Validates an MCP server's publishability against MCP Registry, Smithery, and npm requirements by checking artifacts like server.json, package.json, smithery.yaml, pyproject.toml, and README. It reports evidence-based findings, blockers, and concrete fixes for directory-specific rules.
From the registry: Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
Please install the `preflight` MCP server into my current AI client (that's you).
Canonical MCP server config (HTTP transport):
- url: `https://skillfoundry.synaplex.ai/products/preflight/mcp/`
Note: README provides a hosted MCP endpoint using Streamable HTTP. No authentication or environment variables are documented. REST API is also available separately at /products/preflight/api/check, but the MCP config endpoint is /products/preflight/mcp/.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.