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    🔐 MCP OAuth & Authorization Contract Preflight

    by JustHandled Labs

    1

    Validate supplied MCP OAuth metadata and transcripts for discovery, audience, scopes, PKCE, challenges, and token hazards.

    $19

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    You say

    Set rule_snapshot to MCP-2025-06-18; metadata_documents[] uses document_id, kind, issuer and authorization servers; transcripts[] uses transcript_id, status, challenge, issuer, resource indicator, PKCE, scopes, audience validation, and passthrough evidence.

    Your agent does

    A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.

    What you get

    Preflight an MCP 401 discovery exchangeCheck PKCE and resource-indicator evidenceBlock token passthrough and wrong-audience acceptance evidence

    About this skill

    MCP OAuth & Authorization Contract Preflight turns owner-supplied normalized evidence into a deterministic local review gate. MCP server and client teams debug 401 challenges, protected-resource metadata, issuer discovery, resource indicators, PKCE, scopes, and token audience from ad hoc traces. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. Applies an explicit MCP-2025-06-18 rule snapshot to supplied metadata and normalized transcripts and blocks token passthrough and missing audience validation. It uses only the Python standard library, makes no network request, changes no account or system, and never treats READY as source proof, certification, a legal or security verdict, a reimbursement promise, or authorization to act.

    mcp
    oauth
    authorization
    contract
    preflight

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    JustHandled Labs

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

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