6sense MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 6sense as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 6sense. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in 6sense?"
)
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 6sense MCP Server
Connect your 6sense enterprise account to your AI agent to unlock deep account-based marketing (ABM) insights. From identifying anonymous website traffic to scoring account intent and buying stages, your agent manages B2B intelligence through natural conversation.
LlamaIndex agents combine 6sense tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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
- Company Identification — Identify anonymous companies visiting your website via IP address analysis
- Data Enrichment — Retrieve detailed firmographics and technographics for any account or email address
- Intent Scoring — Access AI-driven intent scores (0-100) to prioritize high-value accounts
- Buying Stages — Monitor journey stages (Target, Awareness, Consideration, Decision, Purchase) for your target accounts
- Segment Membership — Check which marketing segments an account belongs to for better personalization
The 6sense MCP Server exposes 4 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 6sense to LlamaIndex via MCP
Follow these steps to integrate the 6sense 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 4 tools from 6sense
Why Use LlamaIndex with the 6sense MCP Server
LlamaIndex provides unique advantages when paired with 6sense through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine 6sense tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain 6sense tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query 6sense, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what 6sense tools were called, what data was returned, and how it influenced the final answer
6sense + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the 6sense MCP Server delivers measurable value.
Hybrid search: combine 6sense real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query 6sense 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 6sense for fresh data
Analytical workflows: chain 6sense queries with LlamaIndex's data connectors to build multi-source analytical reports
6sense MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect 6sense to LlamaIndex via MCP:
enrich_company
g. microsoft.com). Enrich firmographics and technographics for a domain
enrich_person
Enrich profile information for an email address
identify_company
Identify a company via visitor IP address
list_segments
List marketing segments for a given company
Example Prompts for 6sense in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with 6sense immediately.
"Identify the company for this IP address: 8.8.8.8"
"Enrich the company data for 'tesla.com'."
"Check which 6sense segments 'microsoft.com' belongs to."
Troubleshooting 6sense MCP Server with LlamaIndex
Common issues when connecting 6sense to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcp6sense + LlamaIndex FAQ
Common questions about integrating 6sense MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect 6sense with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 6sense to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.