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🔐 MCP OAuth & Authorization Contract Preflight
Preflight redacted MCP 2026-07-28 OAuth evidence for issuer discovery, registration, PKCE, scopes, token audience, refresh behavior, and role-specific gaps.
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You say
Set rule_snapshot to MCP-2026-07-28 and spec_status to stable; supply the pinned official source digests, declared implementation_role, metadata documents, registrations, redacted transcripts, and non-empty evidence references.
Your agent does
A deterministic READY, REVIEW, BLOCK, or CANNOT_ASSESS result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.
What you get
About this skill
MCP OAuth & Authorization Contract Preflight turns owner-supplied, redacted OAuth evidence into a deterministic local migration gate for the stable MCP 2026-07-28 profile. It checks protected-resource and authorization-server metadata alignment, exact issuer discovery, DCR application_type and issuer-bound registration, PKCE, resource indicators, token audience, step-up scope union, refresh guidance, evidence references, and declared client/server role coverage. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. It runs offline, handles no live token or credential, and returns CANNOT_ASSESS when role-relevant evidence is incomplete. READY does not prove interoperability, authorize deployment, or provide a security certification.
Changelog
- v1.1LatestAug 4, 2026
Updated to stable MCP 2026-07-28. Adds exact issuer and discovery validation, DCR application_type and issuer-bound registration checks, step-up scope-union and refresh guidance, role-specific client/server evaluation, evidence-reference enforcement, and CANNOT_ASSESS for incomplete evidence. Validated with 11 product tests plus focused runs against the official TypeScript SDK and MCP Inspector. Still offline, secret-free, and not a security certification.
- v1.0Aug 1, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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I already had a forecasting tool but this gave us more detail that I had Claude take the best parts and merge it into my current agent to make it more robust.
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