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Related Servers

Alternatives to Bio_MCP

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI-powered protein structure prediction and variant analysis via Docker, with tools for submitting predictions, batch processing variants, and monitoring jobs.
      1
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to generate publication-quality bioinformatics visualizations (volcano plots, PCA, heatmaps, etc.) directly from raw biological data.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables protein stability prediction ($DeltaDelta$G and $Delta$Tm) and systematic mutation analysis using the SPIRED-Stab deep learning model. It supports single variant analysis, batch processing, and job monitoring via Docker-based inference.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables protein sequence analysis and structure prediction by extracting ESM-2 embeddings and batch processing FASTA files via Docker. It provides tools for large-scale embedding extraction, job monitoring, and model management within an MCP-compatible environment.
      -
    • F
      license
      A
      quality
      D
      maintenance
      Enables analysis of bulk RNA-seq data using natural language queries, executing R and Python in a Docker container with automatic sample anonymization and privacy controls.
      7
      -
    • A
      license
      C
      quality
      C
      maintenance
      Enables workflow management and Docker image building for Bio-OS platform. Supports WDL workflow submission, validation, and monitoring, along with Docker image building and status tracking for bioinformatics workflows.
      22
      5
      MIT

    TDQS

    B3.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct purpose: listing tools, describing them, submitting jobs, checking input, monitoring status/logs, canceling, and listing artifacts. No overlaps.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case (e.g., list_tools, submit_job, get_job_status). No deviations.

    Tool Count5/5

    8 tools is well-scoped for a bioinformatics job submission and management server. Each tool serves a necessary function without bloat.

    Completeness5/5

    Covers the full lifecycle: discovery (list, describe), submission (check, submit), monitoring (status, logs, cancel), and retrieval (artifacts). No obvious gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues