pulsemcp scanned Safe content atomic mcp-remote

Waifu Queue

MCP Waifu Queue implements a server for a conversational AI 'waifu' character using a Redis queue system for handling concurrent text generation requests. Developed by WaifuAI, it leverages the FastMCP library to provide a clean API interface while using distilgpt2 for text generation with optional GPU acceleration. The architecture separates concerns between queue management, worker processing, and text generation services, making it efficient for handling multiple simultaneous requests while maintaining responsiveness in conversational AI applications.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/waifuai/mcp-waifu-queue
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Waifu Queue 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"