Can I check the status of a specific presentation using the agent?

Yes! Use the `list_presentations` tool. Your agent will fetch all sessions, allowing you to see if a presentation is 'Approved', 'Pending', or in another state in the Harvester.

How do I list all the speakers for my conference?

Simply ask the agent to `list_presenters`. It will retrieve the list of all speakers registered for your event in Cadmium, including their names and unique IDs.

Does the integration allow accessing presentation handouts?

Yes. Use the `list_presentation_assets` tool with the Presentation ID. It will retrieve all the associated files, including handouts, slides, and other media uploaded by the speaker.

Cadmium Harvester MCP Server for LangChain 7 tools — connect in under 2 minutes

Name: Cadmium Harvester
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "cadmium-harvester": {
            "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 Cadmium Harvester, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 Cadmium Harvester MCP Server

Connect your Cadmium Education Harvester account to any AI agent and orchestrate your event content management, speaker coordination, and presentation tracking through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Cadmium Harvester through native MCP adapters. Connect 7 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

Presentation Oversight — List all presentations for an event and retrieve detailed metadata, including titles, IDs, and statuses.
Speaker Management — List all presenters and retrieve detailed profiles, including contact info and association with sessions.
Asset Tracking — List and access files, handouts, and presentation assets associated with individual sessions.
Event Coordination — Retrieve core event details and settings straight from your workspace.
Content Auditing — Monitor presentation counts and update information to ensure your event schedule is accurate.
Data Deep Dives — Get detailed data for specific presenter or presentation IDs using natural language.

The Cadmium Harvester MCP Server exposes 7 tools through the Vinkius. Connect it to LangChain 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 Cadmium Harvester to LangChain via MCP

Follow these steps to integrate the Cadmium Harvester MCP Server with LangChain.

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 7 tools from Cadmium Harvester via MCP

Why Use LangChain with the Cadmium Harvester MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Cadmium Harvester 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 Cadmium Harvester queries for multi-turn workflows

Cadmium Harvester + LangChain Use Cases

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

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

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

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

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

Cadmium Harvester MCP Tools for LangChain (7)

These 7 tools become available when you connect Cadmium Harvester to LangChain via MCP:

get_account_info

Retrieve core account information

get_event_details

Retrieve core event information

get_presentation_count

Get total number of presentations

get_presenter_details

Get details of a specific presenter

list_presentation_assets

List files and assets associated with a presentation

list_presentations

List all presentations for the event

list_presenters

List all presenters/speakers for the event

Example Prompts for Cadmium Harvester in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Cadmium Harvester immediately.

"List all presentations for the current event in Cadmium."

"Show the profile for presenter with ID speaker_99283."

"List the assets associated with presentation pres_123."

Troubleshooting Cadmium Harvester MCP Server with LangChain

Common issues when connecting Cadmium Harvester to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cadmium Harvester + LangChain FAQ

Common questions about integrating Cadmium Harvester 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.