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Julia MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

71,071 tools. Last updated 2026-02-09 02:59
  • Check the current version of a package from official registries to identify outdated dependencies. Supports npm, PyPI, Packagist, Crates.io, Maven, Go, RubyGems, NuGet, Hex, CRAN, CPAN, pub.dev, Homebrew, Conda, Clojars, Hackage, Julia, Swift PM, and Chocolatey.
    MIT
  • Read and monitor process output with intelligent completion detection. Automatically identifies when a process is ready for input or has finished, preventing timeouts and hangs. Works across Python, Node.js, R, Julia, and other REPL environments.
    MIT
  • Check package version availability across 20+ ecosystems to maintain current dependencies and avoid outdated libraries in development workflows.
    MIT
  • Send input to running processes and receive responses for local file analysis. Use Python REPLs or command-line tools for CSV, JSON, and binary file processing. Ensures smart detection, clean output formatting, and bypasses local file access restrictions.
    MIT
  • Read output from running processes with intelligent completion detection. Automatically identifies when processes are ready for input or have finished execution, preventing timeouts on interactive prompts.
    MIT

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