pulsemcp scanned Safe content atomic mcp-remote

WebSocket MCP Bridge

This MCP server runner, developed by yonaka, provides a WebSocket-based interface for AI assistants to interact with various tools and resources. It implements the MCP protocol version 2024-11-05, supporting capabilities like sampling and offering methods for initialization, resource listing, and tool management. The server is containerized using Docker for easy deployment and includes support for Node.js, Python, and uv package manager, enabling a wide range of potential integrations. By abstracting tool interactions through a standardized WebSocket API, this implementation facilitates AI systems in performing diverse tasks across different environments. It is particularly useful for developers and organizations looking to create flexible, scalable AI assistant applications that can leverage multiple tools and resources through a unified interface.

Cognium trust score

62%

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/yonaka15/mcp-server-runner
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve WebSocket MCP Bridge 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"