Bring Rag Framework
to VS Code Copilot
Create your Vinkius account to connect Cognita (RAG Framework) to VS Code Copilot and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Cognita (RAG Framework) MCP Server?
Connect your Cognita (TrueFoundry) instance to any AI agent and take full control of your modular RAG workflows through natural conversation.
What you can do
- Knowledge Collections — List and audit RAG collections to inspect embedding configurations, token lengths, and parser details
- Data Ingestion — Force sync remote files from SQL, Cloud Storage, or APIs into your vector space to update your knowledge base
- RAG Queries — Dispatch automated AI questions that query your vector store and synthesize accurate answers from stored context
- Chunk Auditing — Perform lexical or semantic searches to pull raw document chunks and verify precise text segments
- Model Registry — Enumerate available LLMs and embedding models registered inside your modular Cognita installation
- DataSource Management — List all connected data sources to verify which external data is mapped into your AI workflows
How it works
- Subscribe to this server
- Enter your Cognita Base URL and API Key (if required by your TrueFoundry or self-hosted setup)
- Start managing your RAG pipelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Engineers — test and debug RAG queries and chunk retrieval logic without writing Python scripts
- Data Scientists — monitor ingestion pipelines and verify document chunking consistency across collections
- Product Teams — quickly audit what knowledge is being fed to AI agents during the prototyping phase
- DevOps Teams — monitor Cognita model registries and ensure that all LLM endpoints are active and reachable
Built-in capabilities (7)
Retrieve explicit Cloud logging tracing explicit Payload IDs
Provision a highly-available JSON Payload generating new Resource directories
Identify bounded routing spaces inside the Headless Cognita RAG limit
Perform structural extraction of properties driving active Buckets
Inspect deep internal arrays mitigating specific Picture constraints
Identify precise active arrays spanning rented Transformation vectors
Enumerate explicitly attached structured rules exporting active Presets
Why VS Code Copilot?
GitHub Copilot Agent mode brings Cognita (RAG Framework) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
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Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Cognita (RAG Framework) in VS Code Copilot
Why run Cognita (RAG Framework) with Vinkius?
The Cognita (RAG Framework) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Cognita (RAG Framework) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Cognita (RAG Framework) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Cognita (RAG Framework) to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Cognita (RAG Framework) for VS Code Copilot
Every request between VS Code Copilot and Cognita (RAG Framework) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent perform semantic RAG queries against my collections?
Yes. The 'rag_query' tool allows you to ask questions in natural language. The agent queries your vector store via Cognita and uses an LLM to synthesize a final answer based explicitly on the retrieved context.
How can I trigger a data ingestion pipeline through the agent?
Provide the collection name and the data source FQN (Fully Qualified Name). The 'ingest_data' tool will command the Cognita backend to start a sync, updating your RAG vector space with the latest remote documents.
Can I audit the raw document chunks before LLM generation?
Absolutely. Use the 'search_chunks' tool to perform vector searches that return raw text segments and metadata without LLM synthesis. This is the perfect way to verify that your retrieval logic is pulling the correct data boundaries.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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