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Resources for Writing Academic Papers

  • Why this server?

    This server enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata and abstracts.

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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
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    11
    Python
    AGPL 3.0
  • Why this server?

    Provides read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language, useful for finding resources for paper writing.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
    4
    Python
    MIT License
    • Apple
  • Why this server?

    Provides RAG (Retrieval Augmented Generation) capabilities for semantic document search, allowing users to add, search, list, and delete documentation with metadata support. Useful for managing research papers and notes.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
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    4
    TypeScript
    Apache 2.0
  • Why this server?

    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation relevant to academic research involving software or code.

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    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
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    25
    JavaScript
    AGPL 3.0
    • Apple
  • Why this server?

    Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts which may include discussions related to paper writing, research and collaboration.

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    Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts with various filtering options and formats.
    4
    JavaScript
    • Apple
  • Why this server?

    A utility that helps diagnose and fix GitHub Actions workflow failures by analyzing run logs and suggesting fixes, useful for collaborating and troubleshooting issues during the paper writing process if using git.

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    A utility that helps diagnose and fix GitHub Actions workflow failures by analyzing run logs, identifying common failure patterns, and suggesting specific fixes through a structured decision tree.
    TypeScript
  • Why this server?

    Enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings. Very helpful for searching personal research notes.

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    A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.
    TypeScript
    • Apple
  • Why this server?

    This server allows AI models to directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.

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    This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.
    598
    7
    JavaScript