"Ekipert API MCP Server" Releases Timetable Search Function

VAL研究所 Co., Ltd. (Headquarters: Suginami-ku, Tokyo; CEO: Muneshi Kikuchi), the provider of the "Ekipert" route search service, released a timetable search function for its "Ekipert API MCP Server" on Thursday, March 26, 2026. The company will also hold an online seminar on Friday, April 17, 2026, on the theme of "Transitioning to Systems Used by AI (SoA)."

This release enables AI agents integrated with the "Ekipert API MCP Server" to perform natural language-based route searches using public transportation timetable data, including departure/arrival times and first/last trains. For example, it can now provide accurate AI-driven responses to requests like, "Show me the fastest and cheapest routes from Yokohama to Ikebukuro to arrive by 18:00," based on the latest schedules.

The "Ekipert API" will continue to add features and provide dedicated services for developers in response to customer and market needs.

■ What is the "Ekipert API MCP Server"?

The "Ekipert API MCP Server" allows for easy integration between AI and the "Ekipert API." It supports the standard MCP (Model Context Protocol), simplifying embedding into AI agents and existing services. This eliminates the need for detailed parameter specification, dramatically reducing development effort.

・Solves the issue of inaccurate fares and routes caused by AI "hallucinations," ensuring the provision of correct route information and enabling the creation of applications through natural language dialogue.

・Allows an AI agent to appropriately specify and execute "Ekipert API" paths and parameters based on a user's natural language instructions.

・Eliminates the need to call the "Ekipert API" manually or programmatically, making the API directly accessible via an AI agent.

For details and applications, click here: https://api-info.ekispert.com/mcp/

■ Usage Example

By integrating with a travel service AI agent, the AI can combine user preferences, local information, and public transportation timetable data to easily create highly flexible and accurate travel itineraries.