pulsemcp Safe content atomic mcp-remote

HMR Docs

This MCP server provides access to HMR (Hot Module Replacement) documentation for reactive programming and hot reloading in Python through a streamable HTTP protocol endpoint. Built to serve guides, examples, conceptual explanations, architecture overviews, and complete HMR library source code, it integrates with popular development environments like Cursor, Claude Code, and VS Code through direct configuration or the mcp-remote CLI proxy. The implementation focuses on making HMR documentation easily accessible to AI assistants, with planned features including integration library docs and a built-in AI assistant for HMR concepts, making it valuable for Python developers working with reactive programming patterns and hot reloading workflows.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve HMR Docs from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"