"Information or resources related to Unity" matching MCP servers:

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.

Enables searching and retrieving articles, citations, and structured content from Grokipedia for research and information retrieval. It provides specialized tools for section extraction, related page discovery, and filtered search results.

Google Trends data: interest over time, by region, related queries, and trending now.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

Enables MCP clients to search for published academic articles and retrieve detailed metadata, abstracts, citation counts, and related information from the Elsevier Scopus API. Supports citation verification and writing-style analysis grounded in peer-reviewed sources.

Enables AI apps to search real scholarly papers through OpenAlex and retrieve details, abstracts, citation counts, DOIs, open-access links, related papers, and citing papers.

Enables searching arXiv and top AI conferences, finding related papers, generating research insights, and managing a personal library via MCP tools.

Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.

Enables users to search the SNAC Cooperative's index of archival collections and the people, families, and organizations linked to them, and to construct ArchiveGrid search links. It helps genealogists and historians discover which repositories hold papers and related collections.

Enables LLMs to inspect and search mock transcripts through MCP tools and resources. Supports listing, fetching, and searching transcripts with filters on participants, tags, and content.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.

Local MCP adapter for public Stock Trends API resources, enabling credential-free access to public resources and a workflow cost estimation tool. It does not generate investment advice; it only translates published API responses for MCP clients.

Enables querying Yandex Wordstat search statistics, including frequency, related queries, seasonality, and regional distribution, through natural language in AI clients.

Enables MCP clients to fetch Google Trends data for any term, including interest over time, interest by region, and related queries and topics, all as structured JSON.

Free, read-only MCP server that connects AI assistants to OpenEMIS school management. Query student attendance, risks, staff, and 678 resources.