Hatena Launches MCP Server (Beta) for AI-Powered Interview Analysis SaaS 'toitta'

Hatena Co., Ltd. (President and CEO: Yoshiomi Kurisu / Headquarters: Nakagyo-ku, Kyoto City) announces the start of providing a beta version of an MCP (Model Context Protocol) server for its AI-powered interview analysis SaaS 'toitta'. With this feature, AI tools such as Claude/Claude Code and ChatGPT/Codex can directly reference and query interview data on 'toitta' for analysis. Furthermore, 'toitta' will support customers not only by providing the MCP server but also by assisting in building and establishing usage methods. ▽ About AI-Powered Interview Analysis SaaS 'toitta' https://ja.toitta.com/ 'toitta', provided by Hatena, is an AI-powered interview analysis SaaS that supports the analysis process of interview results, such as design research and marketing research. It accelerates the speed at which researchers can analyze speech information through high-precision transcription and segment generation, and supports analysis processes such as discovering insights through deep analysis using segments and refining hypotheses. ▽ About the 'toitta' MCP Server (Beta) MCP (Model Context Protocol) is a common standard for connecting AI tools with external data and services. Proposed by Anthropic, it has become an industry standard adopted by a wide range of AI tools, from AI chat tools like Claude and ChatGPT to coding tools that operate as AI agents. With the spread of MCP, usage across multiple AI tools and services is expanding. Many customers using 'toitta' have requested the ability to continue their analysis within their familiar AI tools. The MCP server was developed in response to these requests. By connecting the 'toitta' MCP server (beta), users can call up interview transcripts and segments from AI tools, enabling cross-team and cross-project exploration and analysis entirely within their AI tools. For requests in natural language like 'Find parts in last month's interviews where they talk about reasons for cancellation,' the AI navigates the hierarchy of teams, projects, and interviews, using keyword search and semantic search to find the relevant parts. When the AI tool constructs a response, it is designed to include links to the supporting speech segments or segments. Users can immediately check and reference the statements that formed the basis of the AI's response. After importing 'toitta' data, users can continue asking in-depth questions within the AI tool and combine it with other materials for discussion. Note that the functions provided in the beta version are limited to data reading tools; data cannot be rewritten via AI tools. A standard authorization method is used for connection, and the accessible data range is limited to what the logged-in user can view on 'toitta'. For details on functions, tools, and how to apply for use, please check below. https://ja.toitta.com/blog/20260603_mcpserver_beta_release/ The MCP server is an entry point connecting 'toitta' data with AI tools, but simply providing an entry point is not enough for optimal use in each customer's business. Therefore, 'toitta' will not only provide the MCP server but also support customers in building and establishing usage methods tailored to their work processes, promoting the transformation of interview analysis work using AI. ▽ Future Outlook for 'toitta' Regarding the MCP server (beta), we will continue to expand compatible tools and improve functions towards the official release. We also plan to automate tasks such as continuously updating customer journey maps and personas based on accumulated interview data. In addition to post-interview processes (speech data conversion, analysis, sharing within the organization), 'toitta' will leverage its accumulated knowledge of user interviews and AI utilization to promote survey support for conducting high-quality, low-cost surveys and educational/training programs to foster a corporate research culture. Through continuous feature development and solution provision, we will contribute to the analysis, sharing, and management of interview data, support the effective practice of user interviews, and improve the efficiency and productivity of personnel and teams involved in service development and improvement. ■ Hatena Co., Ltd. Overview https://hatena.co.jp Headquarters: 7F Yomiuri Kyoto Building, 630 Shichikannon-cho, Karasuma-dori Rokkaku-sagaru, Nakagyo-ku, Kyoto City, Kyoto Prefecture Tokyo Office: 3F Aoyama Sunlight Building, 6-5-55 Minami-Aoyama, Minato-ku, Tokyo President and CEO: Yoshiomi Kurisu Established: July 2001 Business Description: Operates content platform services with 13.12 million registered users (as of January 2026). Representative services include Japan's largest social bookmarking service 'Hatena Bookmark' and the blog service 'Hatena Blog'. Also provides various solutions and services leveraging the technology and user power cultivated through content platform services, including the observability platform 'Mackerel', the AI-powered interview analysis SaaS 'toitta', and the website creation CMS 'Hatena CMS'. Also has numerous joint development cases for web services and applications, mainly content platforms.