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Choose the route by who owns the workflow.
- Use REST API and webhooks when your backend must react to meeting events and control what happens next.
- Use MCP when an MCP-capable AI client should search and read meeting context during an agent interaction.
- Use a destination connector when the job is simply to publish reports into another app.
- For a first prototype, prove the right workspace and access scope before building downstream actions.
An internal-agent prototype needs an explicit owner for retrieval and orchestration. Tiro MCP exposes meeting context to an AI client through tools; Tiro’s REST API with webhooks places event handling and retrieval in your backend. An app-to-app connector handles a separate destination task, such as placing a meeting report in a project wiki.
The prototype routes follow the linked developer guides. Validate workspace access and retrieval in the intended AI client before adding downstream effects; the sequence below is an implementation plan for that test.
Meeting notes destination vs. agent context: two different jobs
A destination integration sends a meeting report or action items to another app for later use. An agent-context integration makes meeting information available for a client to retrieve while it handles a request. A team that wants both may use both kinds of workflow, but the first prototype should target one clear outcome.
Tiro’s developer quickstart draws the key implementation line: call the REST API from a backend, or connect the MCP server to an AI client such as Claude or ChatGPT. The Model Context Protocol specification describes hosts as applications that initiate connections, clients as connectors inside those applications, and servers as services that provide context and capabilities. An MCP tool is a function the AI model can invoke through that client-server connection.
If an engineer wants an agent to answer, “What risks did we flag in the design review?”, the agent needs to search and read meeting context. If the goal is to publish the approved decisions into a project record, the system needs a destination-writing workflow. The answers may be linked, but they are not the same integration problem.
A prebuilt connector can be a better fit when the desired result is a report in an existing work app, with little custom agent logic. For example, Read’s Notion integration documentation describes manually pushing selected meeting reports and updates into Notion. That route suits teams that want a person to choose what to share and when. An internal agent that must retrieve selected Tiro notes as task context has a different job.
When a backend-owned REST API and webhook workflow fits
REST API plus webhooks fits situations where your service owns the process from event to outcome. A webhook notifies your endpoint that something happened; your backend then decides whether to retrieve meeting content, transform it, store it, or pass it to another system.
TABLE / Scroll horizontally for all columns →
| Decision criterion | Tiro REST API and webhooks | Tiro MCP server |
|---|---|---|
| Orchestration owner | Your backend receives an event and runs application logic. | The connected AI client invokes Tiro tools as part of an agent interaction. |
| Trigger | A registered endpoint receives an HTTP POST when a Tiro event occurs. | The client uses tools to search or read notes in response to an agent task. |
| Meeting content | Webhook payloads carry metadata; fetch larger content, such as transcripts, from the separate APIs. | The client can search notes and read transcripts and summaries through the server’s tools. |
| Best fit | A team needs event-driven processing, custom rules, or a service-controlled handoff. | A team needs an agent in a supported client to retrieve meeting context directly. |
| Access setup | An API key carries the identity and permissions of its key type. | Use OAuth for interactive clients or an API key for headless tools, with the selected scopes controlling available tools. |
Tiro’s webhook overview says that a registered endpoint receives an HTTP POST when an event occurs, so the application can respond without polling. Its event example includes an event ID, type, workspace identifier and resource details. The same documentation says events carry metadata and usually remain under a few hundred kilobytes; larger material such as transcripts and scripts comes from separate APIs.
That design works well for a flow such as: a new meeting note triggers an event, the backend checks whether it belongs in a project workflow, and a worker fetches the summary or transcript needed for the next step. For example, a product team could route design-review decisions into its internal issue-triage process.
Tiro’s webhook guide says webhook requests use a secret key in the Authorization header; its verification example returns HTTP 401 when verification fails.
Use the REST API when the backend needs to make these choices. It also distinguishes account, workspace and organization API keys: an account key carries the user’s identity and permissions across workspaces the user can access, while workspace and organization keys are limited to their respective boundaries. That difference matters when the service’s allowed meeting scope should track a specific workspace or an organization.
When MCP is the better route for an internal agent
MCP is worth evaluating when a supported AI client should retrieve meeting context through tools, rather than having your application build and own the retrieval interface. Tiro’s MCP overview says a connected client can search notes, read transcripts and summaries, and explore the wiki in plain language. In a prototype, that can let an employee ask an agent about a previous meeting and receive an answer based on retrieved notes.
MCP has a different control point from a backend API call. The model decides when to call a tool exposed by its client; the server provides the tool and the data or capability behind it. The MCP specification’s authorization guidance covers HTTP-based transports and defines how clients and servers handle authorization. For a remote MCP service, the client must support the connection transport and the relevant authorization behavior. In the specification’s OAuth flow, a client must handle authorization challenges such as HTTP 401 responses and use resource information to request a token for the intended server.
