Transform fragmented internal data into a common language that AI can use." - Bridging legacy systems and AI with the integrated API platform "MCP Server.
The MCP Server (Model Control Protocol Server) integrates business systems, SaaS, and databases scattered throughout the company, creating a common platform that can be safely and flexibly utilized by AI and automation tools. Its greatest feature is the ability to centrally manage and connect multiple internal data sources and standardize them into a format that can be handled by AI and n8n. This integration significantly reduces the development effort required for new integration implementations and AI adoption by consolidating API connections and processing flows that were individually developed for each department. Additionally, it standardly addresses enterprise requirements such as authentication, permissions, and logging, allowing companies with strict security policies to build an AI utilization platform in a short period. It also anticipates connections with legacy environments, enabling phased AI implementation without waiting for the renewal of existing systems, which is a significant advantage. As a result, it is utilized as a core platform to accelerate the company-wide deployment of AI and automation projects, moving away from individual requests to the information systems department and from person-dependent operational designs.
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basic information
The MCP server adopts a microservices architecture and supports standard protocols such as REST API and Webhook. Authentication can be done using API keys and OAuth 2.0, and it also allows for internal token management and IP restrictions, making it a secure design intended for internal use. As for connection targets, it supports major RDBMS like MySQL and PostgreSQL, as well as cloud DWHs like BigQuery and CSV files. For SaaS integration, it can connect with widely used business applications in Japan such as Salesforce, kintone, freee, MoneyForward, and SmartHR. In terms of log management, it retains execution history, reference logs, and records of access permission changes, addressing internal control and audit requirements. The delivery format is primarily self-hosted, with flexible support for Docker images and on-premises environments.
Price range
P5
Delivery Time
P4
Applications/Examples of results
In the procurement department of the manufacturing industry, tools for requesting quotes, parts master databases, and supplier databases were scattered both inside and outside the department, and the verification and progress checks were done manually. By implementing the MCP server, these data have been integrated, allowing AI to automatically process delivery responses and quote confirmations. Additionally, in pharmaceutical companies, the workflow systems used for approval flows and internal inquiries were separate from the inquiry history database, leading to the inconvenience of responders having to search for past responses. By connecting the two through MCP, AI can now automatically present appropriate past cases in response to inquiries. Furthermore, in the information systems department, various business tools within the company are centrally managed through MCP, enabling the automation of routine tasks in conjunction with n8n. In the management department, multiple SaaS applications related to attendance, expenses, and contracts have been integrated and are being utilized as the foundation for a governance-compliant internal AI chatbot.
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Company information
Homula Inc. aims to fundamentally transform corporate productivity through the development and provision of the AI agent "Agens," which understands and executes business tasks related to daily business communications such as meetings, emails, and chats. We integrate multimodal information such as voice and text, allowing AI to autonomously process the "ToDos" that arise from daily communication. We provide an environment where the insights and judgments of talented personnel can be converted into knowledge assets and deployed across the organization as reproducible processes. In recent years, we have strengthened our collaboration with the globally recognized no-code automation platform "n8n." By combining the convenience of n8n, which allows for intuitive integration with business systems and SaaS, with Agens's natural language understanding and complex task execution capabilities, we are achieving a hybrid of user-friendly and advanced AI workflows in the field. From in-house business development by non-engineers to enterprise-level security compliance, data integration, and governance design, we support the entire process from Proof of Concept (PoC) starting in as little as two weeks to implementation, establishment, and self-sustainability.