Clearbit (HubSpot) MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clearbit (HubSpot) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Clearbit (HubSpot). "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Clearbit (HubSpot)?"
)
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 Clearbit (HubSpot) MCP Server
Connect your Clearbit (HubSpot) account to any AI agent and take full control of your B2B intelligence through natural conversation. Streamline how you research prospects and companies natively.
LlamaIndex agents combine Clearbit (HubSpot) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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
- Combined Enrichment — Enrich both person and company data simultaneously using a single email address natively
- Person Intelligence — Access detailed professional information including job titles and social profiles flawlessly
- Company Logistics — Retrieve firmographic data such as industry, size, and location using domain names securely
- Discovery Logistics — Search for new companies based on specific criteria like technology stack or revenue flawlessly
- Autocomplete Intelligence — Suggest company names and domains based on partial queries flawlessly
- Account Visibility — Retrieve core account and quota information directly within your workspace
The Clearbit (HubSpot) 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.
How to Connect Clearbit (HubSpot) to LlamaIndex via MCP
Follow these steps to integrate the Clearbit (HubSpot) 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 8 tools from Clearbit (HubSpot)
Why Use LlamaIndex with the Clearbit (HubSpot) MCP Server
LlamaIndex provides unique advantages when paired with Clearbit (HubSpot) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clearbit (HubSpot) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clearbit (HubSpot) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clearbit (HubSpot), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clearbit (HubSpot) tools were called, what data was returned, and how it influenced the final answer
Clearbit (HubSpot) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clearbit (HubSpot) MCP Server delivers measurable value.
Hybrid search: combine Clearbit (HubSpot) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clearbit (HubSpot) 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 Clearbit (HubSpot) for fresh data
Analytical workflows: chain Clearbit (HubSpot) queries with LlamaIndex's data connectors to build multi-source analytical reports
Clearbit (HubSpot) MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Clearbit (HubSpot) to LlamaIndex via MCP:
autocomplete_company
Autocomplete company
find_company
Find company by domain
find_person
Find person by email
find_person_and_company
Find person & company
find_risk
Calculate risk
get_prospects
Get prospects
get_watchlist
Get watchlist companies
reveal_ip
Reveal IP address
Example Prompts for Clearbit (HubSpot) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clearbit (HubSpot) immediately.
"Enrich this email address: alex@clearbit.com"
"Show me firmographic data for 'segment.com'."
"Find SaaS companies in California with 100-500 employees."
Troubleshooting Clearbit (HubSpot) MCP Server with LlamaIndex
Common issues when connecting Clearbit (HubSpot) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClearbit (HubSpot) + LlamaIndex FAQ
Common questions about integrating Clearbit (HubSpot) 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 Clearbit (HubSpot) 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.
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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 Clearbit (HubSpot) to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.