AI-Native CRM 'Frictio' Launches Public API and MCP Server
SYSLEA Inc. has started offering a Public API and an MCP server for its AI-native CRM 'Frictio'. This enables AI agents to autonomously access negotiation data, facilitating advanced sales automation and external system integration.
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- 📰 Published: April 14, 2026 at 19:00
- 🔍 Collected: April 14, 2026 at 10:31
- 🤖 AI Analyzed: April 19, 2026 at 18:08 (127h 37m after Collected)
SYSLEA Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Yusuke Ohashi; hereinafter 'the Company') announces that it has started general availability of the Public API and MCP server for 'Frictio', the AI-native CRM developed and provided by the Company.
With this, high-quality CRM data, automatically structured by Frictio from sales communications such as business negotiations, meetings, emails, and phone calls, can be imported into a company's core system at any desired timing. Furthermore, it becomes possible for MCP-compatible AI assistants like Claude and ChatGPT to autonomously access and utilize this data.
Background
Currently, while the introduction of SaaS is advancing in the field operations of many companies, 'data fragmentation', where each system is operated independently, has become a serious issue. In particular, primary information obtained in negotiations and meetings is the most valuable data for a company, but it is confined within transcription tools or certain CRMs, requiring manual export or transcription by people to utilize it in other systems. This not only stagnates business speed but also lowers the resolution of customer understanding within the company and hinders rapid decision-making in management.
Furthermore, as the 'AI Agent Era'—where AI autonomously handles practical tasks—is arriving, the traditional design of humans operating UIs to extract information makes it inherently difficult for AI to utilize data. Eliminating data silos and possessing an interface that AI can directly read—both are essential for future business foundations.
'Frictio' is an AI-native CRM utilized by approximately 170 companies. AI automatically captures conversations and structures information such as 'customer issues', 'BANT conditions', and 'competitor information' from the conversational context, accumulating primary management information without the hassle of manual input. This time, we have simultaneously released the Public API to supply accumulated data externally, and the MCP server for AI agents to autonomously access the data.
Overview
1. Frictio Public API
Provides data accumulated in Frictio via REST API. It enables integration with existing tools, construction of custom workflows, and extraction of insights. Initially, we will start offering endpoints for reading data within Frictio, and gradually expand the functions.
2. Frictio MCP Server
The Frictio MCP server complies with the 'MCP (Model Context Protocol)', an open protocol established by Anthropic. It becomes possible to directly access Frictio's negotiation data using natural language from AI assistants like Claude and ChatGPT.
Expected Use Cases
- Integration of negotiation data into internal systems [API]
Through the API, data accumulated in Frictio can be retrieved at any timing and stored in your company's database or BI tools. It enables control over 'what data, when, and at what granularity' to import, which was difficult with conventional Webhooks (event-triggered), allowing for more precise management of negotiation information on internal systems.
- Direct utilization of context by AI agents [MCP]
It becomes possible to access context data such as 'customer's sense of issue' and 'background of consideration' on Frictio in natural language via the MCP server. It realizes highly advanced sales support based on context, such as deep analysis of customer issues, automatic generation of sales reports, and suggestions for the next actions.
- Autonomous execution of sales workflows across multiple SaaS [MCP]
By having an AI agent simultaneously utilize Frictio's MCP server and the MCP servers of other SaaS (Slack, Notion, Google Calendar, etc.), a series of sales tasks across tools can be executed autonomously. For example, a cross-functional workflow is realized where the AI fetches the negotiation context from Frictio, refers to internal discussions on Slack and account plans on Notion, and automatically creates preparation materials for the next meeting.
Future Outlook
We will continuously expand the endpoints for the Public API and MCP server, gradually extending the types of retrievable data and the operational scope. We also plan to advance two-way data integration with external SaaS such as Notion and Google Drive.
With this, high-quality CRM data, automatically structured by Frictio from sales communications such as business negotiations, meetings, emails, and phone calls, can be imported into a company's core system at any desired timing. Furthermore, it becomes possible for MCP-compatible AI assistants like Claude and ChatGPT to autonomously access and utilize this data.
Background
Currently, while the introduction of SaaS is advancing in the field operations of many companies, 'data fragmentation', where each system is operated independently, has become a serious issue. In particular, primary information obtained in negotiations and meetings is the most valuable data for a company, but it is confined within transcription tools or certain CRMs, requiring manual export or transcription by people to utilize it in other systems. This not only stagnates business speed but also lowers the resolution of customer understanding within the company and hinders rapid decision-making in management.
Furthermore, as the 'AI Agent Era'—where AI autonomously handles practical tasks—is arriving, the traditional design of humans operating UIs to extract information makes it inherently difficult for AI to utilize data. Eliminating data silos and possessing an interface that AI can directly read—both are essential for future business foundations.
'Frictio' is an AI-native CRM utilized by approximately 170 companies. AI automatically captures conversations and structures information such as 'customer issues', 'BANT conditions', and 'competitor information' from the conversational context, accumulating primary management information without the hassle of manual input. This time, we have simultaneously released the Public API to supply accumulated data externally, and the MCP server for AI agents to autonomously access the data.
Overview
1. Frictio Public API
Provides data accumulated in Frictio via REST API. It enables integration with existing tools, construction of custom workflows, and extraction of insights. Initially, we will start offering endpoints for reading data within Frictio, and gradually expand the functions.
2. Frictio MCP Server
The Frictio MCP server complies with the 'MCP (Model Context Protocol)', an open protocol established by Anthropic. It becomes possible to directly access Frictio's negotiation data using natural language from AI assistants like Claude and ChatGPT.
Expected Use Cases
- Integration of negotiation data into internal systems [API]
Through the API, data accumulated in Frictio can be retrieved at any timing and stored in your company's database or BI tools. It enables control over 'what data, when, and at what granularity' to import, which was difficult with conventional Webhooks (event-triggered), allowing for more precise management of negotiation information on internal systems.
- Direct utilization of context by AI agents [MCP]
It becomes possible to access context data such as 'customer's sense of issue' and 'background of consideration' on Frictio in natural language via the MCP server. It realizes highly advanced sales support based on context, such as deep analysis of customer issues, automatic generation of sales reports, and suggestions for the next actions.
- Autonomous execution of sales workflows across multiple SaaS [MCP]
By having an AI agent simultaneously utilize Frictio's MCP server and the MCP servers of other SaaS (Slack, Notion, Google Calendar, etc.), a series of sales tasks across tools can be executed autonomously. For example, a cross-functional workflow is realized where the AI fetches the negotiation context from Frictio, refers to internal discussions on Slack and account plans on Notion, and automatically creates preparation materials for the next meeting.
Future Outlook
We will continuously expand the endpoints for the Public API and MCP server, gradually extending the types of retrievable data and the operational scope. We also plan to advance two-way data integration with external SaaS such as Notion and Google Drive.