Tettra MCP Server for Cursor 12 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"tettra": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Tettra into an in-editor superpower. Ask Cursor to generate code using live data from Tettra and it fetches, processes, and writes — all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Tettra MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Tettra
Open Agent mode in chat and ask: "Using Tettra, help me..." — 12 tools available
Why Use Cursor with the Tettra MCP Server
Cursor AI Code Editor provides unique advantages when paired with Tettra through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Tettra + Cursor Use Cases
Practical scenarios where Cursor combined with the Tettra MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Tettra MCP Tools for Cursor (12)
These 12 tools become available when you connect Tettra to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Tettra to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Tettra + Cursor FAQ
Common questions about integrating Tettra MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Tettra with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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.
Connect Tettra to Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.