Comparison
What matters when adding scheduling to your AI agent?
There are several approaches to giving AI agents calendar capabilities. Each solves a different problem and makes different trade-offs. This page helps you find the right fit — even if that's not us.
6 questions to guide your choice
1. Does it work with your agent framework?
MCP support, A2A support, REST API — how will your agent call scheduling tools?
2. Does it handle the hard temporal math?
Timezone conversion, recurring event expansion, DST transitions — or does your agent need to figure these out?
3. Can the other person NOT have your software?
External-party scheduling, backward-compatible messaging, email proposals for people without agents.
4. Is it safe for concurrent agents?
Double-booking prevention, distributed locking, atomic operations when multiple agents book simultaneously.
5. Can you self-host and inspect the code?
Open source licensing, data residency requirements, ability to audit the scheduling logic.
6. What does it cost at scale?
Per-seat, per-booking, or open-source — pricing models vary significantly.
Approaches to scheduling for AI agents
Honest assessments of each category — what they do well, where they fall short, and the trade-offs they make.
Calendar API wrapper
Cronofy
Enterprise calendar API that normalizes CRUD across 8+ calendar providers. Mature, compliance-ready (SOC 2, HIPAA, ISO 27001), with a first-party MCP server. Solves a different problem: calendar data access, not scheduling intelligence.
Strengths
8+ calendar providers, SOC 2 + HIPAA + ISO 27001 compliance, enterprise-proven, first-party MCP server, availability API.
Trade-offs for AI agent use
No deterministic RRULE expansion, no atomic booking with locking, no temporal context tools. The MCP server wraps REST endpoints rather than providing scheduling-native tools. Your agent still needs to handle temporal math and double-booking prevention.
Calendar API wrapper
Nylas
The broadest calendar API on the market with 250+ provider integrations and enterprise compliance. Excels at calendar CRUD at scale. MCP support is experimental.
Strengths
250+ provider integrations, enterprise compliance (SOC 2, HIPAA), mature SDK ecosystem, massive scale.
Trade-offs for AI agent use
API-level calendar access, not scheduling intelligence. No deterministic temporal computation, no atomic booking, no temporal context for agents. Experimental MCP wrapper, not purpose-built agent tools.
Calendar optimization
Clockwise
AI-powered calendar optimization for knowledge workers — finds focus time, reschedules flexible meetings, and optimizes team schedules. Has a first-party MCP server branded 'The MCP Server for Time.' Great for individual productivity, but not developer infrastructure you can embed into your product.
Strengths
Intelligent calendar optimization, focus time protection, team-aware scheduling, first-party MCP server.
Trade-offs for AI agent use
End-user product, not developer infrastructure — you cannot embed Clockwise into your own application. The MCP server reads and optimizes YOUR calendar; it doesn't handle cross-party scheduling or provide tools for agent-driven booking.
End-user scheduling tool
Cal.com
Open-source booking platform for humans sharing scheduling links. Also uses 'Open Scheduling Infrastructure' as a tagline. The distinction: their 'open' means open-source Calendly for humans. Ours means open-protocol infrastructure for AI agents. Different problem, different architecture.
Strengths
Open source (AGPLv3), self-hostable, rich booking UI, extensive integrations, large community.
Trade-offs for AI agent use
Built for humans sharing links, not for AI agents scheduling autonomously. No MCP server, no agent-native tools, no programmatic availability merging, no atomic booking. Cannot be embedded as infrastructure in an AI agent workflow.
Open scheduling infrastructure
Temporal Cortex
Infrastructure layer between calendar APIs and AI agents. Handles the hard parts — deterministic temporal computation, cross-provider availability merging, atomic booking with Two-Phase Commit — so your agent doesn't have to. Open source (MIT/Apache-2.0), self-hostable, accessible via MCP, A2A, REST, and browser.
Strengths
Scheduling intelligence depth (18 tools), open protocols (MCP + A2A), deterministic computation, atomic booking, self-hostable, open source.
Our conscious trade-offs
3 calendar providers (Google, Outlook, CalDAV) vs Nylas's 250+. Enterprise compliance (SOC 2) on roadmap. We chose scheduling depth over provider breadth, covering the 3 providers that represent 95%+ of business calendars.
How does Temporal Cortex compare for personal scheduling?
If you're using AI agents to manage your own calendar, here's how Temporal Cortex compares to what you might be doing today.
What most people do today
Manual back-and-forth
"Are you free Tuesday at 2?" → "No, how about Wednesday?" → "I'm in PST, you said 2pm — whose timezone?" Five emails to book one meeting.
Works because
No setup required. Everyone knows how to send an email.
But
5-10 minutes per meeting, timezone errors, double-bookings when juggling multiple conversations.
Booking link tools
Calendly, Cal.com, SavvyCal
Share a booking link, the other person picks a time. Great for inbound scheduling (clients booking you), but not for outbound (you scheduling with someone else).
