Provides a cognitive scaffold to catch reasoning shortcuts and premature conclusions before answering complex analytical questions.
MIT
535,671 tools. Updated 2026-09-08 16:37
"A platform for asking and answering questions in Chinese" matching MCP tools:
- Define federal-spending terms from USAspending glossary to confirm terminology before answering compliance or budget questions.MIT
- Retrieve the Aurum library version, manifest SHA, generation timestamp, and platform coverage to verify the exact snapshot before answering version-specific questions.MIT
- Get safe alternative Chinese words for flagged sensitive content to comply with platform rules. Returns suggestions for a specific word or the full library.MIT
- Index a GitHub repository to analyze its codebase. This must be done before asking questions about the repository.MIT
- Search indexed code and documentation using hybrid semantic and keyword retrieval. Ideal for answering questions about your codebase and project architecture.Apache 2.0
Matching MCP Servers
- FlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4-
- FlicenseNot gradedqualityDmaintenanceEnables AI models to ask users questions through a local web interface, supporting batch questions, multi-select, and free text for human-in-the-loop interactions.-
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- Create and publish announcements for the AceDataCloud platform. Set confirm=true to activate; Chinese content auto-translates to other locales.MIT
- Retrieve trending datasets from ModelScope (魔塔社区) Chinese AI platform with pagination and optional filtering.MIT
- Analyze local images for OCR, content extraction, description, comparison, or question answering with a single API call.MIT
- Get exact dates of Chinese sanfu (dog days) and sanjiu (coldest period) for any year to support traditional Chinese medicine seasonal therapy.MIT
- Draw a Chinese temple fortune slip (qiānzi) and receive a traditional interpretation with predictions for guidance.MIT
- Get the stroke count for each Chinese character in a text. Useful for Hanzi learning, handwriting apps, and character grading.MIT
- Fetch trending AI models from ModelScope platform by search, sort, and pagination to discover popular Chinese community machine learning models.MIT
- Get traditional Chinese dream interpretations from Zhou Gong's dream dictionary. Enter a dream subject keyword in Chinese to discover its meaning.MIT
- Convert Simplified Chinese text to Traditional Chinese (Taiwan standard) using OpenCC for accurate character set conversion.MIT
- Fetch recent individual purchases with details like paid date, product, country, platform, and payout amounts. Use for answering purchase-level questions.-
- Retrieve currently valid memories for a query, excluding superseded facts at the database level. Call before answering any memory-dependent question, and optionally filter by metadata such as ticker.Apache 2.0
- Convert a public webpage URL into clean markdown by stripping ads, navigation, and scripts. Get token-efficient content for summarizing, extracting facts, or answering questions.MIT
- Investigate cybersecurity threats, generate PowerQueries, and get answers about SentinelOne by asking questions in plain language.MIT
- Retrieve semantically relevant memories before answering questions that rely on prior context, decisions, or user preferences.MIT
- Searches memory with cross-encoder reranking to verify relevance before answering, reducing false abstains on answerable questions.Apache 2.0