Explorium MCP offers a robust solution for organizations aiming to enrich their AI agents with live, actionable B2B data. Its plug-and-play design simplifies the often complex task of connecting multiple data sources, making it accessible for developers and GTM (go-to-market) teams alike.
The tool excels in delivering relevant and accurate business context, empowering AI applications to make smarter decisions without relying on static or outdated datasets.
Key Features
* Access to over 150 million company records and more than 800 million professional profiles worldwide.
* Provides firmographic, technographic, and compliance data to uncover decision-makers and outreach opportunities.
* Unified API and credit system that eliminates the need to manage multiple vendors or fragmented datasets.
* AI-native architecture built specifically for seamless integration with LLM agents, supporting frameworks like LangGraph and LangChain.
* Real-time data monitoring including live website updates and compliance signals, ensuring information is always current.
Pricing and Value
Explorium MCP offers a straightforward pricing model based on a unified credit system that covers access to all data endpoints. This approach removes the complexity of juggling multiple vendor contracts or confusing tiered pricing structures. While specific pricing details are not publicly disclosed, the value proposition lies in consolidating extensive B2B data into a single, easy-to-integrate platform, which can significantly reduce operational overhead and improve AI-driven decision-making efficiency.
Pros
* Comprehensive and up-to-date global B2B data coverage.
* Simple integration with existing AI frameworks and workflows.
* High-quality, traceable data with source attribution and auto-linking.
* Eliminates the need for managing multiple data vendors.
* Designed specifically to enhance AI agents rather than traditional dashboards.
Cons
* Pricing details are not fully transparent, which may require direct inquiry for budgeting.
* Potential learning curve for users unfamiliar with LLM integrations or API-based data tools.
* May be more suitable for B2B-focused teams, limiting appeal for other market segments.
Overall, Explorium MCP is ideal for businesses and developers seeking to supercharge their AI applications with live, actionable B2B intelligence. It is particularly well-suited for sales, marketing, and go-to-market teams looking to automate and optimize outreach and decision-making processes with reliable, real-time data.
Hey Product Hunt — I’m Ziv from Explorium.
Over the past 7 years, we’ve been building robust data aggregation and infrastructure tailored for go-to-market–focused AI teams — because AI is only as good as the data you feed it.
We believe the future is autonomous — where LLMs and AI agents aren’t limited by static inputs or rigid workflows. Instead, they should have access to every relevant data source — from up-to-date web data to rich B2B databases — and autonomously choose the right source, at the right moment, to drive decisions.
That vision led us to create Explorium MCP — a plug-and-play data engine that equips AI agents and applications with deep, up-to-date business insights from dozens of trusted sources. With a single API and unified credit system, you get everything you need — no more managing multiple vendors, fragmented datasets, or confusing pricing models. Our MCP turns any LLM into a GTM intelligence and decisioning engine.
To show what’s possible, we’ve also built a demo application that puts MCP to work — giving you a hands-on look at how LLM agents can leverage rich, up-to-date business data across multiple endpoints.
🛠️ What MCP can do:
• Connects LLMs to over 150M company records and 800M+ professional profiles
• Delivers firmographic and technographic insights
• Identifies decision-makers and outreach opportunities
• Monitors live website data and compliance signals
• Resolves and unifies entities across datasets
• …and more
⚡️ What makes it different:
• MCP includes 25+ purpose-built data endpoints for any go-to-market use case
• AI-native: built specifically for agents, not dashboards
• Modular and up-to-date: plug it into any agent with structured, traceable data
• High-quality responses: enriched with source attribution and auto-linking
• No stale or static datasets — just live, usable business context
🧩 How to use MCP:
• Integrate directly into your codebase using frameworks like LangGraph or LangChain
• Automate workflows with tools like N8N
• Embed natively in AI builders like Base44
We’d love to hear what you’re building with MCP — or what you’d like to see next.
We love building for your needs.
Ziv from Explorium 🚀
@zivnadil Cong on the launch Ziv! 7 years is crazy! Love to hear more on GTM!
@sophiaatdola Thank you Sophia! I appreciate the support.
The product has a great user experience and is also very simple. May I ask how you protect information data?
@hi_caicai Security and privacy are paramount at Explorium, especially given our work with numerous enterprise clients. We are proud to be certified in SOC 2, ISO 27001, and ISO 27701. We're happy to share more details upon request.
@divyansh_tiwari7Thanks so much for the feedback! We're excited you love the concept of simplifying B2B data access. We’re eager to see how businesses leverage this tool in creative ways. Stay tuned for some upcoming use case examples, and feel free to share your thoughts or ideas. We'd love to hear how you'd use it!
@divyansh_tiwari7 Agree! 🙌🏻
A great product @zivnadil, startups will definitely gonna like it.
@deepanshu_chittoria Thank you!
Hi@mahendra_rao
The focus of this specific MCP is on providing a wide range of GTM data signals from external sources rather than observability of data pipelines. The integration and ingestion of dozens of sources is already performed for you behind the scenes.
Game-changer for GTM teams - finally bridging the gap between powerful B2B data and conversational AI without complex integrations!
Great job @zivnadil , Omer and the team - glad to have been a small part of this with Supercorp. Good luck and let’s cook!
@zivnadil @nedomas
Thanks Domas! your help and support is very appreciate.
Cheers!