Aquacraft Launches MCP Support for Aquaculture Management Service 'uwotech pro'
Aquacraft has added MCP (Model Context Protocol) support to its aquaculture production management SaaS, 'uwotech pro.' This enables users to reference breeding data and register daily reports via AI assistants like Claude and ChatGPT, promoting DX in the aquaculture industry.
📋 Article Processing Timeline
- 📰 Published: May 11, 2026 at 17:30
- 🔍 Collected: May 11, 2026 at 09:01
- 🤖 AI Analyzed: May 15, 2026 at 09:19 (96h 17m after Collected)
Aquaculture is one of the industries where MCP support is not yet common, but it has been quickly adopted for our aquaculture production management SaaS*. Operations can now be performed conversationally through AI assistants like Claude and ChatGPT, with prompts such as 'What is the feed conversion ratio for seed X?' or 'Record 200kg of feed for cage No. 3.' This enables advanced aquaculture management utilizing AI via MCP. The feature is available to all existing plan users at no additional cost.
*As of May 2026, based on our own research.
## Launch of uwotech's MCP Support
Aquacraft Inc. (Location: Higashiyamato, Tokyo; CEO: Makoto Kaji) will add a Model Context Protocol (MCP) support function to its aquaculture production management service 'uwotech pro' starting May 11, 2026. This function will allow users to reference breeding data stored in uwotech pro, register daily reports, and analyze production indicators through natural conversation with AI assistants like Claude and ChatGPT. It will be provided to all existing plan users at no additional cost.
## ◆ Background: The Advent of the AI Agent Era and Challenges in the Aquaculture Industry
The integration of AI agents with business systems is rapidly advancing worldwide. The open standard 'MCP (Model Context Protocol),' proposed by Anthropic in the U.S. in November 2024, is being adopted by major AI companies such as Google, Microsoft, and OpenAI, and is becoming the de facto standard for connecting AI assistants with business systems. Industries proactive in AI utilization, such as accounting (freee, Money Forward) and SFA, are already progressing with MCP support. However, cases of MCP support in production management systems for the aquaculture industry are still limited (as of May 2026, based on our own research).
We have continuously received requests from our customers, such as 'I want to analyze and utilize the daily accumulated breeding data with AI' and 'I want to link production data according to our company's workflow.' However, since workflows and tools differ from company to company, conventional individual API integration had its limits in meeting each company's specific demands. To solve these issues, Aquacraft has decided to implement MCP support. MCP provides a 'common gateway' from AI assistants to business systems, allowing each company to achieve flexible AI utilization tailored to their unique workflows with minimal development effort.
## ◆ What is MCP: A Common Standard from AI Assistants to Business Systems
MCP is an open common standard for securely connecting AI assistants (like Claude, ChatGPT) and business systems. With MCP support, AI can access and register breeding data on uwotech pro, which was previously inaccessible to standalone AI assistants, through natural language.
The difference from conventional AI chats is that the AI 'actually operates the business system.' It doesn't just read data; the AI can register daily reports during a conversation or compare and analyze multiple lots, taking over tasks that previously required human screen operation.
*Reference, registration, comparison, and analysis, which previously required screen operations, can now be done conversationally with AI.*
## ◆ About the 'uwotech pro' MCP Support Function
### Key Features
**Reference breeding data through conversation with an AI assistant**
For natural questions like 'What is the feed conversion ratio for seed X this month?' or 'Which cage had high mortality last month?', the AI references data from uwotech pro and provides answers along with the source data.
**Create company-specific daily reports through conversation with an AI assistant**
Simply by requesting, 'Fed 200kg of EP No. 5 to cage No. 3' or '3 mortalities in cage No. 5,' the AI accurately registers the record in uwotech pro. There is no need to open a form screen.
**Analyze production indicators through conversation with an AI assistant**
Analysis and comparison, such as 'Which lot has the best feed conversion ratio this season?' or 'I want to see the monthly changes in feed costs,' can also be left to the AI. This allows for an understanding of the current situation through conversation alone, without the need for specialized reporting tools.
