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Related Servers

Alternatives to metabo-idmapper

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides biological identifier mapping via BridgeDb webservice, allowing LLMs to convert identifiers like Ensembl to HGNC symbols through MCP tools.
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to resolve and cross-reference biological entities such as genes, proteins, and aliases across authoritative databases like HGNC, NCBI Entrez, and UniProt, with confidence scores and source citations.
      3
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables LLM agents to perform stateful genome-scale metabolic modeling with COBRApy through the Model Context Protocol, including loading models, knocking out genes, running flux balance analysis, and inspecting flux distributions.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a local-first chemistry workbench for AI agents, enabling SMILES validation with human-readable diagnostics, molecule drawing, property calculation, format conversion, standardization, and batch cleaning via MCP.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
      20
      AGPL 3.0

    TDQS

    A3.6/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct step in the metabolomics ID mapping workflow, from ingestion and matching to verification, decision recording, and reporting. Descriptions are detailed and clearly differentiate overlapping functions like exact_match vs search_synonym or bridge_xref vs backfill_hmdb.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., structure_lookup, ingest_names, exact_match). No mixing of conventions or vague verbs.

    Tool Count4/5

    20 tools is on the higher end but justified by the complex multi-stage pipeline. Each tool has a clear role, and the count supports the full workflow without unnecessary redundancy.

    Completeness5/5

    The tool set covers the entire metabolomics ID mapping process: input handling, matching, verification, exclusion, decision recording, cross-referencing, report generation, and audit. No obvious gaps are present.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues