Factual package intelligence from PyPI

vector-mcp 2.1.2 package intelligence

Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies.

pip install vector-mcp

Current version
2.1.2
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
201.2 KiB
Release history
88 releases with files
Median release cadence
1 days

vector-mcp dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. agent-utilities >=1.0.0
  2. epistemic-graph >=2.7.0
  3. markdownify >=1.2.2
  4. beautifulsoup4 >=4.14.3
  5. ebooklib >=0.20
  6. html2text >=2025.4.15
  7. ipython >=1.0.0
  8. pypdf >=6.7.2
  9. protobuf >=6.33.5
  10. llama-index-core >=0.14.15
  11. llama-index-llms-langchain >=0.7.2
  12. llama-index-readers-file >=0.5.6

The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vector-mcp publishes 1 wheel and 1 source archive for version 2.1.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for vector-mcp 2.1.2

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.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 88 releases with files. The first dated release is ; 88 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.