Integrate Tettra with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate qa question on Tettra
Posts a new question in the Tettra Q&A system
Create wiki page on Tettra
Provide title, content, and category ID. Creates a new wiki page in a specific category
Get category details on Tettra
Retrieves details for a specific Tettra category
Get page content on Tettra
Returns title and Markdown/HTML body. Retrieves the full content and metadata of a specific Tettra page
List categories on Tettra
Lists all top-level categories in the Tettra wiki
List pages in category on Tettra
Lists all wiki pages within a specific category
List qa questions on Tettra
Lists all questions posted in the Tettra Q&A system
List subcategories on Tettra
Lists all subcategories under a specific parent category
Search pages on Tettra
Returns up to 5 matching pages. Full-text search across all Tettra wiki pages
Suggest new page on Tettra
Suggests a new wiki page to the team
Update wiki page on Tettra
Provide the page ID and the new fields. Updates the title or content of an existing Tettra page
Verify wiki page on Tettra
Marks a Tettra page as verified and up-to-date
Security & Code Integrity Audit
Every tool in the Tettra MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Supported Use Cases for Tettra
Integrate Tettra to provide your custom AI agents with direct read and write access to the capabilities listed below.
Mastering wiki with Agents
The Tettra server exposes documented endpoints for wiki. This allows ChatGPT and Cursor to interact with brain trust APIs seamlessly.
Cursor Copilot for internal documentation
Integrate the Tettra server to handle internal documentation requests natively. It provides the schemas required for ChatGPT and Cursor to manage brain trust data.
Tettra. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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