Factual package intelligence from PyPI

parkour-mcp 2.1.0 package intelligence

A content exploration toolkit that helps LLMs surface high signal, unsummarized web content.

pip install parkour-mcp

Current version
2.1.0
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
741.5 KiB
Release history
12 releases with files
Median release cadence
2 days

parkour-mcp dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. betamatter >=0.1.0
  2. mcp
  3. kagiapi
  4. beautifulsoup4
  5. httpx
  6. curl-cffi >=0.15.0
  7. playwright
  8. markdownify
  9. semantic-text-splitter >=0.29.0
  10. tantivy >=0.25.1
  11. pyyaml >=6.0.3
  12. tree-sitter >=0.24

The compact report shows 12 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

parkour-mcp publishes 1 wheel and 1 source archive for version 2.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Security snapshot for parkour-mcp 2.1.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.