Ready for your agentic workflow.
Observant installs as an MCP server, right inside Claude Code or Cursor — built for AI-native teams who ship in the editor. User learning runs on autopilot and shows up where you build: surfaced in the flow, agent-ready, already half-implemented.
No dashboard, no context-switch — the insight arrives where you're already building.
From a signal to a shipped fix — without leaving your editor.
Your users' feedback and the research engine — in the same MCP.
Connect once. Observant gives your editor agent two things: the raw feedback your users have already given you, and the engine that runs new studies and synthesizes it. No dashboard to open, no export to wrangle.
Pull your feedback
What your users actually said — read it where you build.
observant_recent_feedbackIn-product snippet feedback — thumbs, exit reasons, short notes, CSAT.observant_conversationsOff-product 1:1 threads (email/Telegram) with every turn, per named user.observant_insightsSynthesized Signals — Issues, Insights, Opportunities, grounded in quotes.
Run the research
Orchestrate new studies over that same feedback, from the editor.
codified_run_studyKick off a round — churn, drop-off, PMF, launch feedback. Observant recruits + runs the 1:1s.codified_query_insightsSearch synthesized insights by feature or topic across studies.codified_search_transcriptsFull-text search every interview transcript for what users said.
One command to wire it into your editor.
Add the MCP server over HTTP — Claude Code, Cursor, or Claude Desktop. No dashboard, no setup call.
Cursor & Claude Desktop: point an HTTP MCP server at the same URL. Want studies too? Add the engine alongside it: