FirstQuadrant MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Add To Campaign, Create Contact, Enrich Contact Ai, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FirstQuadrant 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 FirstQuadrant app connector for LlamaIndex is a standout in the Artificial Intelligence category — giving your AI agent 8 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 FirstQuadrant. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in FirstQuadrant?"
)
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 FirstQuadrant MCP Server
Connect your FirstQuadrant account to any AI agent and take full control of your B2B sales pipeline and contact enrichment workflows through natural conversation.
LlamaIndex agents combine FirstQuadrant tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Lead Orchestration — List and manage your complete database of leads and contacts, including retrieving detailed metadata and performing search lookups programmatically
- AI Enrichment — Trigger autonomous AI workflows to gather deep context about a lead from external sources and update contact profiles automatically
- Campaign Management — Access available sales sequences and enroll contacts into personalized email campaigns directly through your agent
- Schema Intelligence — Explore and manage your custom property schema to ensure all sales data is perfectly structured for AI analysis
- Activity Monitoring — Monitor the complete log of sales activities, including emails, calls, and AI-driven tasks in real-time
The FirstQuadrant MCP Server exposes 8 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 8 FirstQuadrant tools available for LlamaIndex
When LlamaIndex connects to FirstQuadrant through Vinkius, your AI agent gets direct access to every tool listed below — spanning outbound-sales, lead-enrichment, prospecting, 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 contact to a campaign
Create a new lead/contact
Trigger AI enrichment for a contact
Get contact profile details
List sales activities
List sales campaigns/sequences
Supports advanced filtering by email or created date. List FirstQuadrant contacts
List custom properties schema
Connect FirstQuadrant to LlamaIndex via MCP
Follow these steps to wire FirstQuadrant 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 FirstQuadrant MCP Server
LlamaIndex provides unique advantages when paired with FirstQuadrant through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FirstQuadrant tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FirstQuadrant tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FirstQuadrant, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FirstQuadrant tools were called, what data was returned, and how it influenced the final answer
FirstQuadrant + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FirstQuadrant MCP Server delivers measurable value.
Hybrid search: combine FirstQuadrant real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FirstQuadrant 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 FirstQuadrant for fresh data
Analytical workflows: chain FirstQuadrant queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for FirstQuadrant in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FirstQuadrant immediately.
"List all qualified leads from FirstQuadrant."
"Enrich the contact with email 'ceo@acme.com'."
"Add contact '101' to the 'Discovery Sequence'."
Troubleshooting FirstQuadrant MCP Server with LlamaIndex
Common issues when connecting FirstQuadrant to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFirstQuadrant + LlamaIndex FAQ
Common questions about integrating FirstQuadrant MCP Server with LlamaIndex.