Mattermark MCP. Analyze company data and track venture capital history.

Mattermark hooks your AI agent up directly to deep venture capital data and startup records. You don't just read a website; you run specialized queries against verified company history.

When you need to find startups, you can use search_companies to target companies based on criteria like their industry, where they're located, or when they were founded. For funding, you can search the global database of rounds using search_funding_rounds, specifying things like an amount range or a year.

Once you’ve got a company ID, you get a whole profile. get_company_details pulls the core metadata and general background info for that single company. You can map out its entire financial journey using get_company_funding_rounds, which gives you every investment round it's completed. If you need specifics on just one of those rounds, use get_funding_round_details to grab the exact date and dollar amount.

To see who works there right now, call get_company_employees. This tool retrieves current employee data and outlines the company's personnel structure. You can keep up with what’s happening in the news by running get_company_news, which pulls recent articles related to that specific ID.

Mapping out who the players are is just as important. To get a list of major venture capital firms and institutional money, you use list_investors. You can then drill down into any of those groups by using get_investor_details; this gives you their profile summary and background data.

If you wanna know who's playing in the same sandbox, run list_similar_companies to find competitors or peers operating in a similar sector or market space. You can also verify that information by running get_company_details on any company ID you come across.

Your agent handles these complex lookups naturally. For example, if you ask it to track the funding history of Company X and then ask what kind of investors were involved in their Series B round, your AI client stitches together calls using get_company_funding_rounds for the full timeline, followed by a call to get_investor_details linked to that specific round's data.

It’s all about running structured data requests through plain language conversation.

This server lets your agent build comprehensive profiles: finding startups via search_companies, pulling deep operational details using get_company_employees, tracking the money flow with get_funding_round_details, and understanding the network by listing investors with list_investors. You get verified data points, not vague summaries. It’s built for people who need precise answers about where the money is going.