Knorish MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create User, Create Webhook, Enroll User, and more

Name: Knorish
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Knorish as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Knorish MCP Server for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 12 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Knorish. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Knorish?"
    )
    print(response)

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Knorish MCP Server

Connect your Knorish account to any AI agent and manage your online course business through natural conversation.

LlamaIndex agents combine Knorish tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Course Management — List courses, inspect curricula, and track enrollment numbers
Student Tracking — Browse students with progress, completion rates, and engagement
Enrollment Monitoring — Track new enrollments, active students, and drop-offs
Content Browsing — Navigate course modules, lessons, and media content
Sales Analytics — Monitor revenue, orders, and conversion metrics
Certificate Management — Track certificate issuance and completion records

The Knorish MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Knorish tools available for LlamaIndex

When LlamaIndex connects to Knorish through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, lms, student-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create user on Knorish

Create a new user

create

Create webhook on Knorish

Create a new webhook

enroll

Enroll user on Knorish

Enroll a user in a course

get

Get account info on Knorish

Get academy account details

get

Get course on Knorish

Get course details

get

Get student progress on Knorish

Get student progress

get

Get user on Knorish

Get user details

list

List bundles on Knorish

List course bundles

list

List courses on Knorish

List all courses

list

List users on Knorish

List all users

list

List webhooks on Knorish

List webhooks

unenroll

Unenroll user on Knorish

Unenroll a user from a course

Connect Knorish to LlamaIndex via MCP

Follow these steps to wire Knorish into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Knorish

Why Use LlamaIndex with the Knorish MCP Server

LlamaIndex provides unique advantages when paired with Knorish through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Knorish tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Knorish tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Knorish, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Knorish tools were called, what data was returned, and how it influenced the final answer

Knorish + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Knorish MCP Server delivers measurable value.

Hybrid search: combine Knorish real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Knorish to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Knorish for fresh data

Analytical workflows: chain Knorish queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Knorish in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Knorish immediately.

"Show all courses with enrollment numbers and the top-performing course."

"Show student progress for the Digital Marketing course and recent enrollments."

"Show the curriculum of the Python course and sales for this month."

Troubleshooting Knorish MCP Server with LlamaIndex

Common issues when connecting Knorish to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Knorish + LlamaIndex FAQ

Common questions about integrating Knorish MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Knorish tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.