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190,564 tools. Last updated 2026-06-10 20:03

"PyPI" matching MCP tools:

  • Python package metadata from PyPI. Returns latest version, summary, author, license, Python version requirement, install dependencies, release date, and download URLs. Also supports fetching a specific version. Use before integrating a Python library: check if it's actively maintained, what license it uses, and whether it's compatible with your Python version. Free upstream: PyPI JSON API (no key, no rate limit for normal use).
    Connector
  • Retrieve the SPDX licence identifier for an open source package by specifying its name, version, and ecosystem. Use this to verify licence compatibility before including the dependency.
    MIT
  • Detect typosquatting attacks on package names by comparing against top 10,000 packages using Damerau-Levenshtein distance. Returns similar packages with anomaly scores and a CLEAN or SUSPICIOUS verdict.
    MIT

Matching MCP Servers

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    A security-focused MCP server that enables AI assistants to search PyPI packages, scan for vulnerabilities, audit dependencies, and ensure security across Python projects.
    Last updated
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    MIT
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    An MCP server built with FastMCP that provides basic terminal abilities like running commands, running Python, and working with files and folders.
    Last updated

Matching MCP Connectors

  • PyPI MCP — wraps the Python Package Index (PyPI) JSON API (free, no auth).

  • PyPIStats.org — PyPI download statistics

  • Find MCP servers across registries by describing capabilities or keywords. Returns ranked candidates with details and optional token-cost comparison.
    MIT
  • Check developer laptops for any installs of a PyPI package to identify potential exposure. Searches all enrolled dev machines, returning all installs or filter by versions. Complements CI checks for comprehensive malicious package incident response.
    Apache 2.0
  • Checks monitored GitHub repositories within an organization for usage of a specified PyPI package at given versions, identifying affected CI pipelines. Use with developer machine checks for full coverage.
    Apache 2.0
  • Retrieve full details of a security threat incident, including compromised package names, versions, and C2 domains/IPs. After listing incidents, use this to extract concrete IOCs and determine which exposure checks to run based on the ecosystem (npm or pypi).
    Apache 2.0
  • Check if your installed MCP server version is up to date by comparing it with the latest PyPI release. Displays local and latest versions and a verdict. Does not perform upgrades.
    MIT
  • Retrieve package metadata including license, latest version, description, downloads, and dependencies count from 40+ package registries. Use to get information about specific packages in ecosystems like npm, PyPI, RubyGems, or Cargo.
    MIT
  • Retrieve public details about a software package, including its description, latest version, license, repository links, homepage, and malicious status. Supported types: PyPI, npm, Maven, Golang, NuGet, Huggingface, RubyGems.
    Apache 2.0
  • Check the PyPI version of lotw-mcp and the ARRL LoTW schema version to detect version drift across MCP deployments.
    GPL 3.0
  • Run a multi-source intelligence report by searching up to 18 platforms (HN, GitHub, npm, PyPI, X, Reddit, YouTube, and more) in parallel. Choose a focus preset—balanced (14 free APIs), trending, or comprehensive—or specify exact sources. Requires a query; returns structured JSON results.
    MIT
  • Retrieve the running version of qrz-mcp and the QRZ API contract to detect drift across MCP deployments.
    GPL 3.0
  • Check if a product idea already exists by scanning GitHub, Hacker News, npm, PyPI and Product Hunt to identify competition and market saturation before building.
    MIT
  • Search for NPM or Python packages by name to get repository URLs, check deprecation status, and compare alternatives. Returns direct links to source code for further exploration.
    TypeScript
    MIT
  • Search npm or PyPI to estimate market crowdedness for a package category, validating claims about market emptiness or competitiveness.
    MIT