@aria-agentworks/sales-intelligence-mcp
Provides integration with HubSpot CRM, enabling AI agents to search contacts, companies, and deals, create records, and generate pipeline analytics through the HubSpot API.
Sales Intelligence MCP Server
AI-powered sales intelligence, CRM integration, and outreach automation. Works with Claude, Grok, Gemini, GPT, Cursor, Windsurf, and any MCP-compatible client.
Overview
A comprehensive MCP server that transforms any AI assistant into a sales powerhouse. Research companies, find decision-makers, generate personalized outreach, sync with HubSpot CRM, and score leads — all through natural language.
Related MCP server: linkedin-prospection-mcp
Tools (12)
Tool | Tier | Description |
| Free | Enrich companies via Clearbit — revenue, employees, tech stack, social profiles |
| Free | Find decision-makers with email pattern suggestions |
| Free | Generate cold emails, follow-ups, LinkedIn requests, partnership proposals, and demo requests |
| Free | Score leads 0-100 with fit/engagement/timing breakdown (HOT/WARM/LUKEWARM/COLD) |
| Free | Multi-factor lead scoring with custom weights and detailed scoring matrix |
| Free | Generate A/B test variants for outreach campaigns with performance scoring |
| Pro | Search HubSpot CRM contacts, companies, and deals |
| Pro | Create contacts, companies, and deals in HubSpot CRM |
| Pro | Generate pipeline analytics and deal forecasts from HubSpot |
| All | Check your current usage, plan details, and remaining operations |
| All | List available outreach email templates with descriptions |
| All | View pricing plans and upgrade to Starter or Pro |
Resources
The server exposes 3 MCP resources for additional context:
Resource | Description |
| Complete documentation for all 12 tools |
| All available outreach templates with required fields |
| Current pricing plans, limits, and feature comparisons |
Prompts
3 built-in prompts for common sales workflows:
Prompt | Description |
| Research a company and generate a full intelligence brief |
| Score and qualify a lead with detailed analysis |
| Create a multi-touch outreach campaign sequence |
Pricing
Plan | Price | Operations/mo | Features |
Free | $0 | 50 | All 12 tools, company lookup, contact finder, outreach, lead scoring |
Starter | $29/mo | 1,000 | All Free + higher limits + priority support |
Pro | $49/mo | 5,000 | All Starter + HubSpot CRM sync + bulk operations |
Installation
Claude Desktop
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"sales-intelligence": {
"url": "https://mcp.ariaagent.agency/mcp"
}
}
}Gemini CLI
gemini mcp add sales-intelligence https://mcp.ariaagent.agency/mcpCursor / VS Code / Windsurf
Add MCP server URL in settings: https://mcp.ariaagent.agency/mcp
Cline / Continue
https://mcp.ariaagent.agency/mcpQuick Start
1. Get Your Free API Key
Sign up at mcp.ariaagent.agency for a free API key, or use any unique string — your first 50 operations are free every month.
2. Research a Company
"Look up stripe.com and tell me about their business"
3. Find Contacts
"Find the VP of Sales and Head of Marketing at HubSpot"
4. Generate Outreach
"Write a cold email to Sarah at HubSpot about our sales analytics tool"
5. Score a Lead
"Score this lead: Stripe, 8000 employees, fintech, raised $2B, uses AWS and React"
6. HubSpot CRM (Pro)
"Search for all deals over $10,000 in my HubSpot" "Create a new contact: John Doe, john@acme.com, VP of Sales at Acme" "Show me my pipeline report"
Architecture
Protocol: Model Context Protocol (MCP) via JSON-RPC
Transport: HTTP + Server-Sent Events (SSE)
SDK: Official @modelcontextprotocol/sdk
Data: Clearbit (company enrichment), HubSpot API (CRM)
Auth: SHA-256 hashed API keys
Payment: Razorpay with HMAC-SHA256 webhook verification
Email: Resend for automated delivery
Runtime: Node.js 20+ on Ubuntu
API Endpoints
Endpoint | Description |
| Server info and health check |
| MCP JSON-RPC endpoint (tools/list, tools/call) |
| Register for a free API key |
| View pricing plans |
| MCP manifest for auto-discovery |
License
MIT — aria-agentworks
This server cannot be deployed
Maintenance
Related MCP Connectors
LinkedIn outreach MCP server — 19 tools for AI agents to prospect, sequence, and manage contacts.
Autonomous AI sales: agents, signal-based prospecting, outreach, CRM — 149 tools.
Your agent needs a pipeline, not a list — the companies worth calling, the people who decide inside them, a way to reach those people, and the market evidence that the account is worth the call. **What you can ask for** • "Find Series-B fintech companies in Germany and the heads of marketing there, with emails." • "Enrich these 200 domains with headcount, funding and tech stack." • "Which of these accounts is hiring for roles that imply they need us?" • "How much traffic does this prospect get, and where does it come from?" • "Create the account and contact records and move this opportunity to the next stage." **How to use it** Point any MCP client at https://mcp.aisa.one/sales/mcp and sign in with OAuth — there is no key to create or paste. 79 tools: Apollo people and company search, enrichment, accounts, contacts, opportunities and stages, job postings, sequences and call activity; Similarweb traffic, audience, referrals, ad spend and competitors; plus creator discovery. **Why this rather than the source** Prospecting, enrichment, market sizing and the CRM writes behind one login instead of three. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Build the list here, then ask the same agent what those companies rank for or what is being said about them — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/apollo/mcp or https://mcp.aisa.one/similarweb/mcp for one of them alone; https://mcp.aisa.one/gtm/mcp adds the social side.
65+ AI tools as MCP: research, write, code, scrape, translate, RAG, agent memory, workflows
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