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@contextualizer-ai

contextualizer-ai

README.md

Tools for inferring some missing metadata about an entity from other present metadata fields

Currently MCP-oriented.

Looking into the limits of

  • giving succinct instructions for multi-step processes
  • operating over large input sets

inspired by

see also: https://github.com/microbiomedata/nmdc-mcp

For evaluating the performance of these and similar MCP servers, try https://github.com/ai4curation/metacoder

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Repositories

Showing 10 of 16 repositories
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    A Python CLI wrapper for running AI coder agents (claude code, gemini-cli, etc)

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    Python 5 BSD-3-Clause 1 1 8 Updated Sep 20, 2026
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    Simple experiment to compare ENVO similarity to google embedding cosine similarity

    contextualizer-ai/env-embeddings's past year of commit activity
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  • mcp_literature_eval Public

    Evaluation of MCPs that retrieve scientific literature

    contextualizer-ai/mcp_literature_eval's past year of commit activity
    Jupyter Notebook 2 BSD-3-Clause 0 1 5 Updated Dec 17, 2025
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    Infer AI-friendly environmental and geographic metadata about biosamples from multiple authoritative sources

    contextualizer-ai/biosample-enricher's past year of commit activity
    Python 0 BSD-3-Clause 0 61 0 Updated Nov 25, 2025
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    ARCHIVED - replaced by contextualizer-ai/artl-mcp

    contextualizer-ai/artl-mcp's past year of commit activity
    Python 2 MIT 0 42 1 Updated Nov 3, 2025
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    tools for converting content in other databases (like Biosamples in MongoDB) to DuckDB

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    Python 0 0 9 1 Updated Sep 18, 2025
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