A GitHub OAuth authentication proxy MCP server running on Cloudflare Workers, enabling secure user authentication via GitHub and providing access to GitHub API tools with conditional access control
This server has significant definition quality gaps. While tool names are reasonably clear (add, userInfoOctokit, generateImage), several parameters lack descriptions, and output schemas are not explicitly documented. The 'add' tool is overly trivial for production. The 'generateImage' tool has good parameter constraints (min/max for steps) and descriptions, but userInfoOctokit lacks any parameter documentation despite having an empty input schema. No structured output schemas are documented, forcing LLMs to infer response structure. Error handling is absent, no guidance on retryability or recovery strategies.
Add two numbers the way only MCP can
Generate an image using the `flux-1-schnell` model. Works best with 8 steps.
Get user info from GitHub, via Octokit
Output schemas not documented for any tool. LLMs must infer response structure from behavior, increasing errors and reducing composability.
userInfoOctokit has empty input schema {} but description does not explain what it returns or what it requires (implicit: GitHub auth token via this.props.accessToken). No documentation of prerequisites or return structure.
add tool is a trivial arithmetic operation ('Add two numbers the way only MCP can'). Not production-worthy; likely a template placeholder. Should be removed or replaced with domain-relevant tools.
No error handling guidance. Tools do not document what errors may occur, whether they are retryable, or what the LLM should do on failure. generateImage could timeout or hit quota limits, no recovery strategy.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 50 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 45 | - | v1 |
generateImage description lacks mention of when to call it and what the response contains (e.g., 'Returns a JPEG image data URI'). Current description focuses on model name and step count but not on output format or use case.