"Dgraph" matching MCP servers:

Neo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.

MCP server for space weather and HF propagation conditions — live solar flux, Kp index, DSCOVR solar wind, X-ray flux, alerts, 27-day forecast, and band-by-band outlook through any MCP-compatible AI assistant.

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

MCP server for Parks on the Air (POTA) providing live activator spots, park details, activator/hunter stats, and scheduled activations through any MCP-compatible AI assistant.

MCP server for QRZ.com — callsign lookups, DXCC entity resolution, and logbook queries through any MCP-compatible AI assistant.

An MCP server for eQSL.cc that allows users to download incoming electronic QSL cards, verify specific contacts, and check Authenticity Guaranteed status. It enables natural language interaction with amateur radio logs and confirmation records through any MCP-compatible AI assistant.

Enables IOTA group lookup, island search, DXCC mapping, nearby groups, and programme statistics through any MCP-compatible AI assistant.

Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.

MCP server for HamQTH.com — callsign lookup, DX cluster spots, Reverse Beacon Network, DXCC resolution, and more 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 Summits on the Air (SOTA) — live spots, activation alerts, summit info, and nearby summits through any MCP-compatible AI assistant.

Enables querying the 90 amateur ITU zones as the IARU publishes them, with each zone's ADIF DXCC and subdivision prefixes, boundary wording, and source citation, so users can find which zones cover a DXCC entity or subdivision, search zones by prefix or text, and check validity on a given date — all offline, without credentials.

Enables read-only querying of live and past amateur-radio nets and check-ins from NetLogger, with caching, rate limiting, and a consistent contract for future sources.

Enables AI assistants to query OMISS amateur-radio data from omiss.net's public pages, including the net schedule, nets currently on the air, member lookup, past net check-ins, the Statehood schedule, officers, awards and net statistics. No login or API key is required, with polite rate limiting and caching built in.

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.

Provides safe, typed access to Amateur Radio logging data with ADIF validation, parsing, spec search, and geospatial utilities for Maidenhead locators.

Enables querying WAZ zone definitions, mapping ADIF DXCC entities and subdivisions to zone codes, searching zones by name or prefix, and checking zone validity with source citations. Runs locally without network access or authentication.

An MCP server for tracking student learning via a knowledge graph, with spaced repetition scheduling and intelligent queries to identify gaps, misconceptions, and optimal next steps.

Enables clients to look up DARC local-club DOK codes and special event DOKs — district, club, purpose, callsign and sponsoring club — and to check whether a code was valid on a given QSO date, or to search by club, town, district or purpose. Runs fully offline with no network or authentication, and every answer cites its published source.

Provides LLM clients with a persistent, scalable knowledge graph memory system that supports semantic retrieval, contextual recall, and temporal awareness.