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Read AI
Read AI
Read AI is an AI-powered meeting intelligence platform that joins Zoom, Microsoft Teams and Google Meet calls as an authorized notetaker and turns them into structured meeting reports — summaries, chapter summaries, action items, key questions, topics, full speaker-attributed transcripts and engagement metrics — plus enterprise search across email, messaging and calendar. Founded in 2021 in Seattle by the team behind Placed and Foursquare, it reports more than five million monthly active users. For developers, Read AI ships an open-beta public REST API at api.read.ai (v1 meetings, live meetings, cursor pagination, expandable fields), a remote Model Context Protocol server at api.read.ai/mcp listed in the Anthropic and ChatGPT connector directories, HMAC-signed user and workspace webhooks, three provider-authored downloadable Agent Skills, and an OAuth 2.1 authorization server with dynamic client registration. It publishes no OpenAPI.
Read AI publishes 2 APIs on the APIs.io network. Tagged areas include Company, Meeting Intelligence, Artificial Intelligence, Transcription, and Productivity.
The Read AI catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Read AI’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 25 more developer resources.
2 APIs
1 MCP Servers
Company Meeting Intelligence Artificial Intelligence Transcription Productivity Collaboration Model Context Protocol Agents Webhooks SaaS
On this page
Kin Score
APIs 2
MCP Servers 1
Pricing Plans 1
Rate Limits 1
Event Specs 1
Security Posture 4
Scopes 1
Resources 32
apis.yml
50 Operational Transparency
Composite quality — 61.5/100 · strong
Contract Quality
12.9 / 25
Developer Ergonomics
13.5 / 20
Commercial Clarity
18.4 / 20
Operational Transparency
6.5 / 13
Agent readiness — 53/100 · agent ready
Machine-Readable Contract
18 / 18
Agentic Access Contract
0 / 10
MCP Server
12 / 12
Machine-Readable Auth
10 / 10
Idempotency
0 / 9
Stable Error Semantics
8 / 8
Request/Response Examples
0 / 7
Rate-Limit Signaling
7 / 7
Typed Event Surface
6 / 6
Agent Skills
5 / 5
Well-Known Catalog
0 / 4
Consent & Bot Identity
0 / 3
A2A Agent Card
0 / 8
Dry-Run / Simulate Mode
0 / 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Model Context Protocol servers that expose these APIs to AI agents.
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
OAuth scopes governing access to this provider's APIs.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
aid: read-ai
name: Read AI
description: Read AI is an AI-powered meeting intelligence platform that joins Zoom, Microsoft Teams and Google Meet calls
as an authorized notetaker and turns them into structured meeting reports — summaries, chapter summaries, action items,
key questions, topics, full speaker-attributed transcripts and engagement metrics — plus enterprise search across email,
messaging and calendar. Founded in 2021 in Seattle by the team behind Placed and Foursquare, it reports more than five million
monthly active users. For developers, Read AI ships an open-beta public REST API at api.read.ai (v1 meetings, live meetings,
cursor pagination, expandable fields), a remote Model Context Protocol server at api.read.ai/mcp listed in the Anthropic
and ChatGPT connector directories, HMAC-signed user and workspace webhooks, three provider-authored downloadable Agent Skills,
and an OAuth 2.1 authorization server with dynamic client registration. It publishes no OpenAPI.
url: https://raw.githubusercontent.com/api-evangelist/read-ai/refs/heads/main/apis.yml
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-05'
modified: '2026-08-05'
tags:
- Company
- Meeting Intelligence
- Artificial Intelligence
- Transcription
- Productivity
- Collaboration
- Model Context Protocol
- Agents
- Webhooks
- SaaS
apis:
- name: Read AI REST API
description: Open-beta public REST API for programmatic access to a user's Read AI meeting data. Three documented meeting
endpoints — list meetings with cursor pagination and epoch-millisecond time filters, retrieve a meeting by ULID, and retrieve
live data for an in-progress meeting — plus an expand[] projection covering summary, chapter_summaries, action_items,
key_questions, topics, transcript, metrics and recording_download. Read-only; every documented operation is a GET. Bearer-token
authenticated via OAuth 2.1 with dynamic client registration.
humanURL: https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference
baseURL: https://api.read.ai/
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Meetings
- Transcription
- Meeting Intelligence
- REST
properties:
- type: Documentation
url: https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference
- type: APIReference
url: https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference
- type: GettingStarted
url: https://support.read.ai/hc/en-us/articles/49379985941523-Read-AI-API-and-MCP-Overview
- type: Authentication
url: authentication/read-ai-authentication.yml
- type: OAuthScopes
url: scopes/read-ai-scopes.yml
- type: ErrorCatalog
url: errors/read-ai-problem-types.yml
- type: RateLimits
url: rate-limits/read-ai-rate-limits.yml
- type: Conventions
url: conventions/read-ai-conventions.yml
- type: DataModel
url: data-model/read-ai-data-model.yml
x-evidence:
verified: '2026-08-05'
docs_describe: Method + path, query parameters, request examples, response examples, pagination contract and an error-code
table for GET /v1/meetings, GET /v1/meetings/{id} and GET /v1/meetings/{id}/live.
