Cognita (RAG Framework) MCP Server for Cursor 7 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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The modern way to manage MCP Servers — no config files, no terminal commands. Install Cognita (RAG Framework) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"cognita-rag-framework": {
"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 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.
Cursor's Agent mode turns Cognita (RAG Framework) into an in-editor superpower. Ask Cursor to generate code using live data from Cognita (RAG Framework) and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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
The Cognita (RAG Framework) MCP Server exposes 7 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 Cognita (RAG Framework) to Cursor via MCP
Follow these steps to integrate the Cognita (RAG Framework) 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 Cognita (RAG Framework)
Open Agent mode in chat and ask: "Using Cognita (RAG Framework), help me...". 7 tools available
Why Use Cursor with the Cognita (RAG Framework) MCP Server
Cursor AI Code Editor provides unique advantages when paired with Cognita (RAG Framework) 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
Cognita (RAG Framework) + Cursor Use Cases
Practical scenarios where Cursor combined with the Cognita (RAG Framework) 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
Cognita (RAG Framework) MCP Tools for Cursor (7)
These 7 tools become available when you connect Cognita (RAG Framework) to Cursor via MCP:
get_collection
Retrieve explicit Cloud logging tracing explicit Payload IDs
ingest_data
Provision a highly-available JSON Payload generating new Resource directories
list_collections
Identify bounded routing spaces inside the Headless Cognita RAG limit
list_data_sources
Perform structural extraction of properties driving active Buckets
list_models
Inspect deep internal arrays mitigating specific Picture constraints
rag_query
Identify precise active arrays spanning rented Transformation vectors
search_chunks
Enumerate explicitly attached structured rules exporting active Presets
Example Prompts for Cognita (RAG Framework) in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Cognita (RAG Framework) immediately.
"List all RAG collections in Cognita"
"Query collection 'technical-docs' for: 'How do I configure OAuth in our API?'"
"Ingest data from source 'gh-repo-vinkius' into collection 'technical-docs'"
Troubleshooting Cognita (RAG Framework) MCP Server with Cursor
Common issues when connecting Cognita (RAG Framework) to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Cognita (RAG Framework) + Cursor FAQ
Common questions about integrating Cognita (RAG Framework) 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 Cognita (RAG Framework) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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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 Cognita (RAG Framework) to Cursor
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.