es.revisia/revisia · v2026.11.6 · design
revisia is healthy: it completed an MCP handshake in 998 ms and exposes 25 tools.
Systematic reviews from chat: PRISMA 2020 diagrams, risk-of-bias figures, kappa and AI screening.
Endpoint: https://revisia.es/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 25 |
| Latency | 998 ms |
| Last checked (UTC) | 2026-11-06T09:15:47.118Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-06T09:15:47.118Z | Healthy | 998 |
revisia_prisma_flow_diagram | Use this when the user needs a PRISMA 2020 flow diagram for a systematic review and already has the counts per stage (records per database or register, duplicates, screened, excluded, reports sought and assessed, exclusion reasons, studies included). Draws the official template (new or updated revie |
revisia_risk_of_bias_figure | Use this when the user has risk-of-bias judgements per study and wants the traffic-light plot and the weighted or unweighted summary bar chart (robvis style) for RoB 2, RoB 1, ROBINS-I, ROBINS-I V2, ROBINS-E, QUADAS-2, PROBAST, Newcastle-Ottawa, JBI or a custom set of domains. Takes the judgements a |
revisia_interrater_agreement | Use this when the user wants agreement statistics between reviewers, e.g. for dual screening or data extraction: Cohen's kappa (unweighted, linear or quadratic weights) for two raters, Fleiss' kappa for three or more, with Gwet's AC1/AC2, PABAK, 95% confidence interval, p-value, the Landis and Koch |
revisia_prisma_checklist | Use this when the user needs the completed PRISMA 2020 reporting checklist (27 items, plus the 12-item PRISMA 2020 for Abstracts) to submit with a manuscript. Takes, for each item the user has checked, its status (reported, not reported, not applicable) and where it is reported (page, section, table |
revisia_account_status | Show the signed-in researcher's plan, per-account caps and which bibliographic sources their plan unlocks. Call this before planning work that consumes quota (searching, screening, extraction) so you know the ceilings you are working under. |
revisia_help | Return revisia's own guide for AI agents: what the platform does, the ten-stage methodological spine, and what an agent may and may not do on the researcher's behalf. Call this when unsure how a step of the review works before guessing. |
revisia_projects | Use this when you need the researcher's reviews or where one stands. action list: reviews owned by the account, newest first. action status: corpus size, identification and deduplication counts, screening decision counts, approved stages, running jobs and the next stage awaiting the researcher's app |
revisia_projects_act | Use this when the researcher wants a new review or to reword its question. action create (title and question required) first checks the question with revisia's AI, as the web app does, within the daily check quota: if the verdict is ok it creates the review; otherwise it creates nothing and returns |
revisia_question | Use this when you need the review question, its concepts and the eligibility criteria, including AI-suggested criteria that are waiting for the researcher. action list_criteria. Read-only. |
revisia_question_act | Use this when preparing stage 1 and the eligibility criteria. action check: AI quality check of the question of a review that already exists (framework, missing parts, better wording; new reviews are checked by create). action suggest_pico: AI breakdown into concepts (not saved). action suggest_crit |
revisia_search | Use this when you need the search strategy (action status: active and inactive concept blocks, the saved query per database, what each search retrieved, the latest import; detail full prints whole queries) or a record count before running (action estimate, no AI). If the researcher has not said whic |
revisia_search_act | Use this when preparing stage 2. action build: AI proposes the concept blocks and saves them (save: false to only look); it runs as a job and answers at once, so wait with revisia_jobs (kind strategy) and call build again to get the proposal without new AI. action edit_strategy / edit_queries: save |
revisia_screening | Use this when you need the title/abstract screening decisions: per record the decision, whether a human or the AI made it, and per criterion the verdict and the reason quoting the abstract, with a flag saying whether the quote was found verbatim. action results (filter by decision; 10 per page with |
revisia_screening_act | Use this when the researcher wants AI screening run or a screening decision recorded. action run: dry_run defaults to true and reports how many records the AI would screen, how many go to human verification under the plan's quota and what blocks the launch; dry_run false launches (pass idempotency_k |
revisia_fulltext | Use this when you need the full-text stage: which included records have a full text (PDF, PMC text or both), which were not retrieved, and the full-text decisions with who made them and why (action list, paginated). Read-only. |
revisia_fulltext_act | Use this when the researcher wants open-access full texts retrieved (action fetch, no AI) or full-text screening run by AI (action run), or a full-text decision recorded (action decide; exclude needs a reason). fetch and run default to dry_run true; dry_run false launches. Full-text screening is a p |
revisia_extraction | Use this when you need the data extraction table: one row per included study, one column per variable, each cell with its value and whether its supporting quote was verified (action table, paginated; with_quotes adds the quotes). Read-only. |
revisia_extraction_act | Use this when preparing data extraction. action suggest_columns: AI proposes columns (not saved). action define_columns: save the columns the researcher accepts. action run: AI extraction; dry_run defaults to true and reports pending studies and blockers, dry_run false launches. Extraction is a paid |
revisia_rob | Use this when you need the risk-of-bias assessments per study and domain with their supporting quotes (action summary, paginated) or the traffic-light and summary figure (action figure). Read-only. |
revisia_rob_act | Use this when the researcher wants AI risk-of-bias drafts (action run; dry_run defaults to true, dry_run false launches) or a judgement recorded (action decide: the instrument and one judgement per domain). Risk-of-bias drafting is a paid feature and needs the extraction stage approved. |
revisia_report | Use this when you need the review's outputs: the PRISMA 2020 flow diagram with its counts (action prisma), the citable Methods paragraph and how to cite revisia (action methods), or the manuscript draft (action manuscript). Read-only. |
revisia_report_act | Use this when the researcher wants the manuscript draft written from the approved stages (action manuscript). dry_run defaults to true; dry_run false generates it. Needs every earlier stage approved and a confirmed email. |
revisia_export | Use this when the researcher needs a file from the review: screening decisions (screening_csv), included or all references (refs_ris, refs_ris_all), the audit trail (audit_csv), risk of bias (rob_csv) or the protocol (protocol_md). By default you get a summary and the link to download the file in th |
revisia_jobs | Use this after launching anything long (import, search, strategy build, criteria suggestion, screening, full text, extraction, risk of bias): it waits up to about 45 seconds and returns status and done/total progress with the next steps. A finished screening job also says how many records the AI scr |
revisia_approve_stage | Use this when a stage looks finished: it returns which stage awaits approval (always the first unapproved one: later stages stay locked in the web app until it is signed), what the researcher should check, the exact words to tell them (stage number, screen name and button) and the link to the web sc |