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Alternatives to mcp-oeis

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables identifying integer sequences from observed terms, searching the On-Line Encyclopedia of Integer Sequences with its native query syntax, and reading entry formulas, programs, comments, b-file terms, and cross-references. Runs over STDIO or Streamable HTTP with no API key, returning linked, provenance-bearing results.
      243 npm
      1
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables fast local searching and analysis of OEIS sequences through MCP clients, including term/text search, transform identification, recurrence guessing, and formula-based term extension.
      11
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables exploration and computation of mathematical integer sequences from OEIS using the LODA assembly language. Supports sequence discovery, program execution, algorithmic mining, and real-time computation of mathematical sequences.
      8
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables searching and retrieving academic paper metadata, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API. Supports batch operations, customizable fields, snippet search, and both authenticated and unauthenticated access.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying the O*NET occupation taxonomy, including keyword search, occupation details, skills, and associated tools and technology.
      5 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables searching ENA's public sequencing data by organism, study, platform, country or date, retrieving FASTQ/BAM download URLs and checksums, and discovering available result types and fields.
      271 npm
      MIT