Server detail
ws-mcp solves a critical connectivity gap for developers who need to expose Model Context Protocol (MCP) servers over a network rather than relying on local stdio transport. By wrapping MCP servers in a WebSocket layer, it enables remote LLM clients and specialized interfaces—like Kibitz—to interact with your tools and resources across different machines or containers. This is particularly useful for team-based AI workflows or deploying MCP servers to cloud environments where a persistent socket connection is required. Instead of rewriting your server logic, you can simply use this wrapper to bridge your existing MCP implementation to a web-accessible endpoint, simplifying the integration between your backend tools and remote AI agents.
An MCP server that exposes ws-mcp capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
ws-mcp
Call the MCP capabilities provided by ws-mcp and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"ws-mcp": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page