Skip to main content
Glama
536,115 tools. Updated 2026-09-08 17:51

"A platform for asking and answering questions in Chinese" matching MCP tools:

  • Provides a cognitive scaffold to catch reasoning shortcuts and premature conclusions before answering complex analytical questions.
    MIT
  • 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
  • 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

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables 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
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables 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.
    -

Matching MCP Connectors

  • 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
  • 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  • Retrieve currently valid memories for a query, excluding superseded facts at the database level.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