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Publish MCP AI tools to PyPI using API tokens or OIDC

By PulseAugur Editorial · [1 sources] ·

This article details two methods for publishing an MCP (Model Context Protocol) server to PyPI, enabling AI systems to access custom tools. The first method involves using an API token stored as a GitHub secret, which offers a faster setup. The second, recommended method utilizes OIDC Trusted Publisher, providing enhanced security by avoiding token storage and enabling direct authentication between GitHub Actions and PyPI. AI

IMPACT Enables developers to distribute custom tools for AI assistants, expanding the capabilities of AI systems.

RANK_REASON The article describes a technical process for publishing software packages, which are tools for AI systems.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Gabriel Mahia ·

    How to Publish an MCP Server to PyPI — Two Methods (Token vs OIDC)

    <p>Publishing your first MCP server to PyPI unlocks distribution to any AI system in the world. Here's the exact workflow used for the East Africa AI Stack, covering both publishing methods.</p> <h2> What You're Publishing </h2> <p>An MCP (Model Context Protocol) server is a Pyth…

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