Knorish MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Knorish through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "knorish": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Knorish, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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.

LangChain's ecosystem of 500+ components combines seamlessly with Knorish through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Knorish via MCP

Why Use LangChain with the Knorish MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Knorish MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Knorish queries for multi-turn workflows

Knorish + LangChain Use Cases

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

RAG with live data: combine Knorish tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Knorish, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Knorish tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Knorish tool call, measure latency, and optimize your agent's performance

Example Prompts for Knorish in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Knorish + LangChain FAQ

Common questions about integrating Knorish MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.