HG MCP Server
HG MCP Server is for go-to-market teams that want their AI agents and assistants grounded in trusted and governed verified company data, not public web guesses.
HG MCP Server is a product within the HG Insights Contextual Intelligence Platform that exposes the full Contextual Intelligence and more than 40 account and contact data tools over the Model Context Protocol. Technical go-to-market teams call HG MCP Server tools from Claude, ChatGPT, Copilot, or any MCP-compatible client to ground agent output in verified company signals.
Which problems does HG MCP Server solve?
Your agents give confident, wrong answers
Agents can’t see what their data is missing, so they fill gaps with plausible guesses. HG MCP Server grounds them in HG Fabric’s Contextual Intelligence, where every record connects to one company and every answer traces to its source.
Account research is slow and inconsistent
Manual account research typically takes an hour, and the results are hard to trust without verified sources. HG MCP Server returns a full account brief in about 90 seconds, with every fact cited to its source.
Skip the expensive and time consuming data project
Sourcing, connecting, cleaning, and governing GTM data in-house is a very long, expensive data project. HG MCP Server connects your agents to HG Fabric and the HG Contextual Intelligence, where the data is already centralized, connected, trusted and governed.
What does HG MCP Server include?
Offering type: Product within the HG Insights Contextual Intelligence Platform, available standalone
Primary users: GTM engineers and developers, data and technical GTM teams who build their own AI agents and agentic workflows
Jobs performed: Account research, competitive displacement, market sizing, contact discovery, ABM optimization, account scoring, whitespace analysis and more
Data foundation: HG Fabric intelligence such as firmographics with hierarchy, technographics, IT spend, multidimensional buyer intent, buying center, contacts, funding, mergers and acquisitions, and more, plus Customer Voice, powered by TrustRadius
Tool surface: More than 40 data tools, 10 curated multi-step workflows, and runtime reference resources such as the data catalog
Access channels: The HG MCP App, any MCP-compatible AI client, Slack and Microsoft Teams, and direct REST and MCP endpoints
Deployment: Cloud, hosted by HG Insights. No warehouse build, no schema mapping, and no data pipeline required
Security posture: Input sanitization with prompt injection detection, sensitive data redaction before storage, structured output enforcement, and full audit trails on every run
What does HG MCP Server do?
Data access
Query HG Fabric for firmographics, technographics, IT, AI and cloud spend, buyer intent, contacts, outsourced IT contracts, and install history, plus SEC filings, government contracts, and live web search. Your agent picks the tools each question needs, and every answer traces back to its source.
Curated workflows
Ten multi-step workflows turn a single call into a finished document: account research briefs, competitive battlecards, ICP refinement, market sizing, and more. Each one runs the same steps that an analyst would run by hand, so your team gets the answer without knowing which signal to pull first.
Multi-signal sessions
In a single session, combine HG signals with your CRM, warehouse, and other MCP sources. Your agent can check an account’s spend and intent against your pipeline in one conversation, without exports or switching tools.
Works where you already build
Built on the open MCP standard, so it runs in the AI platforms your team already uses, including Anthropic, OpenAI, Microsoft, and Amazon Quick, alongside your other data sources.
Why does HG MCP Server matter?
Every answer traces back to the data that produced it. When someone asks why an account was flagged, there’s a clear answer, not a black box.
HG MCP Server gives your agents direct access to HG Contextual Intelligence: installs, spend, intent, and contacts connected to one corporate entity, with 15+ years of history, for a complete, connected, trusted picture of market, account, and buyer.
HG MCP Server is available in Claude, ChatGPT, Microsoft Copilot, and Amazon Quick, without a new app or an integration project.
Connect your own agents and write your own workflows, or work with HG’s forward deployed engineers to build and tune them around your systems and sales plays. Either way, you own the workflows.
Available through AWS Marketplace, so eligible customers can apply existing cloud commitments instead of opening a new budget line.
Sales, marketing, RevOps, CS, and every agent work from the same data and the same ICP and scoring definitions, configured once.
Access is authenticated and logged, and every agent run leaves an audit trail. Inputs are screened for prompt injection, sensitive data is redacted, and SOC 2 Type II, GDPR, and CCPA apply.
How does HG MCP Server work?
Connect through the HG MCP App, any MCP-compatible AI client, Slack, Microsoft Teams, or direct API. No separate application to log into.
Turning it on takes an API key, not a data engineering project. There’s no warehouse to build, no schema to map, and no pipeline to maintain.
HG MCP Server extends HG intelligence into leading AI environments, including Amazon Quick, Claude, ChatGPT and Copilot.
Claude, ChatGPT, Cursor, Windsurf, Salesforce Agentforce, Microsoft Copilot, Snowflake Cortex, LangChain, and CrewAI all connect through the same open standard, so switching AI tools later doesn’t mean rebuilding the integration.
Each response resolves to the specific data record that produced it, so the output is checkable rather than just plausible.
What data points does HG MCP Server access?
| Company coverage | Firmographics, hierarchy, and install base across roughly 70 million companies |
|---|---|
| Hierarchy | Four-tier parent-subsidiary corporate structure, so a query resolves to the right entity in a complex organization |
| Technology signals | Product installs, intensity scores, and adoption trend across the tracked product catalog |
| Buying Center | Decision maker and influencer roles by department and location, drawn from technographic, firmographic, and intent signals |
| Buyer intent | HG Multidimensional Buyer Intent across more than 20,000 topics, classified as expansion, displacement, complementary, or white space |
| Spend | IT spend across more than 140 categories, plus AWS, Azure, and GCP cloud spend |
| Contacts | Contact search and enrichment returning verified email, title, seniority, and direct dial |
| AI maturity and spend | AI adoption stage and AI-specific technology spend at the company level |
| Customer Voice | Verified product reviews and buyer intent, powered by TrustRadius |
| Refresh | Signals refresh regularly to stay current. |
Who is HG MCP Server for?
Built for GTM and data engineers, developers, AI operations and anyone that is building agents and agentic applications and needs a seamless way of accessing trusted and governed intelligence with context.
HG MCP Server powers real-time account exploration and the workflows built on top of it, competitive takeout, whitespace analysis, and predictive account scoring among them.
Directly via the HG app, inside Claude, ChatGPT, Amazon Quick or any agent, client or application that supports MCP.
Which use cases are supported by HG MCP Server?
HG MCP Server returns competitor install base, install age, contract timing, and displacement-classified intent in a single call, saving time for the rep who wants to run a takeout campaign.
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Filter the companies by technology, spend, geography, and size by excluding the existing CRM accounts. Get your real expansion targets which are the named accounts no one has touched yet against verified installs.
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HG MCP Server provides the signal inputs a scoring model needs, including install age, spend trajectory, Functional Area Intelligence, and intent data, so you can build and test a scoring model against real records rather than sample data.
Learn MoreWhich products work with HG MCP Server?
Customer-Built Systems
HG MCP Server follows the open Model Context Protocol standard, so any MCP-compatible agent framework including customer-built agents on LangChain, CrewAI, or a custom platform can call HG’s data tools or HG Agents directly. Artifacts can also be delivered to Slack, Microsoft Teams, or pulled into any application through the API.
HG Fabric
HG Fabric is the data foundation beneath HG MCP Server, it is the same signals, delivered differently. Add Fabric to bring those signals into your warehouse in bulk for enrichment and modeling, while HG MCP Server still answers one-off account questions on demand.
HG Agents
HG Agents are pre-built asynchronous agents that will run ten or more data calls and return a formatted, cited artifact such as an account research brief or a buying committee map. Use them alongside HG MCP Server when you want a finished answer instead of a set of tools.
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