Scientific Fraud Detection MCP Server

View on ApifyForge | Use on Apify Store

Remote server

What is the Scientific Fraud Detection MCP Server?

Scientific Fraud Detection is an MCP project maintained in the apifyforge/scientific-fraud-detection-mcp repository. The maintainer describes its purpose as “View on ApifyForge | Use on Apify Store”. Read the project documentation for the complete scope.

Hosted connection

The maintainer’s configuration uses https://ryanclinton--scientific-fraud-detection-mcp.apify.actor/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
P-curve	applies Stouffer's method on conditional p-values (p/0.05); right-skew p-value below 0.05 indicates evidential value
DerSimonian-Laird	random-effects pooling with Q-statistic, tau-squared between-study variance, and I-squared heterogeneity
Self	citation excess: flags authors whose self-citation rate exceeds 30% of total citations
Do	calculus identifiability: checks d-separation for each contamination path; paths with unblocked backdoor confounders are marked non-identifiable
Normal	normal conjugate update: prior N(μ₀=0, σ₀²=1), likelihood from paper statistics, posterior via standard Bayesian update
Fixed	point iteration: calibration loop continues until convergence (or maximum iterations)
audit_statistical_consistency	$0.040
analyze_p_curve_z_curve	$0.035
fit_selection_model_meta_analysis	$0.045
detect_citation_network_anomalies	$0.040
screen_image_data_forensics	$0.045
trace_causal_contamination	$0.040
detect_harking_bayesian_surprise	$0.035
self_calibrate_detection	$0.040

How to install the Scientific Fraud Detection MCP Server

{
  "mcpServers": {
    "scientific-fraud-detection-mcp": {
      "url": "https://ryanclinton--scientific-fraud-detection-mcp.apify.actor/mcp"
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.