Adversus MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Add Contact To Campaign, Get Campaign Details, List Account Users, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Adversus 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 Adversus app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 7 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 Adversus. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Adversus?"
)
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 Adversus MCP Server
Connect your Adversus account to any AI agent and take full control of your outbound sales operations, telemarketing, and CRM orchestration through natural conversation.
LlamaIndex agents combine Adversus 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
- Campaign Orchestration — List all telemarketing and outreach campaigns programmatically, retrieving detailed status, high-fidelity metadata, and performance metrics in real-time
- Lead Execution Intelligence — Programmatically add new contacts and leads to specific campaigns to coordinate your automated dialer and outreach strategy
- Contact Database Management — Access complete directories of leads and contacts assigned to campaigns, retrieving high-fidelity profile metadata and relationship history
- Project & Team Visibility — Access configured CRM projects and associated campaigns to maintain a perfectly coordinated sales pipeline
- Operational Monitoring — Access high-fidelity metadata for account agents and verify API connectivity directly through your agent for instant operational reporting
The Adversus 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.
All 7 Adversus tools available for LlamaIndex
When LlamaIndex connects to Adversus through Vinkius, your AI agent gets direct access to every tool listed below — spanning dialer, telemarketing, outbound-sales, 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.
Add a new contact to a campaign
Get details for a specific campaign
List team users
List global leads
List contacts in a campaign
List Adversus campaigns
List projects
Connect Adversus to LlamaIndex via MCP
Follow these steps to wire Adversus 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 Adversus MCP Server
LlamaIndex provides unique advantages when paired with Adversus through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Adversus tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Adversus tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Adversus, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Adversus tools were called, what data was returned, and how it influenced the final answer
Adversus + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Adversus MCP Server delivers measurable value.
Hybrid search: combine Adversus real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Adversus 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 Adversus for fresh data
Analytical workflows: chain Adversus queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Adversus in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Adversus immediately.
"List all active campaigns and their performance in Adversus."
"Add 'John Doe' (+15550123) to the 'New Business' campaign (ID: 'camp_456')."
"Show the last 5 leads captured across all my campaigns."
Troubleshooting Adversus MCP Server with LlamaIndex
Common issues when connecting Adversus to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdversus + LlamaIndex FAQ
Common questions about integrating Adversus MCP Server with LlamaIndex.