Strengths
Polished UI, reminders, integrations. One-click booking for the recipient.
Gaps for AI agent use
No MCP tools — your agent can't use it. Only one direction (inbound). Can't merge availability across multiple calendars for outbound scheduling.
Built-in calendar AI
Apple Intelligence, Google Calendar AI
Platform-native scheduling suggestions. Locked to one provider — Apple only sees iCloud, Google only sees Google Calendar.
Strengths
Zero setup, deeply integrated into the OS/browser. Free.
Gaps
Single-provider only — can't see across Google + Outlook + iCloud. No MCP/A2A support. No open scheduling network. Proprietary, no self-hosting.
Open scheduling infrastructure
Temporal Cortex for Individuals
Your AI agent manages all your calendars — Google, Outlook, iCloud (via CalDAV) — in one unified view. It finds free slots, prevents double-bookings, and schedules with anyone, whether they have an agent or not.
What you get
Multi-calendar merging, atomic booking (never double-book), deterministic timezone math, Temporal Links for sharing availability, Open Scheduling network. Works with Claude Desktop, Cursor, and any MCP client.
Our trade-offs
Requires an MCP-compatible AI agent (Claude Desktop, Cursor, etc.). No standalone mobile app. Open-source core is CLI-based — managed platform adds the dashboard UI.
Feature comparison
Features that matter specifically for AI agent scheduling. We include rows where competitors are stronger — honest comparison builds trust.
| Feature | Temporal Cortex | Cronofy | Nylas | Clockwise | Cal.com |
|---|---|---|---|---|---|
| Calendar provider coverage | 3 | 8+ | 250+ | 2 | 6+ |
| Enterprise compliance (SOC 2, HIPAA) | Roadmap | ✓ | ✓ | ✗ | ✗ |
| MCP server | ✓ | ✓ | Partial | ✓ | ✗ |
| A2A protocol support | ✓ | ✗ | ✗ | ✗ | ✗ |
| Deterministic temporal math | ✓ | ✗ | ✗ | ✗ | ✗ |
| Atomic booking (Two-Phase Commit) | ✓ | ✗ | ✗ | ✗ | ✗ |
| Open source (MIT / Apache-2.0) | ✓ | ✗ | ✗ | ✗ | Partial |
| Self-hostable | ✓ | ✗ | ✗ | ✗ | ✓ |
| Backward-compat messaging (email proposals) | ✓ | ✗ | ✗ | ✗ | ✗ |
| Cross-provider availability merging | ✓ | Partial | ✗ | ✗ | ✗ |
We honestly show where Cronofy and Nylas are stronger (provider coverage, compliance). We chose scheduling depth over provider breadth — covering Google, Outlook, and CalDAV (95%+ of business calendars).
Frequently asked questions
What's the difference between a calendar API and scheduling infrastructure?
Calendar APIs (Nylas, Cronofy) normalize CRUD operations across providers — they read and write events. Scheduling infrastructure (Temporal Cortex) adds the intelligence layer on top: deterministic temporal computation, cross-provider availability merging, atomic booking with Two-Phase Commit, and protocol negotiation (MCP, A2A, REST). Think of it as: calendar APIs handle the data, scheduling infrastructure handles the decisions.
Does Temporal Cortex only work with MCP?
No. Temporal Cortex supports 4 protocols: MCP for agent-tool integration, A2A (Agent-to-Agent) for cross-agent scheduling negotiation, REST API for embedding into products, and browser-based Temporal Links for human booking pages. The same scheduling tools are accessible through whichever protocol fits your architecture.
Why does Temporal Cortex only support 3 calendar providers when Nylas supports 250+?
A conscious trade-off. We chose scheduling intelligence depth over provider breadth. Google Calendar, Microsoft Outlook, and CalDAV cover 95%+ of business calendars. Rather than building thin integrations with hundreds of providers, we invested in deterministic temporal computation, atomic booking, and cross-provider availability merging — the hard scheduling problems that no calendar API solves. Provider coverage is straightforward to expand; scheduling intelligence is not.
How does Temporal Cortex compare to Clockwise?
Clockwise optimizes individual knowledge workers' calendars — finding focus time, rescheduling flexible meetings. It's an end-user product, not developer infrastructure. You can't embed Clockwise into your own AI agent or product. Temporal Cortex is infrastructure: you build the agent, we handle the calendars. Different problems, different architectures.
What's the difference between Temporal Cortex and Cal.com?
Both use 'open scheduling' language, but solve different problems. Cal.com is an open-source Calendly — booking pages for humans sharing links. Temporal Cortex is open-protocol infrastructure for AI agents scheduling autonomously. Cal.com's users are people picking meeting times; Temporal Cortex's users are developers building AI agents that schedule on their behalf.
Add scheduling to your AI agent in 10 seconds
Open source. No account required. 18 tools, 5 layers, 4 protocols.
Questions? GitHub Issues are open.