Coresignal MCP

Coresignal MCP

Fresh Public Web Data on Companies and Professionals

81 followers

Coresignal is a data provider offering comprehensive B2B data on companies, professionals, and jobs. New Coresignal MCP server enables easy access to over 1.1 billion data records for deeper and more informed insights, opening large-scale datasets to simplified, AI-driven workflows.
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Coresignal MCP gallery image
Coresignal MCP gallery image
Coresignal MCP gallery image
Free Options
Launch Team / Built With
AppSignal
AppSignal
Built for dev teams, not Fortune 500s.
Promoted

What do you think? …

Karolis Didziulis

Hello Product Hunt!​

We've just launched our MCP server, providing a standardized and easy way for LLMs to access and query our company, employee, and job posting datasets. The MCP server is an excellent addition to our mission of empowering businesses of any size with the freshest public web data.

In its essence, MCP servers used in the public web data industry simplify the integration of large-scale data into AI-assisted workflows. At the same time, they open a myriad of opportunities for innovative teams, even teams of 1 person, to build new projects with AI without the need for technically complex solutions.

Why should you consider using this MCP:

  • More than 1.1 billion regularly refreshed public web data records.

  • Direct access to our Multi-Source Company, Multi-Source Employee, and Jobs data APIs.

  • Simplified integration of rich data for better insights.

Data with an unmatched level of detail:

  • Multi-source company data that covers firmographics, financials and funding, workforce, online presence, technographics, products, and reviews. Over 500 data points in each record.

  • Multi-source employee data that shows a full, up-to-date picture of someone's professional experience, qualifications, and professional activity. Over 250 data points in each record.

  • Active job postings from a continuously updated database, and years of historical job posting data.

Getting started

  • Connect to our MCP server using LLMs like Claude that support this feature.

  • Build and automate your workflow using tools like N8N.

  • Integrate Coresignal’s MCP server into LanGraph, LangChain, and other frameworks.

You can find detailed instructions in the service provider's documentation.

Free trial

Let’s end this announcement on a high note! To mark the launch and let you explore our data at your pace, from May 28 to June 4, we offer 1,000 free search credits to all new Coresignal users. Credits can be used to test our MCP server with AI agents or try any other tools available to registered Coresignal users.

Stepan Solodnev

The seamless integration of massive, detailed datasets — from company profiles to employee histories and job postings — has saved me tons of time and technical hassle. I love how easy it is to plug it into workflows with tools like N8N or LangChain and immediately start building smarter, data-driven solutions. Overall, it’s an incredibly powerful resource for anyone wanting to supercharge their AI with high-quality public web data.

Karolis Didziulis

@solodnev Thanks for the support!

Erliza. P

Coresignal MCP is the ultimate data unification layer for enterprise AI! 🌐🤖 By consolidating 3 critical B2B data streams:

- Company intelligence (finances/tech stack)

- People graph (skills/career paths)

- Market signals (hiring trends/competitors)

Ricardo Taylor

Great idea!

Love how it simplifies workflows. I was recently working on a project that involved scraping and cleaning data manually — wish I had this earlier!

Karolis Didziulis

@rictaylorr Thanks for the support!

Joy Wang

Coresignal MCP is a game-changer for AI agents and LLMs! By connecting them to multi-source B2B data on companies, employees, and jobs, it eliminates the hassle of managing multiple data providers. I’m excited to see how it streamlines access to critical business data and enhances AI-driven insights!

Deshraj Singh

This looks great! Anyone creating with LLMs and automation tools will find this to be quite relevant because of the volume and quality of the data. Excited to explore it further!