**Build custom AI utilization and system integration**
Flexible integration of AI into unique business workflows, such as linking with inventory systems, data連携 with sensors, and generating reports for effectiveness verification, can be realized according to each company's needs.
**No additional cost for all existing plans**
All current users of uwotech pro can use this feature at no additional cost.
## Representative's Comment
We believe that 2026 will be a turning point where business systems shift to a new form of 'people working collaboratively with AI.' For AI assistants to be utilized in the aquaculture field, it is essential that the business system side is ready to be handled by AI. uwotech
*As of May 2026, based on our own research.
## Launch of uwotech's MCP Support
Aquacraft Inc. (Location: Higashiyamato, Tokyo; CEO: Makoto Kaji) will add a Model Context Protocol (MCP) support function to its aquaculture production management service 'uwotech pro' starting May 11, 2026. This function will allow users to reference breeding data stored in uwotech pro, register daily reports, and analyze production indicators through natural conversation with AI assistants like Claude and ChatGPT. It will be provided to all existing plan users at no additional cost.
## ◆ Background: The Advent of the AI Agent Era and Challenges in the Aquaculture Industry
The integration of AI agents with business systems is rapidly advancing worldwide. The open standard 'MCP (Model Context Protocol),' proposed by Anthropic in the U.S. in November 2024, is being adopted by major AI companies such as Google, Microsoft, and OpenAI, and is becoming the de facto standard for connecting AI assistants with business systems. Industries proactive in AI utilization, such as accounting (freee, Money Forward) and SFA, are already progressing with MCP support. However, cases of MCP support in production management systems for the aquaculture industry are still limited (as of May 2026, based on our own research).
We have continuously received requests from our customers, such as 'I want to analyze and utilize the daily accumulated breeding data with AI' and 'I want to link production data according to our company's workflow.' However, since workflows and tools differ from company to company, conventional individual API integration had its limits in meeting each company's specific demands. To solve these issues, Aquacraft has decided to implement MCP support. MCP provides a 'common gateway' from AI assistants to business systems, allowing each company to achieve flexible AI utilization tailored to their unique workflows with minimal development effort.
## ◆ What is MCP: A Common Standard from AI Assistants to Business Systems
MCP is an open common standard for securely connecting AI assistants (like Claude, ChatGPT) and business systems. With MCP support, AI can access and register breeding data on uwotech pro, which was previously inaccessible to standalone AI assistants, through natural language.
The difference from conventional AI chats is that the AI 'actually operates the business system.' It doesn't just read data; the AI can register daily reports during a conversation or compare and analyze multiple lots, taking over tasks that previously required human screen operation.
*Reference, registration, comparison, and analysis, which previously required screen operations, can now be done conversationally with AI.*
## ◆ About the 'uwotech pro' MCP Support Function
### Key Features
**Reference breeding data through conversation with an AI assistant**
For natural questions like 'What is the feed conversion ratio for seed X this month?' or 'Which cage had high mortality last month?', the AI references data from uwotech pro and provides answers along with the source data.
**Create company-specific daily reports through conversation with an AI assistant**
Simply by requesting, 'Fed 200kg of EP No. 5 to cage No. 3' or '3 mortalities in cage No. 5,' the AI accurately registers the record in uwotech pro. There is no need to open a form screen.
**Analyze production indicators through conversation with an AI assistant**
Analysis and comparison, such as 'Which lot has the best feed conversion ratio this season?' or 'I want to see the monthly changes in feed costs,' can also be left to the AI. This allows for an understanding of the current situation through conversation alone, without the need for specialized reporting tools.
**Build custom AI utilization and system integration**
Flexible integration of AI into unique business workflows, such as linking with inventory systems, data連携 with sensors, and generating reports for effectiveness verification, can be realized according to each company's needs.
**No additional cost for all existing plans**
All current users of uwotech pro can use this feature at no additional cost.
## Representative's Comment
We believe that 2026 will be a turning point where business systems shift to a new form of 'people working collaboratively with AI.' For AI assistants to be utilized in the aquaculture field, it is essential that the business system side is ready to be handled by AI. uwotech