"Radar" matching MCP servers:

Enables LLM agents to query and analyze hh.ru job vacancies via full-text and semantic search, with tools for vacancy lookup, skill statistics, market overview, and candidate profile comparison.

An MCP server that makes the OpenAIRE Graph more useful for replication by identifying high-impact work worth replicating, finding independent reusable tooling, and checking replication status with verdicts.

Enables AI assistants to query and analyze fanqie novel rank data, including trend diffs, genre heat, hotwords, and a six-dimensional imitation-book scoring model for selecting books to model.

An MCP server that fetches, dedupes, and scores women's-health & FemTech research and industry news, designed to feed GitHub Agentic Workflows and an auto-updating Astro + RSS site.

Fetches recent papers and preprints from Europe PMC by query, enabling users to ask their AI assistant for the latest research in any field.

Turns an unstructured business note into deterministic, explainable signals for revenue, automation, risk, urgency, and data, returning a score, priority, evidence, and a suggested next action. This lets an AI assistant assess and prioritize business opportunities through an auditable, locally computed tool.

Enables local semantic scanning of thousands of Reddit posts to answer research questions, returning structured market intelligence with real Reddit evidence behind each claim.

Enables AI agents to scan Questbook grant programs, read full RFPs, and retrieve competitor applications including approvals to analyze winning strategies.

An MCP server that fetches live trends from X, Google News, GitHub, and Hugging Face, and generates a self-contained HTML dashboard displaying top 20 lists for AI news, coding repositories, and models.

Monitors PubMed and medRxiv for configurable research topics, summarizes papers using a local LLM, and stores deduplicated results in a local database.

Enables monitoring Bangladeshi newspaper headlines and articles via MCP, with tools to scan recent coverage, compare story presence across outlets, and search Prothom Alo's archive in Bengali or English.

Aggregates AI/ML/data-engineering developments from free public sources into a ranked, deduplicated, categorized feed for Claude.

Provides read-only MCP tools to list archived snapshots, retrieve methodology and proof bundles, and verify supplied evidence bundles.

The MCP server behind Constat — FDA & NHTSA regulatory-risk intelligence for AI agents, over the Model Context Protocol. Live public regulatory data — recalls, adverse events, warning letters, 510(k) premarket evidence, postmarket drift signals, reimbursement pathways, and vehicle safety. Decision support, not regulatory advice.

MCP server for e-commerce return risk analysis, providing tools to calculate customer risk profiles, compare segments, and identify risk factors, with memory for contextual conversations.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

An MCP server that lets Claude and other clients query DataDive niches, keywords, competitors, and Rank Radar data using your API key, including tools for managing dives and rank radars.

Enables AI agents to automatically analyze AWS LNA CSV data and generate competency assessment PPT reports with radar charts and team-level insights.

Enables AI agents to process RF signals, perform spectral analysis, and execute radar DSP primitives such as Range-Doppler processing and CFAR detection, supporting both file-based and live SDR capture.

Exposes spectral analysis and radar DSP primitives (FFTs, STFT spectrograms, 2D Range-Doppler processing, CA-CFAR detection, MVDR beamforming, Kalman tracking) as callable MCP tools for AI agents, running hardware-free on signal files.