Jicoo Launches Japan’s First MCP Server for Booking and Scheduling Systems
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- 📰 Published: May 15, 2026 at 19:30
- 🔍 Collected: May 15, 2026 at 11:02
- 🤖 AI Analyzed: May 15, 2026 at 11:06 (3 min after Collected)
Jicoo Inc. announced the release of “Jicoo MCP Server,” described as Japan’s first Model Context Protocol (MCP) server for booking and scheduling systems. Through major MCP clients such as Claude Code by Anthropic, Codex CLI by OpenAI, and Gemini CLI by Google, users can create and edit booking pages or delegate scheduling tasks using only natural-language instructions. This shifts booking-page operations, which previously required configuration in an admin console, into workflows that can be completed with a single request to an AI agent. Alongside the MCP server, Jicoo also released three new public APIs: an API for retrieving Meeting AI transcripts and summaries, a booking-page creation API, and a Webhook endpoint management API. These allow developers to embed Jicoo’s scheduling capabilities directly into their own products, CRMs, ATS platforms, and internal portals. Jicoo MCP Server is available on all plans, including the free plan. Jicoo says the release is based on operational knowledge from 56,000 teams and 2.2 million cumulative bookings. As AI adoption expands from drafting proposals to updating CRM records, Jicoo aims to move remaining manual work such as scheduling and meeting-note operations into areas that AI can handle. Model Context Protocol, announced by Anthropic in November 2024, has rapidly spread as an industry standard for enabling AI agents to operate external systems safely. Major clients including Claude Code, Codex, Gemini CLI, and Cursor have adopted it. Jicoo MCP Server is positioned as a common interface for delegating meeting-related workflows to AI. The server has three main features. First, users can ask an AI agent to handle booking and scheduling operations, such as creating a 30-minute sales demo booking page for weekdays from 10:00 to 18:00 with specific hosts. It also supports bulk creation, such as generating multiple one-on-one booking pages by department. Second, AI can recommend optimal available slots across the calendars of the user, team members, and invitees, taking into account time zones, buffer time, travel time, and priorities. Third, developers can use MCP and Jicoo’s public APIs to implement and test custom booking systems at low cost, completing tasks such as endpoint verification, sample-code generation, test-data insertion, and temporary booking-page setup through natural language. Compared with Google Calendar MCP, which focuses on operating personal or shared Google Calendar events, Jicoo MCP Server functions as an agent for an entire scheduling platform spanning multiple people, calendars, and meetings. It covers booking pages, candidate-slot coordination, confirmations, and use of meeting records. Jicoo states that the two are complementary rather than competitive and can be used together. Expected use cases include engineers integrating Jicoo into CRMs, ATS platforms, internal portals, or proprietary products; sales managers using Meeting AI transcript and summary APIs to analyze win-loss factors and extract best practices from top performers; and non-engineering staff creating booking pages for different departments or use cases simply by describing the desired hosts, flow, and notification conditions to an AI agent. Jicoo MCP Server is free to use. Required items include a Jicoo account and an MCP-compatible AI client such as Claude Code, Codex, Gemini CLI, or Cursor. Scheduling and booking capabilities follow the scope of each Jicoo plan. For authentication and security, Jicoo supports OAuth 2.0, permission scopes, audit logs, ISO/IEC 27001:2022 certification, and CASA Tier 2 compliance. Jicoo also states that customer data exchanged through MCP will not be used to train its general-purpose AI models or models for other companies. Going forward, Jicoo plans to expand both MCP Server functionality and its Public API coverage, making Jicoo more directly callable not only from AI agents but also from in-house systems, business tools, and no-code tools. The company aims to provide a flexible foundation for building business processes around scheduling and meeting operations.