smartround Launches "Investment Management MCP Server" for AI Integration of Investment Management Data
smartround has launched the "Investment Management MCP Server" and customized Skills for investors, enabling direct AI access to investment management data. This allows VCs to efficiently create diverse reports using AI tools like Claude based on data accumulated in smartround.
📋 Article Processing Timeline
- 📰 Published: May 13, 2026 at 19:00
- 🔍 Collected: May 13, 2026 at 10:31
- 🤖 AI Analyzed: May 14, 2026 at 05:35 (19h 3m after Collected)
smartround Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Dai Sunagawa), which has a mission to "create a world where startups can maximize their potential," announced today the launch of its "Investment Management MCP Server" and individual Skills for investors, allowing general-purpose AI tools to directly reference investment management data.
With this service, general-purpose AI, including Claude, can directly read investment portfolio lists, securities data, and financial information accumulated in smartround. This creates an environment where various documents, such as LP reports and internal materials, can be efficiently created through dialogue with general-purpose AI.
■ Background ~ The burden of responding to diversifying reporting formats and concerns about AI utilization ~
While the utilization of smartround has advanced the centralized management of investment data in the middle and back-office operations of VCs (Venture Capital), a significant amount of effort was still required to create LP (Limited Partner) reports and internal reports, which demand different formats depending on the submission destination.
Although an increasing number of VCs wish to streamline such document creation tasks with AI, the following concerns have been obstacles to actual implementation:
Limitations in data accuracy: Even if financial statements are fed directly to general-purpose AI, accurate information extraction is difficult, and usable output cannot be obtained for practical work.
Burden of setup: Significant expertise and effort are required to customize AI for one's own business workflow, leading to a failure to establish operational routines after initial use.
Security concerns: Reluctance to input confidential investment information about portfolio companies into general-purpose AI.
smartround focused on the current situation where a large amount of effort is spent on "the work of transforming existing data into a final deliverable format," and these concerns VCs have about using general-purpose AI. They believed that a fundamental solution could be achieved by combining structured data accumulated in smartround with onboarding support, leading to the development of this service.
smartround believes that by enhancing and supporting investors' investment activities, they can indirectly support the supply of funds to startups.
■ Value Proposition of This Service
With the launch of the "Investment Management MCP Server,"담당자 (person in charge) can now freely and efficiently create various documents, such as LP reports, using investment management data accumulated in smartround, simply by talking to an AI.
■ Key Features
Item | Content
---|---
① MCP Integration | AI tools can directly access smartround's investment management data. AI like Claude can reference investment portfolio lists and securities data.
② Skills Creation Support | smartround's staff will regularly interview clients to understand their business needs and support the creation of customized Skills for each company's operations, such as LP report creation and investment monitoring. Users can generate deliverables in their company's format simply by calling the Skills on the AI tool.
③ Supported AI Tools | Claude Chat / Claude Cowork / Claude Code
■ Strengths of This Service
1. Structured, high-quality data
Even if documents are fed directly to general-purpose AI, there are limits to accurate information extraction. smartround provides structured, high-quality data suitable for AI reference by having a specialized data entry support team organize the data.
2. Setup support tailored to business needs
The biggest bottleneck preventing AI utilization is the burden of customizing it for each company's operations after initial use. smartround's customer success team will work with clients to create Skills that match their business needs.
■ Voices from Early Adopters
"Creating Skills for LP reporting documents by ourselves would have taken more time than expected. We want to efficiently utilize AI with smartround." (XTech Ventures)
"Thanks to MCP, unnecessary transcription work has decreased, and I feel like I can concentrate on my core business." (Spiral Capital)
■ Future Outlook
smartround has enabled AI to read and utilize investment management data accumulated in smartround. Future developments include:
Beyond data reference: AI will also support data input and updates, building an environment where AI itself handles data preparation.
Expanding scope: Gradually expand the target areas to LP investment management and deal management, related to fund operations.
Keywords:
With this service, general-purpose AI, including Claude, can directly read investment portfolio lists, securities data, and financial information accumulated in smartround. This creates an environment where various documents, such as LP reports and internal materials, can be efficiently created through dialogue with general-purpose AI.
■ Background ~ The burden of responding to diversifying reporting formats and concerns about AI utilization ~
While the utilization of smartround has advanced the centralized management of investment data in the middle and back-office operations of VCs (Venture Capital), a significant amount of effort was still required to create LP (Limited Partner) reports and internal reports, which demand different formats depending on the submission destination.
Although an increasing number of VCs wish to streamline such document creation tasks with AI, the following concerns have been obstacles to actual implementation:
Limitations in data accuracy: Even if financial statements are fed directly to general-purpose AI, accurate information extraction is difficult, and usable output cannot be obtained for practical work.
Burden of setup: Significant expertise and effort are required to customize AI for one's own business workflow, leading to a failure to establish operational routines after initial use.
Security concerns: Reluctance to input confidential investment information about portfolio companies into general-purpose AI.
smartround focused on the current situation where a large amount of effort is spent on "the work of transforming existing data into a final deliverable format," and these concerns VCs have about using general-purpose AI. They believed that a fundamental solution could be achieved by combining structured data accumulated in smartround with onboarding support, leading to the development of this service.
smartround believes that by enhancing and supporting investors' investment activities, they can indirectly support the supply of funds to startups.
■ Value Proposition of This Service
With the launch of the "Investment Management MCP Server,"담당자 (person in charge) can now freely and efficiently create various documents, such as LP reports, using investment management data accumulated in smartround, simply by talking to an AI.
■ Key Features
Item | Content
---|---
① MCP Integration | AI tools can directly access smartround's investment management data. AI like Claude can reference investment portfolio lists and securities data.
② Skills Creation Support | smartround's staff will regularly interview clients to understand their business needs and support the creation of customized Skills for each company's operations, such as LP report creation and investment monitoring. Users can generate deliverables in their company's format simply by calling the Skills on the AI tool.
③ Supported AI Tools | Claude Chat / Claude Cowork / Claude Code
■ Strengths of This Service
1. Structured, high-quality data
Even if documents are fed directly to general-purpose AI, there are limits to accurate information extraction. smartround provides structured, high-quality data suitable for AI reference by having a specialized data entry support team organize the data.
2. Setup support tailored to business needs
The biggest bottleneck preventing AI utilization is the burden of customizing it for each company's operations after initial use. smartround's customer success team will work with clients to create Skills that match their business needs.
■ Voices from Early Adopters
"Creating Skills for LP reporting documents by ourselves would have taken more time than expected. We want to efficiently utilize AI with smartround." (XTech Ventures)
"Thanks to MCP, unnecessary transcription work has decreased, and I feel like I can concentrate on my core business." (Spiral Capital)
■ Future Outlook
smartround has enabled AI to read and utilize investment management data accumulated in smartround. Future developments include:
Beyond data reference: AI will also support data input and updates, building an environment where AI itself handles data preparation.
Expanding scope: Gradually expand the target areas to LP investment management and deal management, related to fund operations.
Keywords: