Cognita (RAG Framework) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cognita (RAG Framework) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"cognita-rag-framework": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Cognita (RAG Framework) Agent",
instructions:
"You help users interact with Cognita (RAG Framework) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Cognita (RAG Framework)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Cognita (RAG Framework) tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Cognita (RAG Framework) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Cognita (RAG Framework) via MCP
Why Use Mastra AI with the Cognita (RAG Framework) MCP Server
Mastra AI provides unique advantages when paired with Cognita (RAG Framework) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Cognita (RAG Framework) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Cognita (RAG Framework) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Cognita (RAG Framework) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Cognita (RAG Framework) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Cognita (RAG Framework), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Cognita (RAG Framework) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Cognita (RAG Framework) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Cognita (RAG Framework) tools alongside other MCP servers
Cognita (RAG Framework) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Cognita (RAG Framework) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Cognita (RAG Framework) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCognita (RAG Framework) + Mastra AI FAQ
Common questions about integrating Cognita (RAG Framework) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Cognita (RAG Framework) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Cognita (RAG Framework) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.