science-ai-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SCIENCE_AI_API_KEY | Yes | Your saij_… token for authentication | |
| SCIENCE_AI_BASE_URL | No | Base URL for Science AI API, default: https://scienceaijournal.com | https://scienceaijournal.com |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| start_writer_pipelineA | Enqueue a writer-pipeline job for an existing WriterSession. Returns immediately with a jobId; the orchestrator-worker claims it within ~5 seconds. Default section is step_7_5 — the auto-chain that replaces the three buttons in Step 7.5. Use |
| get_writer_pipeline_statusA | Return the latest writer-pipeline job for a (sessionId, section). Use after |
| check_duplicate_publicationA | Pre-submission duplicate-publication and salami-slicing check. Cross-references the title + abstract against CrossRef, arXiv, medRxiv, bioRxiv, Unpaywall, and a 900k-paper institutional library in ~30 seconds. Returns a status (likely_published, uncertain, or not_found) with a confidence score and message. Free. Use before submission to catch accidental duplicates or to confirm a preprint hasn't been formally published yet. |
| hakem_review_paperA | Run one of the HAKEM specialist agents (methodology, language, figures, plagiarism, or literature) on a prepared agent prompt and return the structured editorial decision: score (1-10), verdict (Accept / Minor Revision / Major Revision / Reject), summary, strengths, concerns, detailed multi-section review, confidence band, and questions for the authors. Uses Science AI Journal credits. For the full 5-agent + synthesis flow, prefer the web UI at scienceaijournal.com/ai-review. |
| recommend_journalsA | Recommend ranked target journals for a paper from a ~1,200-venue index. Each result includes a letter grade (A-F), a match percentage, tier (1-3), publisher, open-access status, 2-year mean citedness, predatory-journal flag, and 2-3 example similar papers that landed at that venue. Free — runs locally via FTS5 + topic-RAG, no LLM call. Use when the user asks 'where should I submit this paper' or wants to compare target venues before deciding. |
| pre_check_paperA | Run a free, zero-LLM-cost pre-submission scoring of an academic paper. Returns predicted publication tier (Tier 1, 2, or 3 probability), the detected research field, and a confidence band. Backed by a local 33,000-paper library via FTS5 BM25. Use this when the user wants a fast sanity-check on whether a paper is ready to submit, or which tier of journal to target. Sub-second response. Free. |
| find_research_gapsA | Surface research gaps + the most-cited and most-recent papers around a query. Returns cross-paper synthesis gaps first (LLM-derived, grounded in ≥ 2 papers), then catalogue-level single-paper gaps. Plus a field overview and ≤ 50 top-cited and ≤ 50 most-recent papers. Uses Science AI Journal credits; rate-limited to 10 requests/hour per IP. Use for early-stage research discovery, literature gap identification, and proposal scoping. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clear, distinct purpose: duplicate checking, research gaps, journal recommendations, paper pre-check, expert review, and writer pipeline status/start. No significant overlap, and tools like check_duplicate_publication and pre_check_paper serve different aspects of pre-submission.
All tool names follow a consistent verb_noun pattern with underscores (e.g., check_duplicate_publication, find_research_gaps, start_writer_pipeline). Even hakem_review_paper integrates a proper noun but still follows the same structure. No mixing of styles or conventions.
7 tools is well-scoped for an academic research workflow server, covering pre-submission checks, gap analysis, journal recommendations, review, and writing pipeline. Not too few to be trivial, nor too many to be overwhelming.
The tool set covers the main pre-submission and review stages comprehensively, but lacks tools for editing, submitting, or tracking submissions beyond the writer pipeline. Minor gaps exist, such as no cancel or update for the pipeline, but core workflows are well-represented.