Tettra Connector for AI agents.
12 live capabilities
Access and manage your company wiki documentation directly from your workspace.
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Why people use Tettra
Tettra Wiki Knowledge Base Integration for Internal Docs
This Connector changes that by bringing the wiki to you. Your agent can pull the exact content you need into the chat window. You get the right answer immediately without the friction of switching tabs.
What Vinkius changes
You get a direct line into your company's internal documentation without leaving your AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
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.
- Real-world use case 02
Creating SOPs
An ops lead dictates a new refund process, and the agent uses create_wiki_page to publish it to the 'Support' category.
- Real-world use case 03
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A product manager asks the agent to check for outdated pages in 'Engineering,' and the agent uses list_pages_in_category to find them.
Complete set · 12capabilities
The complete Tettra capability set.
These are the exact actions your AI can choose when you ask it to work with Tettra.
01—04
4 capabilities in this set.
Part of 12 available through Tettra.
- 01 Capability
Search pages
Performs a full-text search across all Tettra wiki pages. This finds specific answers quickly.
- 02 Capability
Suggest new page
Suggests a new wiki page to your team. Use this to flag gaps in your current documentation.
- 03 Capability
Update wiki page
Updates the title or content of an existing Tettra page. This keeps your documentation accurate.
- 04 Capability
Verify wiki page
Marks a specific Tettra page as verified and up-to-date. This helps maintain trust in your documentation.
05—08
4 capabilities in this set.
Part of 12 available through Tettra.
- 05 Capability
Create wiki page
Creates a new wiki page in a specific category with a title and body. Use this to publish new guides instantly.
- 06 Capability
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.
- 07 Capability
Get category details
Retrieves specific details for a Tettra category. Use this to understand the structure of your wiki.
- 08 Capability
Get page content
Returns the full Markdown or HTML body of a specific page. This lets your agent read the entire guide.
09—12
4 capabilities in this set.
Part of 12 available through Tettra.
- 09 Capability
List categories
Lists all top-level categories in your Tettra wiki. This helps your agent understand the high-level organization.
- 10 Capability
List pages in category
Lists all wiki pages within a specific category. This is great for browsing related documentation.
- 11 Capability
List qa questions
Lists all questions currently posted in the Tettra Q&A system. This helps you see what the team is asking.
- 12 Capability
List subcategories
Lists all subcategories under a specific parent category. Use this to navigate deep into your documentation tree.
Set up in minutes
One URL. Then ask Tettra to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tettra from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tettra, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tettra for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tettra URL.
- Step 03
Save and start
Save the connection and enable Tettra in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tettra": {
"url": "https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tettra
Open Agent mode in chat and ask: "Using Tettra, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tettra": {
"url": "https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tettra
Ask Copilot: "Using Tettra, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tettra": {
"url": "https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tettra
Open Cascade and ask: "Using Tettra, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tettra": {
"url": "https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tettra
Ask Cline: "Using Tettra, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tettra --transport http "https://edge.vinkius.com/vk_preview_ySvkPjsqO7liAIbNOgjbAJoBvP8eYruaNtj3TqRm/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tettra
Ask Claude: "Using Tettra, show me...". 12 tools are ready
Where the request belongs
Work Tettra can move forward.
For the developer who's tired of hunting for API keys in a messy wiki or the ops manager who needs to turn a Slack thread into a formal SOP quickly.
Software Engineer
Look up internal architecture decisions or environment setup steps while coding in Cursor.
Operations Lead
Rapidly generate and publish standard operating procedures via AI dictation.
Product Manager
Verify outdated pages and suggest new articles to keep the knowledge base fresh.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSlab
Manage your team's knowledge base. query wiki articles, create new documentation, and explore topics directly using AI agents.
Guru
Manage enterprise knowledge cards, track collections, and search your wiki via AI agents with Guru.
Wiki.js
Manage your Wiki.js instance—create, search, and update documentation pages directly from your AI agent.
Mem AI (Knowledge Workspace)
Manage your knowledge base via Mem.ai. create notes, run AI semantic search, and organize collections.
Logseq (Knowledge Management)
Manage your knowledge base via Logseq. create pages, insert outliner blocks, and search across your local graph.
Glean
Search across all your company apps and docs with AI that understands your organization and surfaces the right answer instantly.
Bring your own AI
Change the model, client or framework. Keep Tettra connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tettra.
The practical details behind the request, access and result.
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 capabilities 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 capabilities. 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.
One connection away
Give your agent a direct line to Tettra.
Connect Tettra once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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