Research Integrity Screening MCP Server

Academic fraud and publication quality intelligence via MCP. Orchestrates 7 data sources for researcher integrity screening, publication flag checking, journal quality assessment, citation anomaly detection, and grant-research linkage auditing.

Tools

Tool	Price	Description
screen_researcher_integrity	$1.50	Comprehensive researcher integrity screening
check_publication_flags	$1.50	Check publications for quality and integrity flags
assess_journal_quality	$1.50	Assess journal quality and predatory journal risk
detect_citation_anomalies	$1.50	Detect unusual citation patterns indicating manipulation
audit_grant_research_link	$1.50	Audit linkage between grant funding and published research
compare_institutional_integrity	$1.50	Compare research integrity metrics across institutions
generate_integrity_report	$3.00	Comprehensive research integrity report

Data Sources

• OpenAlex — Academic publication and citation data
• ORCID — Researcher profiles and affiliations
• PubMed — Biomedical literature
• Semantic Scholar — AI-powered academic search with citation analysis
• Crossref — Publication metadata and DOI resolution
• CORE Open Access — Open access full-text repositories
• NIH Grants — Federal research grant data

Scoring Models

• Researcher Integrity Score (0-100): Retraction rate + citation anomalies + publication velocity red flags + co-author network analysis
• Paper Mill Indicator: Detects patterns consistent with paper mill output (template structures, suspicious citation rings)
• Journal Quality Assessment: Predatory journal detection from citation patterns and editorial practices
• Funding Risk Linkage: Maps grants to flagged publications to assess funding agency exposure

How to Connect

Claude Desktop

{
  "mcpServers": {
    "research-integrity-screening": {
      "url": "https://research-integrity-screening-mcp.apify.actor/mcp"
    }
  }
}

Use Cases

• Research Integrity Officers: Automated screening of faculty publications for integrity red flags
• Funding Agencies: Pre-award screening of PI publication records and integrity scores
• Journal Editors: Submission screening for paper mill indicators and citation manipulation
• Academic Institutions: Institutional research integrity benchmarking and monitoring

FAQ

Q: Can this definitively identify fraud? A: No. The system identifies statistical anomalies and red flags that warrant investigation. It is a screening tool, not a forensic fraud detection system.

Q: Is it legal to use this? A: All data sources are publicly available academic databases. See Apify's guide on web scraping legality.

Related MCPs

• ryanclinton/higher-education-risk-mcp — Academic institution due diligence
• ryanclinton/academic-commercialization-pipeline-mcp — Research-to-product scouting
• ryanclinton/academic-institution-talent-mcp — University research talent