"MCP server that supports JAR decompilation" matching MCP servers:

A Model Context Protocol (MCP) server that provides web search functionality using the You.com Search API. Built with Bun runtime for optimal performance and supports multiple transport protocols for compatibility with different MCP clients.

An MCP server that validates DOIs, formats citations, manages bibliography collections, and catches fabricated references, returning citation metadata only. It works with MCP clients over stdio and supports both basic and API-key-based usage.

SERP-free scholarly search MCP server that queries academic sources like arXiv, Semantic Scholar, and conference proceedings using official APIs and reverse-engineered endpoints, with no API keys required. It supports unified conference search and returns normalized paper metadata.

MCP server that supports cybersecurity operations by providing CVE lookup, risk summarization, and playbook resources through CIRCL Vulnerability-Lookup API.

A feature-rich NASA data query tool that supports various NASA API services including astronomy pictures, Mars rover photos, Earth satellite images, near-Earth objects data, and space weather information through natural language queries.

An industry benchmarking tool that enables users to compare company metrics like revenue and profit against industry averages using interactive visual charts. It supports both Claude and ChatGPT across multiple transport protocols including SSE and Streamable HTTP.

MCP server that audits Brazilian parliamentary speeches for hate speech and offensive language using a fine-tuned BERTimbau classifier, returning classification, confidence, and human review recommendations.

MCP server for Medify UCAT accounts that authenticates as a member, pulls completed mock scores and practice analytics, and exposes tools for score trends, question-type weaknesses, timing sinks, and practice recommendations.

An MCP server for executable mathematics that enables agents to construct objects, compute invariants, search for witnesses, and verify results with independently checkable evidence.

A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

An MCP server for Meertrack that enables users to ask their AI agent about competitors' recent activities, digests, and product changes via natural language.

An MCP-native research assistant — search backend, intent-routing, and writing pipeline that carries a question through search, verification, and writing, delivering whatever research you need: quick answers, verified sources, or a finished document.

AI-powered code assistant that provides advanced search and discovery capabilities across GitHub and NPM ecosystems, helping users understand code patterns, implementations, and connections between repositories.

An MCP server that enables AI agents to query RevenueCat's subscription analytics API using natural language, retrieving metrics like MRR, churn, and revenue.

An MCP server that enables searching and retrieving ACL NLP conference papers from a Qdrant vector database using semantic search and structured filters like year, venue, and field of study.

An MCP server that gives AI assistants direct access to NASA's Exoplanet Archive — the authoritative database of every confirmed exoplanet, candidate planet, and host star.

MCP server for the Pyon trading platform that lets AI agents search markets, generate research, build and edit node-graph strategies, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.

An MCP server that searches across the Internet Archive and Library of Congress at once, merging results while keeping each archive's differences. Provides tools to search inside texts, search catalogues, and retrieve item records, all read-only and without an API key.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!