Free TierAPI Key AuthOpenAPI Spec
Otter.ai is an AI-powered transcription and meeting notes service that converts audio and video conversations into searchable text in real-time. It integrates with video conferencing platforms and provides collaborative note-taking features.
#1 of 2 in Transcription · #2 of 4 in Meetings · #18 of 55 in Productivity
Checklist Breakdown
13 of 33 checks passed.
14 unscored.
Can an agent find and understand this tool without a web search?
✓
Published OpenAPI/Swagger spec
✗
Has llms.txt or llms-full.txt
✗
Has an MCP server (official or well-maintained)
✗
MCP server listed in a public registry
✓
API reference docs are publicly accessible
✓
Docs include runnable code examples
✓
Has a public changelog or release notes
✓
Has a public status page
Can an agent create an account and get credentials without human intervention?
✗
Signup does not require CAPTCHA
✗
Signup does not require phone verification
✓
Supports API key auth (not only OAuth)
✗
API key obtainable without manual approval
✓
No mandatory billing info to start
✓
Can sign up without creating an organization
Can an agent operate autonomously without upfront payment or contracts?
✓
Has a free tier
✓
Usage-based pricing available
✓
No minimum contract or commitment
✓
Pricing page is public (no 'contact sales')
✓
Free tier sufficient for testing (not just a trial)
How well does the API work for non-human consumers?
—
SDK available in 2+ languages
—
Structured error responses (JSON with error codes)
—
Idempotency support on write endpoints
—
Pagination on list endpoints
—
Webhook/event support
—
Sandbox or test mode available
—
Rate limit headers in responses
—
Consistent REST resource naming
Does the tool fail gracefully when an agent makes a mistake?
—
Meaningful error messages (not just 500)
—
429 responses include Retry-After header
—
Documented uptime SLA (99.9%+)
—
Graceful degradation under rate limits
—
Request IDs in responses for debugging
—
API versioning supported
Reviewer Notes
Otter.ai has a REST API and supports API key authentication, enabling programmatic access to transcription and meeting data, which is a moderate strength. However, account creation requires human verification (email confirmation, CAPTCHA), making autonomous agent signup impossible. Discovery is hindered by the lack of an MCP server or llms.txt file—agents would struggle to find integration documentation without explicit guidance. The API provides structured transcript data but lacks comprehensive error handling documentation, and there's no sandbox environment for safe testing.
Let your agents find tools like Otter.ai
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claude mcp add --transport http agent-native-registry https://agentnativeregistry.com/api/mcp