Tiro’s client setup documentation lists setup instructions for Claude, ChatGPT, Codex and Cursor, and specifies the Tiro server at https://mcp.tiro.ooo/mcp over streamable HTTP. The same guide explains the authentication choice: OAuth is for interactive clients, while API keys are suitable for headless tools. A client that cannot connect to this remote server using the required transport and an available authentication path will need a different integration route, such as a backend API.
For an interactive prototype, OAuth keeps the user in the authorization flow and lets them select the access granted during connection. Tiro’s scope guide says the client sees only tools allowed by the selected scopes. The note-read scope includes note metadata, summaries and transcripts. The OAuth consent flow offers None or Read for notes and folders; the documented MCP tools are read-only, and the guide says its write scopes do not map to an MCP tool. That makes MCP suitable for retrieving context and answering questions, while a workflow that must write an action into another service still needs an authorized write path there.
For a non-interactive job, the Tiro setup guide supports API-key authentication. Treat that key as an application credential and choose its scope deliberately. A user-scoped key follows the user’s accessible notes across workspaces, including private folders the user can access; a workspace-scoped key is confined to its connected workspace and notes in folders shared with all workspace members. A service that needs a narrow, workspace-bound view should use a credential with that matching boundary.
Choose the route by owner, trigger and client
MCP makes sense when the AI client is the place where a developer tests tool-mediated retrieval. REST API and webhooks make sense when an application service should receive events and decide what data to retrieve or what process to start. A prebuilt destination connector makes sense when humans want to place reports in a familiar app without building an agent workflow.
TABLE / Scroll horizontally for all columns →
| Your prototype requirement | Recommended route | First proof of success |
|---|---|---|
| Let an employee ask an internal agent about a prior meeting in an MCP-capable client. | Tiro MCP | Connect the client, authorize the needed read scopes, search for a known note, then retrieve its summary or transcript. |
| Start a controlled backend process when a note event occurs. | Tiro REST API plus webhooks | Receive a registered event, verify and enqueue it, then retrieve the referenced content through the API. |
| Put selected reports into a team’s knowledge base for later browsing. | A destination connector, such as Read’s documented Notion workflow | Confirm that the integration’s manual sharing step and destination match the team’s publishing process. |
| Run a headless service that retrieves meeting context on a schedule or as part of another job. | Tiro REST API, or MCP with an API key if the tool-based interface fits the client | Confirm the credential’s workspace reach and test the same note retrieval with the service identity. |
Notes live in workspaces, so list the workspaces reachable by that credential with GET /v1/external/workspaces, select the intended workspace’s guid, and pass it as workspaceGuid in note requests. The quickstart specifies the workspace-scoped notes route and marks the workspace-free notes endpoint deprecated, even when an account has just one workspace.
For an MCP-first test, follow the client’s connection instructions, complete its OAuth flow or configure an API key for a headless environment, then verify the connection and available tools. Tiro’s agent install guide describes adding a tiro server entry pointed at https://mcp.tiro.ooo/mcp, completing OAuth for an interactive client, and calling auth_status to check the connection and available tools. Test with a note whose workspace and expected access are known before asking the agent to act on real project context.
- Name the output: an answer using meeting context, a backend-triggered process, or a note published to another app.
- Choose who orchestrates: the AI client, your backend, or the existing destination connector.
- Select identity and scope: use a credential whose workspace and folder access matches the intended records.
- Test retrieval before actions: confirm that the agent or worker can find the expected note and read the needed content.
- Add downstream effects after retrieval works: route only the selected content to the target system, with the receiving system’s access rules in mind.
Keep the first prototype bounded: connect one client, confirm its workspace access, and retrieve one expected note. Add backend event handling and downstream rules as a separate milestone, or test a destination connector against its intended knowledge-base location. Each milestone should produce a clear access and retrieval result.
FAQ
Can an MCP client update Tiro notes or create follow-up actions?
Tiro’s documented MCP tools are read-only. The setup guide says the write scopes do not currently map to an MCP tool, so use MCP for retrieving context and handle write actions through an authorized API or destination workflow.
Does a webhook contain the whole meeting transcript?
No, Tiro webhook events carry metadata. The webhook documentation directs applications to retrieve larger content, including transcripts and scripts, through the separate APIs.
Should I use an account API key for every backend integration?
Choose the key type by the intended access boundary. Tiro says an account key carries the user’s identity and permissions across workspaces the user can access; a workspace key stays within that workspace, and an organization key stays within workspaces in its organization.
If the client supports MCP, is setup automatic?
The client still needs a compatible connection and authorization path. Tiro’s documentation provides per-client setup steps for its remote streamable-HTTP server, with OAuth for interactive clients and API keys for headless tools.