iCal Calendar Parser MCP for AI. Analyze your schedule using local exported files.
Works with every AI agent you already use
…and any MCP-compatible client








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iCal Calendar Parser lets your AI client read and analyze local .ics calendar files. Instead of trying to access live accounts, you export your schedule from Google, Apple, or Outlook.
This MCP reads that file and gives the AI a clean JSON timeline containing every event's title, time, location, and attendees.
Use this to find free slots, count meetings for a month, or quickly search for specific dates without needing network access.
What your AI can do
Parse ical calendar
Reads a local .ics calendar file path (from Google, Apple, or Outlook) and outputs all events into structured JSON data.
The AI scans the timeline to calculate gaps between meetings, telling you exactly when you're free.
You can ask your agent to count how many meetings occurred in a specific month or group them by day of the week.
The MCP extracts and organizes key data points, including titles, locations, and attendee lists for every entry.
Search the entire calendar file for events containing keywords, like 'dentist' or a client name.
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iCal Calendar Parser: 1 Tool Available
You can parse calendar files and extract clean, usable JSON event data with the single tool available here.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using iCal Calendar Parser on VinkiusParse Ical Calendar
Reads a local .ics calendar file path (from Google, Apple, or Outlook) and outputs all events into structured JSON data.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Keeping Track of Time Zones and Conflicts
Today, figuring out if you have enough time for three back-to-back calls is painful. You open Google Calendar, check the time zone settings; then you jump to Outlook to see if a meeting was moved; next, you might look at an old email thread just to confirm who’s attending. It's copy-pasting dates and manually comparing times across multiple screens.
With this MCP, you export your schedule once into the .ics file format. Your agent reads that single source of truth using `parse_ical_calendar` and immediately hands you a timeline in JSON. You don't check three apps; you ask one question and get an answer.
Structured Calendar Data with parse_ical_calendar
The biggest time drain is the data format itself. Manually, you might spend minutes digging through a meeting entry just to confirm who was invited or what the exact end time was. You're dealing with text that’s hard for any system to query reliably.
This MCP strips away all that ambiguity. It gives your agent clean JSON fields for title, start/end times, and attendees. The difference is moving from descriptive text to actionable data points.
What your AI can actually do with this
Your agent can’t just look at your calendar; it has to read the file you give it. That’s the problem iCal Calendar Parser solves. You export your schedule—whether from Google Calendar, Apple Calendar, or Outlook—as a standard .ics file. This MCP reads that exported data and turns every single meeting into structured JSON.
The AI can then instantly analyze this timeline to answer questions like, “When is my first opening next week?” or “How many client calls did I have last quarter?” You get back clean, sortable data without ever exposing your live account details. Vinkius hosts this MCP so you can connect it once from any compatible agent and access structured scheduling data instantly.
019e38ac-a4eb-7233-8e64-730c05504545 Here's how it actually works
The bottom line is you give it an export file, and it gives the AI perfectly organized data points for querying.
First, export your full calendar schedule from Google Calendar, Apple Calendar, or Outlook into a single .ics file. You must provide the absolute path to this local file.
Your AI client invokes the parse_ical_calendar tool, pointing it to that exported file location. The MCP runs the parser and extracts all event data offline.
The result is a clean, chronologically sorted JSON structure delivered back to your agent. You can then prompt your agent with complex questions about this structured timeline.
Who is this actually for?
Project Managers who struggle with coordinating across multiple time zones. Operations Analysts needing to audit resource capacity. Executive Assistants tired of manually cross-checking availability.
Uses this MCP to feed a single source of truth (the .ics file) into their agent, letting it find conflict windows when scheduling follow-ups for multiple team members.
Feeds in historical calendar data to count meeting frequency or identify trends, allowing them to report on resource utilization rates.
Sends the agent a local export file and asks it to summarize all client-facing meetings for review before a quarterly board meeting.
What Changes When You Connect
Instant Conflict Resolution: By parsing the file, you can ask your agent to check for time conflicts across multiple days in one go. It's much faster than manually looking at dates and times.
Universal Compatibility: This MCP handles standard .ics exports from Google Calendar, Apple Calendar, and Outlook. You don't need a specific connector—just the file.
Privacy First: Because this process requires you to provide an absolute local file path, your personal schedule data never leaves your machine. It’s 100% air-gapped.
Structured Data Output: The tool converts messy calendar entries into clean JSON, letting your agent reliably count meetings or pull out specific attendee names without guessing the structure.
Efficiency for Reporting: Instead of manually compiling a list of all events for a month, you send the file and let the MCP summarize it instantly.
See it in action
Finding a time slot with 3 people
A PM needs to schedule a review. They ask their agent: 'Using my calendar export, find three open slots next week when both John and Sarah are free.' The agent uses parse_ical_calendar to analyze the data and suggests available times.
Auditing meeting load
An analyst wants to report on Q3 activity. They ask: 'How many client meetings did I have this quarter, grouped by month?' The agent uses parse_ical_calendar to count and categorize the events from the exported file.
Checking for specific contacts
A user needs to find every meeting mentioning a particular client. They ask: 'Show me all appointments that include the word 'dentist' in my calendar export.' The agent queries the structured JSON output directly.
Generating weekly summaries
Before leaving for vacation, an executive wants to know their workload. They ask: 'Generate a summary of all meetings and attendees for next week,' allowing the agent to pull details from the parsed calendar data.
The honest tradeoffs
Assuming live access
Asking the AI client, 'What's on my calendar right now?' without providing a file path.
You must first export your schedule and provide the absolute local file path to parse_ical_calendar. This MCP requires a static file input; it cannot read live cloud accounts.
Asking for raw text output
Prompting: 'Just tell me what's on my calendar.' — this yields unmanageable, unstructured paragraphs.
Always ask your agent to analyze the structured JSON data. For instance, prompt it to 'Find all meetings between 2 PM and 4 PM,' forcing a specific analysis.
Overlooking file scope
Providing an .ics file that only contains one day's events when you need a whole week's summary.
Ensure your initial export covers the entire time frame you want analyzed. The MCP can only analyze what is contained within the specific file provided to parse_ical_calendar.
When It Fits, When It Doesn't
Use this MCP if your primary need is static analysis of a schedule—you have an exported, non-changing .ics file and you need structured data to count meetings or find time slots. Don't use it if you require real-time sync; this tool won't pull events from Google Calendar in real-time. For live updates, you'd need a different cloud integration type of MCP. If your goal is simply to list contacts, that requires a namebook API rather than calendar parsing.
Questions you might have
How do I export my Google Calendar? +
Go to calendar.google.com > Settings > Import & Export > Export. It downloads a .zip containing .ics files for each calendar.
Can it detect scheduling conflicts? +
Yes! Because events are sorted chronologically with start/end times, the AI can easily spot overlapping events and alert you.
Does it include recurring events? +
Yes, the parser expands recurring events according to the iCal RRULE specification, so each individual occurrence appears as its own entry.
When I run `parse_ical_calendar`, is my personal calendar data sent over the internet? +
No, your schedule never leaves your machine. This MCP processes files locally, keeping your private events entirely air-gapped and secure.
Does `parse_ical_calendar` work if my .ics file contains more than 200 events? +
The parser is capped at processing the first 200 events. For larger exports, you'll need to break them into smaller files or run the tool in batches.
What happens if my calendar export file has minor formatting errors? +
The parser handles common structural issues and attempts to extract valid data points. If an event is completely corrupted, it simply skips that entry and continues processing.
How does `parse_ical_calendar` handle different time zones from my calendar? +
The resulting JSON includes detailed time zone information for every event's start and end times. This ensures your AI agent understands when those meetings actually take place.
What types of files can I pass to `parse_ical_calendar`? +
You must provide an absolute file path pointing to a standard .ics calendar export. The tool does not read directly from live online services; you must download the file first.
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