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Basic information
This project automates email-based user registration for LLM apps using the Model Context Protocol (MCP). It acts as a simple backend that receives email addresses from users, registers them with an MCP-compatible LLM server, and returns the generated API key or access token.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This server exposes powerful APIs built on the Model Context Protocol (MCP), combining traditional API endpoints with model-based communication. It is designed for developers who want next-generation, intelligent API architectures—using Domain-Driven Design (DDD) to secure workflows like registration, login, and password change.
Send a POST request to https://localhost:7190/api/Prompt/SendUserPrompt/SendUserPrompt with a JSON body containing a Prompt string. The server internally calls an MCP client, which communicates with an MCP server, and returns the final response. Commands like "register", "login", and "change password" are included in the prompt text.
Instead of fixed endpoints and JSON contracts, this server uses MCP to process natural-language prompts internally. You send a simple text prompt; the server handles the MCP client/server interaction and returns a clean response.
The server runs on ASP.NET Core with MCP libraries, Serilog, and follows clean architecture principles. The example runs locally on port 7190 and requires the .NET runtime.
The README does not specify storage details. The examples show email and password being handled, but no database or data location is mentioned.
Only registration, login, and password change workflows are demonstrated in the README. No limits on prompts, session handling, or error rates are stated.
The server does not expose Bearer tokens to users. Authentication happens internally during the login workflow, and the response confirms successful login or password change without revealing tokens.
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