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probe-research

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jul 2026. How this is checked

probe-research is an open-source CLI and SDK tool for tracking machine learning experiments and integrating with the Model Context Protocol (MCP). It provides read-only MCP client capabilities, supporting reproducible research and MLOps workflows for ML engineers and researchers.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

5 features

Purpose: Simplifying experiment tracking and integration with MCP for machine learning research workflows.

Inferred · not functionally tested

Audience: Machine learning researchers and engineers

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

probe-research is an Other data science & ML project. Inferred · not functionally tested: It focuses on simplifying experiment tracking and integration with MCP for machine learning research workflows. Inferred · not functionally tested: probe-research is an open-source project aimed at machine learning researchers and engineers. Basis unknown · not verified: probe-research is open source under the MIT license. Basis unknown · not verified: It ships for the command line.

probe-research first shipped in 2026. Development happens publicly on GitHub with 51 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include experiment tracking, CLI interface, and SDK integration. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Experiment tracking
  • CLI interface
  • SDK integration
  • MCP client
  • Read-only access

Topics: Inferred · not functionally tested

Tags
experiment-trackingmcp-clientmlops-tooling
AI capabilities
Structured

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

24

What PulseGate has recorded for this listing

  1. Indexed7 Oct · 12:10 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed7 Oct · 10:01 UTC
    probe-research seen via PyPI Fresh Feed
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  3. Indexed7 Oct · 08:25 UTC
    probe-research seen via PyPI Fresh Feed
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  4. Indexed7 Oct · 06:48 UTC
    probe-research seen via PyPI Fresh Feed
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  5. Indexed7 Oct · 06:16 UTC
    probe-research seen via PyPI Fresh Feed
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  6. Indexed7 Oct · 03:20 UTC
    probe-research seen via PyPI Fresh Feed
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  7. Indexed7 Oct · 02:47 UTC
    probe-research seen via PyPI Fresh Feed
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  8. Indexed7 Oct · 00:55 UTC
    probe-research seen via PyPI Fresh Feed
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  9. Indexed6 Oct · 22:14 UTC
    probe-research seen via PyPI Fresh Feed
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  10. Indexed6 Oct · 20:22 UTC
    probe-research seen via PyPI Fresh Feed
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  11. Indexed6 Oct · 04:32 UTC
    probe-research seen via PyPI Fresh Feed
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  12. Indexed6 Oct · 04:15 UTC
    probe-research seen via PyPI Fresh Feed
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  13. Indexed6 Oct · 03:43 UTC
    probe-research seen via PyPI Fresh Feed
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  14. Indexed6 Oct · 03:11 UTC
    probe-research seen via PyPI Fresh Feed
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  15. Indexed6 Oct · 02:39 UTC
    probe-research seen via PyPI Fresh Feed
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  16. Indexed5 Oct · 23:26 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  17. Indexed5 Oct · 21:49 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  18. Indexed5 Oct · 12:42 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  19. Indexed5 Oct · 10:50 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  20. Indexed5 Oct · 08:07 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  21. Indexed5 Oct · 05:42 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  22. Indexed5 Oct · 04:37 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  23. Indexed4 Oct · 06:49 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  24. Indexed4 Oct · 06:01 UTC
    probe-research seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about probe-research

What does probe-research do?
Inferred · not functionally tested: Probe-research focuses on simplifying experiment tracking and integration with MCP for machine learning research workflows. It is catalogued under Other data science & ML on PulseGate.
Who should use probe-research?
Inferred · not functionally tested: probe-research is an open-source project built for machine learning researchers and engineers.
Does probe-research have a free plan?
Basis unknown · not verified: Yes — probe-research is open source under the MIT license and free to use.
What platforms does probe-research run on?
Basis unknown · not verified: probe-research runs on the command line.
Is probe-research still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 51 commits in the last 90 days.
How long has probe-research been around?
probe-research first shipped in 2026.
Is probe-research open source?
Basis unknown · not verified: Yes — probe-research is open source under the MIT license, developed on GitHub.
Does probe-research have an API or integrations?
Basis unknown · not verified: Yes — probe-research exposes an MCP server.

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