GTM Data Infrastructure for AI Agents
With our Public API and MCP Server (Model Context Protocol), you can access HG Insights intelligence programmatically and embed it directly into your own tools, workflows, or AI copilots.
Overview
HG Insights has developed an MCP (model context protocol) server that allows you to access all your prospects information directly from your favorite AI tools (Claude, chatGPT, etc.) in just a prompt. When connected, your AI tool can research in your own customer data and signals HG Insights has aggregated.
Whether you’re enriching contacts in real time, generating account briefs on demand, or triggering workflows from GTM signals, you now have the building blocks to do it all.
For RevOps / Developers
HG Insights MCP bridges the gap between your data and your AI agents. If you are building internal agents, Sales Copilot or other assistants, use our MCP server to give them the context of your prospects data, without messing around with APIs and ETLs.
Customer Challenges
Difficulty accessing market intelligence data directly by 3rd-party (or internal) tools
Back-ending LLMs and Agents with high-quality market and customer data
Adopting AI agents that draw on first-rate data
Who It's For
Build agents that actually know your customers
Most AI agents can write an email — but only yours will know what actually matters to your prospect. Give your AI the context to be relevant.
Faster AI prototyping
Focus on workflows, not data stitching. One MCP to give access to all your signals. Instead of duct-taping Salesforce, ZoomInfo, Hubspot, and your warehouse, HG Insights MCP gives you a unified, governed API that your Claude, Cursor, or Dust agent can call directly.
Plug & Play with your AI Agents
No engineering required. With MCP, you don’t need to ask engineering to integrate APIs, write ETLs, sync databases, or manage auth across multiple tools.
Key Features
The HG Insights API allows you to:
- Look up contacts and accounts by email, domain, or CRM ID
- Fetch enrichment and scoring data programmatically
- Trigger contact discovery, job insights, or brief generation
- Ingest your own first-party data to leverage in Scoring and Sales Copilot
- Build additional AI agents using HG Insights MCP Server
- Call HG Insights endpoints directly or use the MCP layer to integrate with tools like Dust, Relevance AI, Zapier, Make, and more
Unique Advantages
Seamless AI Agent Integration (Context + Action Layer)
The HG Insights MCP server is designed to bridge your GTM data (prospect intelligence) with AI agents (e.g., Claude, ChatGPT, Cursor). This means your internal AI copilots or agents don’t need to call raw REST endpoints or build bespoke integrations; they can query HG Insights in a way that feels native and conversational, and then act on that intelligence (e.g., generate account briefs, prioritize outreach, trigger workflows).
Real-Time, Contextual Prospect Intelligence
HG Insights core scoring capabilities (Fit, Likelihood-to-Buy, Lead Grade) are exposed via MCP, meaning an AI agent can dynamically fetch rich, up-to-date context (account/contact profile, engagement signals, top activation signals) rather than just static data.
The “Account & Contact Intelligence” that HG Insights provides includes behavioral engagement (web visits, product usage, content engagement), technographic and firmographic profile, and “top signals” that explain why a lead/account is scoring a certain way. Because these data sources refresh frequently, agents using MCP have near-real-time signal access.
Composable and Scalable GTM Intelligence via No-Code / Low-Code
The MCP server allows for a broader agentic GTM ecosystem, combining HG’s Revenue Growth Intelligence (RGI) Fabric with predictive scoring + agent workflows.
The MCP server makes LLM models actionable via AI agents, enabling not just insight but activation. You can build automations or agent workflows (with tools like Make, or inside AI copilots) that react to HG Insights-generated intelligence (e.g., someone’s fit is “very good” + engagement is “very high”) and trigger downstream GTM actions (draft email, add to sequence, assign to rep).
How It Works
When the HG Insights MCP is connected, your AI tool can research within your own customer data as well as with signals HG Insights has aggregated. Whether you’re enriching contacts in real time, generating account briefs on demand, or triggering workflows from GTM signals, you now have the building blocks.
Your AI agent asks a question
HG Insights MCP fetches real-time intelligence from all your integrations
Firmographics, engagement data, top users, and scores — all connected to HG Insights RGI Data Fabric
Your agent responds with full GTM context
Fully informed with scores, signals, and summaries — ready to generate outreach, create summaries, or recommend actions.
Ready to Power Your AI Agents?
Build the data foundation that enables intelligent, automated GTM
Related Use Cases
Data Enrichment for GTM Precision
Enhance your GTM data with comprehensive technology intelligence and firmographics
AI-Driven Sales Guidance and Engagement
Empower sales teams with AI-powered insights and next-best-action recommendations
Signal-Based Account Prioritization
Act on real-time buying signals to engage accounts at the perfect moment