Cognita (RAG Framework) MCP Server
Manage modular RAG via Cognita — list collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.
Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use
…and any MCP-compatible client


















Cognita MCP Server: see your AI Agent in action
Built-in capabilities (7)
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
What this connector unlocks
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
1. Subscribe to this server
2. Enter your Cognita Base URL and API Key (if required by your TrueFoundry or self-hosted setup)
3. 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
Frequently asked questions
Give your AI agents the power of Cognita
Access Cognita and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
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