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Read Read AI meeting transcripts, summaries and action items.
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The Read AI MCP server connects your Read AI meeting history — transcripts, summaries, action items, key questions and engagement metrics — to Claude, ChatGPT and any MCP-compatible agent. Anthropic's directory lists two read tools. Read AI's own documentation describes four, and the two it omits both write. Sign-in is OAuth 2.1.
Verified connector
Listed by Anthropic as a partner connector in its Connectors Directory.
Connection checked by Agentman on .
Anthropic states this reflects the level of review a connector received, not a security audit.
Tool names from Anthropic's directory listing. This server requires sign-in, so we could not read tool descriptions or parameter schemas.
"permissions": "Read". Read AI documents four tools, and the two missing ones dispatch a recording bot and email a meeting report to a named person. Do not size this connector's risk from the directory entry.tools/list response, no parameter schemas and no safety annotations. Whether the deployed server exposes two tools or four is unresolved from outside.mcp:execute is an undifferentiated grant. One of seven advertised scopes names a resource, and it is the read one. Nothing at the OAuth grant separates reading a transcript from sending a bot into a live call or emailing a report externally.list_meetings caps at 10 meetings per page.help_center JSON API, which Read AI's llms.txt nominates for exactly this purpose.Read AI documents four; Anthropic's directory lists two. The directory names get_meeting_by_id and list_meetings, both reads. Read AI's own MCP Server article adds Create meeting agent and Share meeting report, numbered 3 and 4 on the same page. The two the directory omits are the only two that write.
Yes, per Read AI's documentation, though Anthropic's listing does not show that tool. Read AI documents a Create meeting agent tool that dispatches a Read AI bot to a Zoom, Google Meet or Microsoft Teams meeting from a join link, optionally scheduled for a future time. Anthropic's directory lists only the two read tools.
In web mode yes, in desktop mode no. Read AI states that in web mode the bot appears in the participant list, may announce itself in chat, and any attendee can type Opt Out to end recording and delete that session's data. In desktop and mobile mode audio is captured locally, no bot appears, and those commands do not work.
Read AI documents a Share meeting report tool that grants a named email address viewer or editor access and sends an invite. Read AI states that if the recipient has no account an email-based invite is created for them, and that a notify flag defaults to yes. Anthropic's directory does not list this tool.
Seven, of which two are functional. Read AI's RFC 9728 descriptor advertised openid, profile, email, offline_access, offline, mcp:execute and meeting:read on 2026-08-23. Only meeting:read names a resource. The write tools Read AI documents can only fall under mcp:execute, which names no object and separates nothing.
Full transcripts with speaker attribution, plus participant names and email addresses. Read AI documents the meeting object as carrying participants with name, email, invited and attended flags, an owner record, engagement metrics, and a URL to download the recording as an MP4. Those participants include people outside your company.
Yes, if Global Report Access is enabled. Read AI states that workspace owners and admins granted this setting can retrieve data for all meetings in their workspace through the REST API and MCP server, and warns to use it with caution as it could expose sensitive information. Without it, a user sees only their own reports.
Read AI documents 100 requests per minute per user, returning HTTP 429 when exceeded. It also documents access tokens expiring after 10 minutes and single-use refresh tokens that rotate on each refresh, and warns this may require manual intervention if token chains break. Both API and MCP server are in open beta.
help_center JSON API after the HTML returned HTTP 403 to our client; article last updated 2026-08-19). Source of the four-tool enumeration. · retrieved 2026-08-23llms.txt (retrieved 2026-08-23). Nominates the help_center JSON API as the canonical machine-readable source and permits contextual explanation of Read AI's products while prohibiting model training; support.read.ai/robots.txt permits /hc/en-us/articles/. · retrieved 2026-08-23www-authenticate Bearer challenge naming https://api.read.ai/.well-known/oauth-protected-resource/mcp; that descriptor and the authorization server metadata at https://authn.read.ai/.well-known/oauth-authorization-server were both read (2026-08-23). Three control paths, including a nonsense resource path, all returned matching HTTP 404 JSON, so the descriptor is genuine rather than a catch-all. · retrieved 2026-08-23Connect Read AI once and your agents call these tools on their own: on a schedule, in a workflow, with nobody at the keyboard.