SalesNow Launches Japan's First Corporate Data MCP Server - Over 14 Million Corporate Data Records Directly Accessible from Claude and Cursor
SalesNow has launched 'SalesNow MCP', Japan's first corporate data MCP server, enabling direct access to over 14 million corporate data records from AI tools like Claude and Cursor. This service supports AI agents in sales activities by providing accurate and real-time data.
📋 Article Processing Timeline
- 📰 Published: April 24, 2026 at 19:00
- 🔍 Collected: April 24, 2026 at 10:31
- 🤖 AI Analyzed: April 25, 2026 at 03:31 (16h 59m after Collected)
SalesNow Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Isao Muraoka; hereinafter, SalesNow) will begin offering MCP (Model Context Protocol) compatibility for its SalesNow API, which makes its database of over 14 million companies and organizations directly accessible from AI tools.
This service allows real-time access to SalesNow's corporate database via MCP or REST API from AI tools such as Claude and Cursor. It can be used for free for up to 500 credits per month.
Service website here: https://salesnow.jp/mcp/
■ Background to the Announcement
In the era of AI agents, "reliable corporate data" is becoming a bottleneck.
In 2026, the use of AI is shifting from "asking questions in chat" to "AI agents autonomously executing sales tasks." Automated target list generation, automated pre-sales research, and automated outreach based on corporate change signals. For such AI agents to function, accurate and real-time corporate data is essential.
However, current AI systems do not incorporate corporate databases that can withstand practical sales operations. Much of the training data is several months to over a year old, and rapidly changing information such as employee numbers, sales, and hiring status is constantly outdated.
Outdated data: Only contains information from the time of learning (several months to over a year ago), not reflecting the latest employee numbers, sales, or hiring status.
Hallucination: Provides non-existent company names or incorrect locations/industry classifications.
Shallow data: Only returns basic information such as company name and industry, lacking data necessary for sales such as executive information, direct departmental phone numbers, and hiring trends.
The fundamental reason is not that AI lies, but that it cannot access accurate corporate data.
SalesNow will launch "SalesNow MCP" as a "reliable corporate data foundation" that AI agents can refer to.
■ Overview of SalesNow MCP
Becoming the "corporate data memory" of AI.
SalesNow MCP is a service that connects SalesNow's corporate database to your AI tools (Claude, Cursor, etc.). Once connected, you can get answers based on over 14 million accurate corporate and organizational data records simply by asking the AI in natural language.
Differences before and after connection:
Raw AI (before connection)
SalesNow (after connection)
Data freshness
Learning time (several months to years ago)
Real-time data updated 2.3 million times daily
Data accuracy
Hallucination present
Accurate primary data linked to corporate numbers
Data depth
Basic information such as company name and industry
Sales, executive information, direct numbers, hiring trends, news
■ Main Use Cases
1. Sales representatives use corporate data via AI tools.
By simply asking questions in natural language on an AI tool, accurate corporate data is returned.
Target list creation: "Generate 50 SaaS companies with over 100 employees that recently raised capital."
New company list: "List IT companies established last month in Shibuya-ku."
Meeting preparation: "Summarize the latest news on Company A, which we have a meeting with next week, and key points that would resonate."
Conditional list: "30 manufacturing companies with over 10 billion yen in sales and a DX promotion manager."
Traditionally, creating lists and researching companies took 30 minutes to 1 hour manually, but now it can be done just by asking AI.
2. Corporate data foundation for building AI agents.
Companies can integrate SalesNow API/MCP as the corporate data foundation for AI to refer to when building AI agents. It can be connected via REST API or MCP, supplying accurate corporate data to AI agents.
■ Features of SalesNow MCP
1. Japan's first public release of a corporate database MCP server.
MCP (Model Context Protocol) is an open protocol for AI to access external data and services in real-time. Overseas, ZoomInfo and Apollo.io offer corporate data MCP servers, but SalesNow is the first in Japan to publicly release an MCP server for a Japanese corporate database. It is available from all MCP-compatible AI tools, including Claude Code, Claude Desktop, and Cursor.
2. Free up to 500 credits per month.
You can acquire corporate data for free up to 500 credits per month without credit card registration. It is designed for individuals to easily try it out and then scale to team adoption once results are seen. The same API key can be used across all plans.
This service allows real-time access to SalesNow's corporate database via MCP or REST API from AI tools such as Claude and Cursor. It can be used for free for up to 500 credits per month.
Service website here: https://salesnow.jp/mcp/
■ Background to the Announcement
In the era of AI agents, "reliable corporate data" is becoming a bottleneck.
In 2026, the use of AI is shifting from "asking questions in chat" to "AI agents autonomously executing sales tasks." Automated target list generation, automated pre-sales research, and automated outreach based on corporate change signals. For such AI agents to function, accurate and real-time corporate data is essential.
However, current AI systems do not incorporate corporate databases that can withstand practical sales operations. Much of the training data is several months to over a year old, and rapidly changing information such as employee numbers, sales, and hiring status is constantly outdated.
Outdated data: Only contains information from the time of learning (several months to over a year ago), not reflecting the latest employee numbers, sales, or hiring status.
Hallucination: Provides non-existent company names or incorrect locations/industry classifications.
Shallow data: Only returns basic information such as company name and industry, lacking data necessary for sales such as executive information, direct departmental phone numbers, and hiring trends.
The fundamental reason is not that AI lies, but that it cannot access accurate corporate data.
SalesNow will launch "SalesNow MCP" as a "reliable corporate data foundation" that AI agents can refer to.
■ Overview of SalesNow MCP
Becoming the "corporate data memory" of AI.
SalesNow MCP is a service that connects SalesNow's corporate database to your AI tools (Claude, Cursor, etc.). Once connected, you can get answers based on over 14 million accurate corporate and organizational data records simply by asking the AI in natural language.
Differences before and after connection:
Raw AI (before connection)
SalesNow (after connection)
Data freshness
Learning time (several months to years ago)
Real-time data updated 2.3 million times daily
Data accuracy
Hallucination present
Accurate primary data linked to corporate numbers
Data depth
Basic information such as company name and industry
Sales, executive information, direct numbers, hiring trends, news
■ Main Use Cases
1. Sales representatives use corporate data via AI tools.
By simply asking questions in natural language on an AI tool, accurate corporate data is returned.
Target list creation: "Generate 50 SaaS companies with over 100 employees that recently raised capital."
New company list: "List IT companies established last month in Shibuya-ku."
Meeting preparation: "Summarize the latest news on Company A, which we have a meeting with next week, and key points that would resonate."
Conditional list: "30 manufacturing companies with over 10 billion yen in sales and a DX promotion manager."
Traditionally, creating lists and researching companies took 30 minutes to 1 hour manually, but now it can be done just by asking AI.
2. Corporate data foundation for building AI agents.
Companies can integrate SalesNow API/MCP as the corporate data foundation for AI to refer to when building AI agents. It can be connected via REST API or MCP, supplying accurate corporate data to AI agents.
■ Features of SalesNow MCP
1. Japan's first public release of a corporate database MCP server.
MCP (Model Context Protocol) is an open protocol for AI to access external data and services in real-time. Overseas, ZoomInfo and Apollo.io offer corporate data MCP servers, but SalesNow is the first in Japan to publicly release an MCP server for a Japanese corporate database. It is available from all MCP-compatible AI tools, including Claude Code, Claude Desktop, and Cursor.
2. Free up to 500 credits per month.
You can acquire corporate data for free up to 500 credits per month without credit card registration. It is designed for individuals to easily try it out and then scale to team adoption once results are seen. The same API key can be used across all plans.