Data

BGPT Paper Search searches scientific papers and retrieves structured experimental data extracted from full-text studies via the BGPT MCP server. Use it for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Binding Characterization provides guidance for SPR and BLI binding kinetics experiments, helping researchers plan experiments, troubleshoot poor signal, interpret artifacts, and choose between SPR and BLI platforms.

BindingDB Database queries BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50) by target (UniProt ID), compound (SMILES/name), or pathogen. Use it for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.

Bio Alignment Filtering filters SAM/BAM alignments by flags, mapping quality, and genomic regions using samtools and pysam. Use it to extract specific reads, remove low-quality or duplicate alignments, or subset to target regions.

OSINT Methodology provides a structured framework for open source intelligence campaigns, covering target profiling, collection workflows, data correlation, timeline reconstruction, and reporting.

Paper Search searches for academic papers and scholarly articles via Google Scholar using the Serper API. Use it to find peer-reviewed research, seminal papers, citation counts, and systematic reviews for grounding claims.

Research breaks a topic into subtopics, gathers factual information with reasoning, and produces a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or asks 'what is known about...'.

Wiki Query searches wiki pages, synthesizes answers with citations, and can file valuable answers back as new wiki pages. Use it when the user asks a question about the knowledge base.

Azure AI Document Intelligence .NET extracts text, tables, and structured data from documents using prebuilt and custom models. Use it for invoice processing, receipt extraction, ID document analysis, and custom document models in .NET applications.

Azure Kusto Graph builds transient and persistent graphs from tabular data using KQL graph operators, covering edge definition, node lookups, pattern matching, shortest paths, connected components, and graph-to-table export. Use it when you need to model relationships, find paths or patterns, or analyze connected components in Azure Data Explorer data.

Azure Kusto IRQL composes IRQL (Incident Response Query Language) function pipelines for Kusto cybersecurity investigations. Use it to translate hunting questions into composable Get_*, Extract_*, and Enrich_* queries for failed logins, phishing, lateral movement, and process/file events.

Azure Kusto IRQL Graph applies IRQL graph functions like Lift_To_Graph, Graph_Render_View, and Graph_Fold_By_Property to turn KQL/IRQL query results into visual graph mappings in Kusto Explorer. Use it when you have a working query and need node/edge mapping, folding, extraction, or enrichment.