within a specific category. This is great for browsing related documentation.

### list_qa_questions
Lists all questions currently posted in the Tettra Q&A system. This helps you see what the team is asking.

### list_subcategories
Lists all subcategories under a specific parent category. Use this to navigate deep into your documentation tree.

## Prompt Examples

**Prompt:** 
```
Find the internal guide for setting up the staging environment.
```

**Response:** 
```
I found a guide called **Staging Environment Setup** in the Engineering category. Would you like me to pull the full instructions for you?
```

**Prompt:** 
```
Create a new wiki page in the HR category about the new remote work policy.
```

**Response:** 
```
I've drafted and published the **Remote Work Policy** page in the HR category. It includes the new guidelines and contact info for HR.
```

**Prompt:** 
```
What are the most recent questions on the team Q&A board?
```

**Response:** 
```
Here are the latest questions from the Tettra Q&A board:

* How do I reset my local env?
* Where is the latest design spec?
* Who owns the billing service?
```

## Capabilities

### Search across all wiki pages
Your agent can find specific information across your entire knowledge base instantly.

### Read full wiki content
Your agent can pull the complete markdown or HTML body of any page into your chat.

### Draft and publish new pages
Command your agent to create and publish new wiki entries in specific categories.

### Browse wiki structure
Your agent can navigate through top-level categories and subcategories to find what you need.

### Manage team Q&A
Post new questions or list unanswered queries on your team's internal Q&A board.

### Verify documentation
Mark pages as verified to ensure your team is always looking at the most current information.

## Use Cases

### Finding API Specs
A dev asks for the 'Auth flow' and the agent uses search_pages to find the guide and get_page_content to show the steps.

### Creating SOPs
An ops lead dictates a new refund process, and the agent uses create_wiki_page to publish it to the 'Support' category.

### Auditing Docs
A product manager asks the agent to check for outdated pages in 'Engineering,' and the agent uses list_pages_in_category to find them.

### Team Q&A
A new hire asks a question about the build system, and the agent uses create_qa_question to post it to the team board.

## Benefits

- No more tab switching. Use search_pages and get_page_content to pull info into your chat without leaving your IDE.
- Faster documentation. Use create_wiki_page to turn a conversation into a published guide in seconds.
- Better Q&A. Use create_qa_question to put your queries on the team board without leaving your current task.
- Organized navigation. Use list_categories and list_subcategories to let your agent browse your wiki structure.
- Accurate info. Use verify_wiki_page and update_wiki_page to keep your knowledge base current and trustworthy.

## How It Works

The bottom line is you get a direct line into your company's internal documentation without leaving your AI client.

1. Subscribe to the Tettra MCP on Vinkius.
2. Enter your Tettra Team ID and API Key in your client configuration.
3. Ask your agent to find, read, or create wiki content directly in your chat.

## Frequently Asked Questions

**What does the Tettra MCP do?**
It connects your company's Tettra wiki to your AI agent. This lets your agent search, read, and even create documentation for you.

**Can my AI agent write new wiki pages?**
Yes. You can ask your agent to draft a new guide or update an existing one, and it will use the Tettra tools to publish it directly.

**Does this Connector work with my current IDE?**
It works with any MCP-compatible client, including Cursor and VS Code, so you can access your wiki while you code.

**How do I keep my documentation up to date?**
You can ask your agent to verify pages or update content using the Tettra tools. This helps keep your knowledge base accurate without manual editing.

**Can I search for specific technical specs?**
Yes. The Connector allows your agent to perform full-text searches across all your Tettra pages to find exactly what you need.

**Is this for private company data?**
Yes. This Connector connects to your specific Tettra Team ID, meaning your agent only sees the internal documentation your company has set up.

**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`.