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sci-bot-mcp

sci-bot-mcp

by lnkvv210-eng
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

sci-bot-mcp

mcp config:

command: python args: server.py env: DEEPSEEK_API_KEY

Available Tools

3 tools
ask_research_questionA

Ask a research question and get an AI-generated answer with real paper citations.

Searches academic papers and uses an LLM to synthesize an answer with proper citations [1][2][3].

Args: question: Your research question (e.g. "What are the latest CRISPR clinical applications?") num_references: Number of reference papers to use (default 8, max 15)

Returns: A well-structured answer with inline citations and a reference list with DOIs.

Inputs: question (required), num_references. Returns: result

get_paper_detailsA

Get detailed information about a specific paper by its DOI.

Args: doi: The DOI of the paper (e.g. "10.1038/nature14539")

Returns: Detailed paper info including full abstract, all authors, journal, and citation count.

Inputs: doi (required). Returns: result

search_papersA

Search 200M+ academic papers using CrossRef API.

Args: query: Search query (e.g. "CRISPR gene editing", "transformer attention mechanism") limit: Number of results to return (default 8, max 20)

Returns: List of papers with title, authors, year, citation count, DOI, and abstract.

Inputs: query (required), limit. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: asking a research question, fetching paper details by DOI, and searching papers. There is no ambiguity or overlap.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case: ask_research_question, get_paper_details, search_papers.

    Tool Count4/5

    Three tools is on the lower end but still appropriate for a focused research assistant. Each tool serves a core function without unnecessary bloat.

    Completeness4/5

    Covers the main research workflow: search, details, and Q&A. Missing features like citation export or recommendations, but the surface is reasonably complete for its scope.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

    Related MCP Connectors

    Related MCP Servers

    • Deep Research MCP Server

      wlu03
      F
      license
      Not graded
      quality
      D
      maintenance
      An advanced scholarly research MCP server that enables AI assistants to discover, fetch, process, and manage academic papers across multiple sources like arXiv, PubMed, and Semantic Scholar, with capabilities for summarization, citation analysis, and concept relationship extraction.
      2
      -