CONSENSUS MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Demoboard, List Demoboards, List Demolytics, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CONSENSUS as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The CONSENSUS app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CONSENSUS. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in CONSENSUS?"
)
print(response)
asyncio.run(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 CONSENSUS MCP Server
Connect your Consensus account to any AI agent and take full control of your interactive video demo and buyer intelligence workflows through natural conversation.
LlamaIndex agents combine CONSENSUS tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- DemoBoard Orchestration — List and manage your active DemoBoards programmatically, retrieving detailed metadata about leads and stakeholder engagement
- Demolytics Intelligence — Access real-time analytics to understand which sections of your automated demos are being watched, skipped, or shared by prospects
- Invitation Tracking — Programmatically monitor sent demo invitations and track outreach performance to coordinate perfectly timed sales follow-ups
- Asset Discovery — Retrieve a complete directory of all available interactive demos and assets in your library to maintain high-fidelity sales enablement
- Team Visibility — Access directories of account users and roles to maintain an organized sales team structure and permission oversight
The CONSENSUS MCP Server exposes 6 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.
All 6 CONSENSUS tools available for LlamaIndex
When LlamaIndex connects to CONSENSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning demo-automation, buyer-intent, interactive-video, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get DemoBoard details
List all DemoBoards
List analytics for demos
List all available demos
List sent demo invitations
List all account users
Connect CONSENSUS to LlamaIndex via MCP
Follow these steps to wire CONSENSUS into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the CONSENSUS MCP Server
LlamaIndex provides unique advantages when paired with CONSENSUS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CONSENSUS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CONSENSUS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CONSENSUS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CONSENSUS tools were called, what data was returned, and how it influenced the final answer
CONSENSUS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CONSENSUS MCP Server delivers measurable value.
Hybrid search: combine CONSENSUS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CONSENSUS 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 CONSENSUS for fresh data
Analytical workflows: chain CONSENSUS queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for CONSENSUS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CONSENSUS immediately.
"List all my active DemoBoards in Consensus."
"Show me the Demolytics summary for my latest demo."
"List all members of my sales team and their roles."
Troubleshooting CONSENSUS MCP Server with LlamaIndex
Common issues when connecting CONSENSUS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCONSENSUS + LlamaIndex FAQ
Common questions about integrating CONSENSUS MCP Server with LlamaIndex.