"PyPI" matching MCP servers:

Wraps the Python Package Index (PyPI) JSON API to enable querying package information, such as details and versions, without authentication.

Supply chain risk scoring for npm, PyPI, and GitHub repos

A Model Context Protocol server that provides AI coding agents with real, live, source-cited documentation for npm, PyPI, and Cargo packages, including READMEs, metadata, vulnerability checks, and package search.

Checks npm and PyPI packages for outdated versions, deprecation status, and breaking changes with cited sources, enabling AI agents to verify dependency freshness.

A Model Context Protocol server for checking package versions and metadata across multiple package managers including npm, PyPI, Maven, NuGet, RubyGems, Crates.io, and Go modules.

Translates a lockfile diff into a human-readable upgrade plan. For every dependency bump (npm or PyPI) returns semver class, breaking changes from GitHub release notes, CVEs fixed in the range, migration guide links, and a clear per-package recommendation. Bulk tool ranks up to 50 package changes in parallel by risk (security > caution > review > likely-safe > safe).

Provides npm/PyPI package intelligence including health scores, vulnerabilities, dependency graphs, and download counts via an MCP server, with optional pay-per-call access over x402 for advanced health and batch endpoints.

The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, and expiring share links; available on npm (@artifacta-mcp/mcp) and PyPI (artifacta-mcp).

A local-first MCP server for web search and documentation fetching, providing free DuckDuckGo search, URL-to-markdown conversion, and library docs from npm, PyPI, crates.io, Go, and GitHub with caching.

Search 21 sources in one call — GitHub, npm, PyPI, arXiv, HN, X, Reddit, and more. No API keys to juggle, structured JSON back.

Enables AI builders to discover trending open-source projects for a given task by ranking repos based on GitHub momentum, npm/PyPI growth, and Hacker News buzz, with tools to recommend, search, assess health, and compare repositories.

Acts as a security checkpoint for AI coding agents by intercepting package installations to verify existence, check against CVE databases, and block vulnerable or hallucinated dependencies before they reach your codebase. Provides seven security tools including pre-install gates, full project audits, safe version recommendations, and deep transitive dependency scanning for npm and PyPI packages.

A codemode MCP server for fetching and querying dependency source code from npm, PyPI, crates.io, and GitHub. It allows agents to execute server-side JavaScript for context-efficient searching and browsing of large codebases without overwhelming the LLM's context window.

Deterministic supply-chain provenance, SBOM/AI-BOM generation, and dependency risk analysis for npm and PyPI packages, with 14 security rules and verifiable reports.

Enables AI assistants to search and retrieve detailed package information from multiple package registries (NPM, crates.io, NuGet, PyPI, Go).

Enables users to brainstorm brandable domain names from a description, check their real-time availability across domains and GitHub/npm/PyPI namespaces, and get ranked buy candidates via RDAP.

Intelligently detects package managers and provides unified access to documentation and information across 15+ package ecosystems including npm, PyPI, and others. Automatically routes requests to appropriate package-specific MCP servers for README retrieval, package information, and cross-ecosystem package search.

An MCP server that provides tools to fetch live, version-accurate documentation, changelogs, examples, and method signatures for npm and PyPI packages, preventing AI coding agents from hallucinating stale APIs.

Enables users to look up package versions, scan for vulnerabilities, and analyze dependencies across multiple registries (npm, Maven, PyPI, etc.) using exact version recommendations for security.

Enables users to scan software packages for data exfiltration and security threats directly within their IDE across npm, PyPI, Cargo, and Maven ecosystems. This tool helps ensure the safety of project dependencies by identifying potential risks before they are integrated.