obsei MCP server

obsei

Voice of Customer without violating privacy. The self-hosted, open source alternative to Enterpret and Unwrap that strips PII before any LLM sees it.Bring your own sources, models and agents.

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Teams want to understand what customers say in reviews, tickets, calls and surveys, but often can't send that text to another SaaS or a public LLM. obsei runs entirely inside your own infrastructure:

ingest. Encrypted database, air-gapped by default, no telemetry, erasure and an audit log built in.

• Private by design. PII is redacted (and optionally names) and authors are pseudonymised at

in process by default, a decision model such as Julia-1, or Ollama, vLLM, Azure OpenAI, OpenAI, Bedrock and Vertex through LiteLLM.

• Bring your own. Your sources, your keys and your model: a zero-shot classifier that runs

customers with cited, privacy-filtered evidence and propose issues that you approve.

• AI-native. An MCP server and a Claude plugin, so agents answer questions about

obsei[embeddings], a local multilingual model groups the same issue across 50+ languages; without it, the offline embedder groups by wording, so each language forms its own themes.

• Every language. Feedback is classified and quoted in its own language. With

obsei provides controls that support compliance with laws such as the GDPR, India's DPDP Act, Brazil's LGPD and California's CCPA. It makes no compliance claims; you remain the data controller.

[!NOTE]

1.0 is a new codebase, not compatible with 0.0.x. The legacy 0.0.x toolkit lives on the legacy/0.0.x

branch (pip install "obsei<1"); see Migrate from 0.0.x.

Quickstart

mkdir voc && cd voc
uvx --from "obsei[recommended]>=1.0" obsei init   # obsei.yaml, secrets, sample data, local model
obsei try                              # table of redacted, labelled feedback; nothing stored
obsei try https://apps.apple.com/us/app/whatsapp-messenger/id310633997   # or GitHub, HN, a feed, a CSV
obsei add appstore                     # add sources and sinks without editing YAML (obsei integrations)
obsei add slack                        # asks for the webhook, keeps it in .obsei/secrets.env
obsei check                            # every source and sink: secrets, egress, credentials
obsei run                              # fetch, redact, label, deliver, store
obsei serve                            # scheduled pipelines, webhooks, MCP and Studio
obsei doctor                           # environment, secrets, encryption, egress mode, plugins

Shortened. The full README is on GitHub.