"Dgraph" matching MCP servers:

Enables LLMs to perform OSINT link-analysis by exposing transforms (DNS, WHOIS, Shodan, etc.) as MCP tools for autonomous investigation and graph enrichment.

A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.

Enables AI agents to analyze and link citations across multiple research sources, building cross-citation graphs and resolving consensus from conflicting findings. It exposes this capability as a deterministic, zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients.

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.

Enables querying WSPR beacon data including live spots, band activity, top beacons, propagation paths, and SNR trends through any MCP-compatible AI assistant.

An MCP server for HF radio propagation analytics using the IONIS dataset collection, enabling natural language queries about band conditions, propagation paths, and solar correlations.

MCP server for ARRL Logbook of The World (LoTW) that enables querying confirmations, uploaded QSOs, DXCC credits, and user activity through any MCP-compatible AI assistant. Part of the qso-graph project, it is read-only and requires LoTW credentials for authenticated tools.

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.

This server is to precess files for LNR.

Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.

Enables MCP clients to query a FalkorDB citation graph of Indian Supreme Court judgments, determine whether cited authorities remain good law, trace overruling and reliance through multi-hop evidence paths, and access case-law tools or read-only Cypher.

Enables assistants and editors to query a curated, read-only evidence graph for graded findings about what compounds, supplements, nutrients and foods have been shown to do in the human body, each with an automatic A–F grade, the verbatim source sentence, paper, population, dose and a permalink, plus reference-database relations labelled as hypotheses. It also exposes no products, prices or purchase links, and returns no medical advice or rankings of what to take.

Exposes SPARQL-backed tools that let users run arbitrary SPARQL queries against DBpedia and search DBLP publication titles by topic to retrieve citation-count results. It serves these capabilities over Streamable HTTP, so MCP clients can call the public endpoints locally, in Docker, or on Cloud Run.

A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.

Enables autonomous research workflows to construct and analyze multi-source cross-citation graphs and resolve consensus from structured outputs via MCP.