Pro Team · $199/mo · 5 seats
For AI & engineering teams
MCP-native pipeline. Skip 4–6 months of building.
The problem
- Building a production audio→memory pipeline is 4–6 months of a senior engineer ($80–150k).
- Diarization, chunked alignment, OOM handling, multi-user — none of it is the weekend project it looks like.
- You want memory your agents can use, not another transcription script to maintain.
What NoParrot gives you
MCP-native
A production MCP server (6 tools) plus LangChain Loader and LlamaIndex Reader. Wire it into any agent stack.
All the connectors
Direct push to ChromaDB, Qdrant, Pinecone, Weaviate or pgvector — with diarized, speaker-aware chunking.
Team-ready
REST/WebSocket API, shared archive, RBAC, audit log and Slack webhooks.
Questions, answered.
Why not build an audio-to-memory pipeline ourselves?
You can, but a production pipeline — reliability, diarization, chunked alignment, multi-user, connectors and MCP — is months of senior-engineer time. NoParrot Team is ready today.
Which agents and vector databases are supported?
Any MCP-compatible agent (Claude, Cursor, your own SDK), plus ChromaDB, Qdrant, Pinecone, Weaviate and pgvector, and LangChain/LlamaIndex.
Is it self-hosted?
Yes — it runs entirely on your infrastructure. No audio leaves your servers.
What does Pro Team include?
A REST and WebSocket API, all vector-database connectors, MCP server features, audit log and RBAC, for 5 seats at $199/mo.
Pro Team
$199/mo · 5 seats