How is Syncline different from other scheduling tools?

Syncline removes cognitive load by using AI to automatically pick the OPTIMAL time for meetings, rather than asking users to browse and select slots. It analyzes over 100 factors like energy patterns, timezone fairness, meeting context, learned preferences, and historical outcomes. This makes it smarter and more efficient than traditional tools, specifically built for AI agents, not human clicking.

What calendar data does Syncline access?

Syncline only accesses free/busy times (e.g., '9am-10am: busy', '10am-11am: free'). It explicitly states that it never reads event titles, descriptions, attendees, or any other details, ensuring user privacy.

What is MCP (Model Context Protocol) and why should I use it?

MCP is a protocol for native AI agent-to-service communication. It allows AI agents (like Claude, GPT) to call Syncline directly using natural language, eliminating HTTP boilerplate in your code. This enables your LLM to decide when to schedule meetings, offering native tool calling support and greater autonomy for your agent. Both REST API and MCP access the same intelligent scheduling; use REST for more control, MCP for autonomy.

Which calendars does Syncline support?

Currently, Syncline supports Google Calendar. The architecture is designed to support any calendar provider, with Outlook and Apple Calendar integration planned for the future. Google Calendar was prioritized as it's used by 80% of professionals.

Is the Developer tier truly free?

Yes, the Developer tier is free forever. It includes 25 meetings per month, full API access, 5 API keys, webhooks, MCP support, and community support, with no credit card required, no trial, and no hidden catches. It's ideal for testing and side projects.

How does the intelligent auto-scheduling work?

Syncline's intelligent auto-scheduling uses three layers: 1. Context-Aware Scoring (e.g., investor calls get morning slots). 2. SOTA LLM Personalization (learns from user preferences like 'morning person'). 3. Outcome-Based Learning (tracks acceptances, reschedules, cancellations) to refine scheduling. This process continually optimizes meeting times, aiming for 90% perfection on the first booking and 99% by the tenth, without human intervention.

Can users revoke access to Syncline?

Yes, users can revoke Syncline's access from their Google account settings at any time, and access terminates instantly. Syncline also automatically deletes encrypted tokens after 90 days of inactivity, ensuring users maintain control over their data.

What is Founder's Access?

Founder's Access offers the first 100 customers a permanent 40% discount on Pro and Scale plans. For example, Pro drops from $99 to $59/month, and Scale drops from $299 to $179/month. This discount is grandfathered for the lifetime of the subscription as long as it's maintained.

Syncline was built by Kekwanu Labs AI Studio. It originated from a hackathon and has grown into a popular scheduling infrastructure, driven by the belief that agentic workflows require superior infrastructure to create more intelligent and effective AI solutions.

Syncline: AI-First Scheduling API for Developers & AI Agents

Syncline Overview

Syncline, a product of Kekwanu Labs AI Studio, is an advanced AI-first scheduling infrastructure built specifically for developers and AI agents. Originating from a hackathon, it has evolved into a widely used scheduling API that empowers AI agents like Claude, GPT, and other Large Language Models (LLMs) to automatically schedule meetings between individuals without any human intervention. Syncline takes the complexity out of calendar management, handling intricate details such as OAuth, timezone calculations, and various edge cases, allowing developers to focus purely on building their AI agents.

How to use Syncline

Developers can integrate Syncline into their AI agents or platforms primarily through two methods: a REST API or the Model Context Protocol (MCP). For the REST API, developers send a POST request to /v1/schedule/auto with attendees and meeting context. Syncline's intelligent system then automatically finds availability, identifies the optimal time based on over 100 factors, and creates the meeting. For AI agents, native MCP support allows direct scheduling via natural language, eliminating the need for HTTP boilerplate. After installing the @kekwanulabs/syncline-mcp-server and configuring their AI client (e.g., Claude Desktop) with their API key, agents can utilize tools like schedule_auto, find_availability, schedule_meeting, and get_user_calendar_status to manage calendars autonomously.

Core Features of Syncline

REST API for programmatic calendar scheduling, offering a single endpoint for automatic meeting booking.
Model Context Protocol (MCP) server for native AI agent integration, enabling direct natural language scheduling.
Intelligent auto-scheduling that analyzes 100+ factors, including context-aware scoring, LLM personalization, and outcome-based learning, to find optimal meeting times.
Self-learning intelligence that improves with every booking, tracking acceptances, reschedules, and cancellations to refine scheduling accuracy.
Seamless Google Calendar integration with robust OAuth 2.0 handling, including permissions, token refresh, and encryption.
Context-aware meeting time optimization, adapting scheduling based on meeting type (e.g., investor pitch, warm intro) and user preferences.
Developer tier offering 25 free meetings per month, full API access, webhooks, and MCP support.

Use Cases for Syncline

Syncline is ideal for a variety of applications where automated, intelligent scheduling is crucial. This includes AI networking bots that introduce people and schedule initial meetings, event platforms that automate follow-up meetings between attendees, and sales and recruiting automation systems that schedule demos or interview rounds. It can also power general AI assistants that manage calendars, ensuring efficient and human-like scheduling without manual intervention.

Advantages of Syncline

The primary advantage of Syncline lies in its ability to completely remove the cognitive load associated with scheduling. Unlike traditional tools that require users to browse and pick slots, Syncline’s AI autonomously identifies the optimal time, considering nuanced factors like energy patterns, timezone fairness, and learned preferences. Its self-learning mechanism ensures continuous improvement, making scheduling progressively more accurate and personalized. For developers, Syncline abstracts away the complexities of OAuth, timezone math, and calendar edge cases, significantly accelerating AI agent development and deployment. The native MCP support further simplifies integration for AI agents, allowing for more autonomous and intelligent workflows.

Pricing and Plans

Syncline offers flexible pricing tiers designed to scale with your needs, starting with a generous free option. The Developer tier is free forever, providing 25 meetings per month, full API access, 5 API keys, webhooks, MCP support, and community support—perfect for testing and side projects. Paid plans, which include Founder's Access (40% off for the first 100 customers), are as follows:

Starter: $49/month (or $29/month with Founder's Access) for small teams, offering 250 meetings/month, up to 3 team members, and email support.
Pro: $99/month (or $59/month with Founder's Access) for growing AI agents, including 1,000 meetings/month, unlimited team members, usage analytics, and email support.
Scale: $299/month (or $179/month with Founder's Access) for production deployments, providing 5,000 meetings/month, unlimited team members, advanced analytics, custom domain support, and priority support.
Enterprise: Starting at $1,999/month for unlimited meetings, SAML/SSO, dedicated support, and custom integrations. Contact sales for details.

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Syncline Categories

Api Ai Agent Infrastructure Scheduling Automation

Syncline Tags

AI agent AI scheduling API infrastructure automation auto-scheduling calendar API developer tool google calendar intelligent scheduling LLM integration MCP meeting optimization Model Context Protocol productivity API

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