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PromptX
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
You can run an MCP server to empower AI applications with programmable expert roles, memory, and tool integrations. This server makes it easy to connect your AI apps to scripted expert capabilities via HTTP endpoints or local runtimes, so you can orchestrate complex AI behavior without manual reconfiguration each time.
How to use
You interact with the MCP server through an MCP client. Start the server via one of several options, then configure your AI application to reach the MCP endpoint. Once connected, you can steer AI behavior by selecting expert roles, activating tools, and maintaining long-term context across chat sessions.
Recommended pattern: choose an MCP connection method, then add the MCP server entry to your AI tool configuration. When you say the trigger phrase or ask for an expert, your AI tool will switch into that expert’s role and keep acting with that identity for the session.
How to install
Prerequisites: you need Node.js installed or a compatible runtime, plus access to a shell or terminal. You will also need a client or a way to run the MCP server locally.
Step 1 — Install using the direct run option shows how to use a package runner to start the MCP server.
Step 2 — Run the server via a container for production environments.
HTTP connection and local runtime options
You can connect to the MCP server over HTTP so your AI applications call a local endpoint.
You can also run the MCP server as a local tool via a standard runtime command, and point your AI application to that local server.
Usage examples and start commands
HTTP method example start point (local endpoint): you connect to the server at http://127.0.0.1:5203/mcp and begin sending requests for expert roles.
Local runtime example: you run a runtime command to start the MCP server, then configure your client with the local endpoint.
Notes and best practices
Keep the expert state active during sessions to preserve context and memory. Use natural language to request expert capabilities rather than specialized commands. This approach simplifies collaboration with AI agents.
Available tools
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Nuwa
AI Role Designer that creates specialized professional roles from natural language, enabling tailored expert behavior.
Luban
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