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 LlamaIndex 7 tools — connect in under 2 minutes

Name: Cadmium Harvester
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

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

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 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 Cadmium Harvester. "
            "You have 7 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Cadmium Harvester tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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

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 LlamaIndex 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 LlamaIndex via MCP

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

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 7 tools from Cadmium Harvester

Why Use LlamaIndex with the Cadmium Harvester MCP Server

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

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

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

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

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

Cadmium Harvester + LlamaIndex Use Cases

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

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

Data enrichment: query Cadmium Harvester 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 Cadmium Harvester for fresh data

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

Cadmium Harvester MCP Tools for LlamaIndex (7)

These 7 tools become available when you connect Cadmium Harvester to LlamaIndex 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 LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cadmium Harvester + LlamaIndex FAQ

Common questions about integrating Cadmium Harvester 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 Cadmium Harvester tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.