An MCP server that fact-checks AI bug diagnoses against AST evidence
Forces LLMs to debug with AST evidence instead of pattern-matching symptoms.
authprobe pinpoints MCP OAuth failures
The project maps the entire OAuth/MCP discovery-to-DCR funnel and gives actionable failure points — e.g., missing WWW-Authenticate headers, malformed PRM or issuer metadata, or broken token endpoints. It’s a focused, practical CLI that also fits into CI (GitHub Actions badge, quickscan command), so teams can catch auth regressions before rollout. Niche but very useful if you run or validate MCP/OAuth endpoints; wider adoption will depend on more examples and integration templates.
Backend developers, platform/security engineers, DevOps/CI teams, MCP implementers
Forces LLMs to debug with AST evidence instead of pattern-matching symptoms.
No-signup OAuth inspector that handles CORS proxies and detects MCP servers automatically.
Cross-checks ChatGPT, Perplexity, and Google AI for whether they cite your site, then surfaces the exact buyer questions you're missing and auto-generates 'fix pages' with tables, FAQ blocks and Schema.org-ready markup. It even gives shareable report URLs and an OpenClaw skill to prove visibility to stakeholders — clever, practical tooling for anyone worried about LLM-driven referral loss, though expect churn from changing model answers and API limits.
RFC-compliant OAuth framework for MCP servers when the protocol lacks built-in auth.
Free read-only MCP server for Search Console when most others gate data behind paywalls.
Elegant DNS bootstrap for MCP discovery, but adoption depends on MCP ecosystem maturity.