com.ripostiq/ripostiq
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Publisher-provided title
Ripostiq
Publisher-provided description
Courses that argue back: learn adaptively, build real work, then defend it to an AI stakeholder.
Summary by lookupd
Takes courses with adaptive lessons, spaced recall, mock exams, and boss-battle reviews, and stores learner work in a saved library.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ripostiq https://ripostiq.com/mcp
Codex, remote (streamable-http)
codex mcp add ripostiq --url https://ripostiq.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ripostiq": {
"url": "https://ripostiq.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (24 tools)
Publisher-provided text
loginClaude Code plugin login only (auth_token flow). On the web/desktop connector, identity comes from the connector's OAuth approval — do NOT ask the user to typewhoamiReturn the current logged-in user (via OAuth bearer or an auth_token).get_entitlementsList the logged-in account's entitlements across courses (OAuth bearer or auth_token).get_lessonFetch a module's lesson content. Free module is open; paid modules require an active entitlement. Returns {locked, teaser, checkout_url} when not entitled.list_coursesList every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a free Module 1 anyone cabegin_courseStart a course. Returns the tutor protocol, intake guidance, and the module map. Call this first, run the intake, then call teach_section to teach Module 1.roastFree 'Roast my work' — a single tough-but-fair stakeholder grilling of ANY artifact the user pastes (PRD, architecture, code, pitch, resume, plan, essay…). No linterview_prepFree 'Mock interview' — a realistic, calibrated interview for a role. `jd_or_skill` is the job description (paste it) or the skill/role to interview against; `rlist_interviewsList the curated Interview-Prep topics (e.g. 'Agentic AI in Production'). Each is a realistic, adaptive mock interview on a fixed topic — concept→scenario queststart_interviewBegin a curated Interview-Prep session on a fixed topic. `interview` is the topic id from list_interviews (e.g. 'agentic-ai-in-production'); `role`/`experience`teach_sectionGet one lesson section's content + the teaching protocol for it. Free module is open; paid modules require an active entitlement (returns {locked, teaser} if norun_bossGet the module's boss-battle simulation + how to run it (in-character, real stakes, earned PASS). Gated like lessons. `difficulty` dials the intensity — 'frienddaily_drillThe two-minute drill — today's spaced-recall question + the learner's day streak. Call it to fetch today's question (deterministic per day, drawn from modules tstart_examStart the course's SCORED PRACTICE EXAM — a full, blueprint-aligned multiple-choice mock that returns a scaled score against the real pass line, a per-domain brsubmit_examScore a practice exam started with start_exam. `answers` maps each question id to the learner's chosen letter, e.g. {"q001": "A", "q002": "C"}; unanswered questget_outlineFull course outline — every module + its section titles — so the learner can pick ANY module/section to start, in any order. Marks locked modules and their progmark_progressRecord the learner's progress server-side (shows on their account + syncs across devices). Call when a section is genuinely completed (section_id), or after a bget_recapResume briefing for a returning learner — what they've covered, mastery levels, strong/weak topics, and recall questions to reactivate memory. Call at session sget_progressReturn the learner's progress for a course — the raw doc plus a display-ready summary (per-module sections done/total, boss status, overall percent, current posrecall_questionsReturn spaced-recall questions drawn from the account's completed modules.list_artifactsList the learner's saved Library artifacts (titles + metadata, newest first). Use at session start (with get_recap) to reference prior work and continue seamlesget_artifactFetch a saved Library artifact's full content (by id, or by key+course). Use to pull a prior deliverable forward and build on it in a new chat.submit_artifactSubmit a lab deliverable. Stores it in the learner's Library (type='deliverable') and returns the module rubric so it can be reviewed against the bar. Call get_get_certificateRipostiq certificate status. Pass `module` for that module's certificate (earned when its boss battle is passed); omit it for the course certificate (earned whe
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 522 ms
- First indexed:
- Last seen in registry:
- Website: https://ripostiq.com
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