State of SaaS Integration: 2025 Outlook
In this whitepaper, we discuss all about SaaS integrations: types, trends, forecast and examples. Read on to explore and understand the SaaS integration market
Knit's Google Meet MCP Server gives your AI agents instant, code-free access to every Google Meet API endpoint-read, write, and automate without OAuth headaches or custom endpoints.
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Deploy only the API tools you need from any app in a single lightweight server — no bloat, no duplication.
Expose custom endpoints as AI-ready tools alongside Knit's catalog, unifying proprietary logic and third-party apps in one place.
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Every action below is real and already live — not a roadmap item. Browse the full API reference →
This API creates a new meeting with specified details such as title, start time, duration, participants, and host information. The request body must include the title, startDateTime, and durationInSeconds as required fields. Participants and host details can also be provided, including their email addresses, which are required. Optional fields include meetingProviderURL, language, and metaData. The API returns a unique meetingId for the newly created meeting.
This API retrieves comprehensive meeting details for a specified time range. It allows filtering of meetings based on optional parameters such as pagination cursor (pageToken), start and end date/time (startDateTime and endDateTime), and user IDs (userIds). The response includes detailed information about each meeting, such as the meeting ID, title, participants, scheduled and actual start/end times, duration, download URL, calendar event ID, language, host details, agenda, meeting type, and media type. This API is useful for obtaining a complete overview of meetings within a specified timeframe.
The 'Get Transcript For A Meeting' API retrieves the full transcript for a specified meeting. It requires a 'meetingId' as a query parameter to identify the meeting. The response includes an array of 'meetingTranscripts', each containing a 'speakerId' and an array of 'sentences'. Each sentence has a 'start' and 'end' timestamp in ISO 8601 UTC format and the 'text' of the sentence.
This API retrieves comprehensive details of a meeting given its ID. It includes information such as the meeting title, participants, scheduled and actual start times, duration, download URL for the recording, language, host details, agenda, and whether the meeting is internal or external. The request requires a 'meetingId' as a query parameter to identify the meeting. The response provides a detailed JSON object with all the meeting information.
This API retrieves a list of all users in the system. It accepts an optional query parameter 'pageToken' for pagination. The response includes a 'pageToken' for the next set of records and a list of users with details such as user ID, first and last names, emails, phone numbers, title, role, language, creation and last login timestamps, team IDs, manager ID, active status, and personal meeting URLs.
The Get Transcript Metadata for a Meeting API retrieves metadata for a given meeting transcript. It requires the meeting ID as a mandatory query parameter and optionally accepts a transcript ID to specify which transcript's metadata is needed. The response includes an array of meeting transcripts, each containing the transcript ID, URL, and text content.
This API retrieves the details of a user based on the provided user ID. The request requires a path parameter 'userId' which is the ID of the user whose details are being fetched. The response includes detailed information about the user such as their ID, first and last name, emails, phone numbers, title, role, language, creation and last login timestamps, team IDs, manager ID, active status, and personal meeting URLs.
The 'Delete an Existing Meeting' API allows users to delete a meeting by specifying the meeting ID in the path parameters. This API does not require any headers, query parameters, or request body. Upon successful deletion, the API does not return any response body.
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Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
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Yes — the Google Meet MCP Server is live and already built, not a roadmap item. It exposes Google Meet's real actions as AI-ready tools your agent can call directly.
Yes. Its actions cover both reads and writes, so your agent can pull data from Google Meet and push updates back to it, not just query it.
Knit manages Google Meet's OAuth, credential storage, and refresh for you — there's no auth to configure yourself before your agent can start calling tools.
Knit absorbs it. We maintain and update the Google Meet connector on our end, so the MCP Server keeps working without you tracking Google Meet's changelog.
No. Knit acts as a stateless passthrough — data is processed on our application server and returned directly to your agent, without being stored on Knit's servers.
You choose the model that fits your business — pricing based on integrated accounts, or based on API call volume. Every plan includes a 30-day free trial before billing starts.
Yes — this MCP server exposes Google Meet's actions as tools your AI agent can call directly, the same underlying capability previously offered as a standalone LLM Tool integration. MCP is the protocol; the tool-calling access is the same.
Yes — any MCP-compatible client or agent framework can connect to this server and call its exposed actions, regardless of which underlying LLM is driving the agent.
In this whitepaper, we discuss all about SaaS integrations: types, trends, forecast and examples. Read on to explore and understand the SaaS integration market
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