endpoint_check: GET https://api.read.ai/v1/meetings -> 401 {"detail":"Not authenticated"}
openapi: None published. /openapi.json, /docs and /redoc are 301-redirected by the ALB to https://www.read.ai/; /openapi.yaml,
/swagger.json, /v1/openapi.json, /api-docs return {"detail":"Not Found"}.
- name: Read AI MCP Server
description: First-party remote Model Context Protocol server exposing a user's Read AI meeting reports to any MCP client
over Streamable HTTP. Two published tools — list_meetings and get_meeting_by_id — return meeting metadata, participants,
summaries, chapter summaries, action items, key questions, topics, full transcripts, metrics and a recording download
URL. Listed in the Anthropic connector directory and the ChatGPT app directory; protected by OAuth 2.1 with RFC 9728 protected-resource
metadata and the mcp:execute and meeting:read scopes.
humanURL: https://support.read.ai/hc/en-us/articles/49381158409491-MCP-Server
baseURL: https://api.read.ai/mcp
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Model Context Protocol
- Agents
- Meetings
properties:
- type: MCPServer
url: mcp/read-ai-mcp.yml
- type: ToolCrosswalk
url: mcp/read-ai-tool-crosswalk.yml
- type: Documentation
url: https://support.read.ai/hc/en-us/articles/49381158409491-MCP-Server
- type: Authentication
url: authentication/read-ai-authentication.yml
x-evidence:
verified: '2026-08-05'
docs_describe: Server URI, transport, OAuth 2.1 authentication, compatible clients, and the two available tools with the
data each returns.
endpoint_check: 'POST https://api.read.ai/mcp (initialize) -> 401 invalid_token with WWW-Authenticate resource_metadata=
https://api.read.ai/.well-known/oauth-protected-resource/mcp (server: uvicorn)'
tools_list: OAuth-gated; tool names taken from Read AI's own published skill bundles.
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- type: DomainSecurity
url: security/read-ai-domain-security.yml
- type: Website
url: https://www.read.ai/
- type: DeveloperPortal
url: https://support.read.ai/hc/en-us/sections/49378920415891-API-and-MCP
- type: Documentation
url: https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference
- type: APIReference
url: https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference
- type: GettingStarted
url: https://support.read.ai/hc/en-us/articles/49379985941523-Read-AI-API-and-MCP-Overview
- type: Support
url: https://support.read.ai/hc/en-us
- type: Blog
url: https://www.read.ai/blog
- type: GitHubOrganization
url: https://github.com/Read-AI-Inc
- type: Pricing
url: https://www.read.ai/plans-pricing
- type: SignUp
url: https://app.read.ai/
- type: TermsOfService
url: https://www.read.ai/tos
- type: PrivacyPolicy
url: https://www.read.ai/privacy-policy
- type: TrustCenter
url: security/read-ai-trust-center.yml
- type: Compliance
url: https://support.read.ai/hc/en-us/articles/25702259763091-Security-Privacy-Overview
- type: StatusPage
url: https://status.read.ai/
- type: Integrations
url: https://www.read.ai/integrations
- type: LLMsTxt
url: llms/read-ai-llms.txt
- type: WellKnown
url: well-known/read-ai-well-known.yml
- type: MCPServer
url: mcp/read-ai-mcp.yml
- type: ToolCrosswalk
url: mcp/read-ai-tool-crosswalk.yml
- type: AgentSkill
url: skills/_index.yml
- type: Authentication
url: authentication/read-ai-authentication.yml
- type: OAuthScopes
url: scopes/read-ai-scopes.yml
- type: Conventions
url: conventions/read-ai-conventions.yml
- type: ErrorCatalog
url: errors/read-ai-problem-types.yml
- type: RateLimits
url: rate-limits/read-ai-rate-limits.yml
- type: Lifecycle
url: lifecycle/read-ai-lifecycle.yml
- type: Conformance
url: conformance/read-ai-conformance.yml
- type: DataModel
url: data-model/read-ai-data-model.yml
- type: Packages
url: packages/read-ai-packages.yml
- type: Webhooks
url: asyncapi/read-ai-webhooks.yml
- type: Plans
url: plans/read-ai-plans.yml
x-enrichment:
date: '2026-08-05'
status: enriched
artifacts_added: 25
pass: local-v1