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Learning Model Context Protocol

Official registry AI and agents

Basic arithmetic tools with natural-language expression parsing and evaluation.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package mcp-learning
Claude Code 
claude mcp add learning-model-context-protocol -e 'DEBUG=false' -e 'RUNTIME_ENVIRONMENT=local' -e 'LOG_LEVEL=INFO' -e 'LOG_FILE=<LOG_FILE>' -e 'JSON_RESPONSE=false' -e 'STATELESS_HTTP=false' -- uvx mcp-learning==0.3.0 --host --port --streamable_http_path
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "learning-model-context-protocol": {
            "command": "uvx",
            "args": [
                "mcp-learning==0.3.0",
                "--host",
                "--port",
                "--streamable_http_path"
            ],
            "env": {
                "DEBUG": "false",
                "RUNTIME_ENVIRONMENT": "local",
                "LOG_LEVEL": "INFO",
                "LOG_FILE": "<LOG_FILE>",
                "JSON_RESPONSE": "false",
                "STATELESS_HTTP": "false"
            }
        }
    }
}

Environment variables

  • DEBUG Enable additional debug logging output.
  • RUNTIME_ENVIRONMENT Logging/runtime environment.
  • LOG_LEVEL Log level for server output; the server defaults to INFO.
  • LOG_FILE Optional path for a server log file.
  • JSON_RESPONSE Return JSON payloads for HTTP responses instead of newline-delimited JSON.
  • STATELESS_HTTP Disable HTTP keep-alive to serve each request independently.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Learning Model Context Protocol
  2. Documentation
  3. Contributing
  4. Links
  5. License

Learning Model Context Protocol

This project explores the features and usage of Model Context Protocol (MCP) servers and clients, providing a hands-on learning environment for experimenting with MCP-based tools and workflows.

Documentation

Contributing

Please see CONTRIBUTING.md for development and contribution guidelines.

License

This project is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later).

Copyright (C) 2025-2026 Anirban Ray

See the LICENSE file for details.

Frequently asked questions

What is Learning Model Context Protocol?

Basic arithmetic tools with natural-language expression parsing and evaluation.

How do I install Learning Model Context Protocol?

It runs on your machine. In Claude Code: claude mcp add learning-model-context-protocol -e 'DEBUG=false' -e 'RUNTIME_ENVIRONMENT=local' -e 'LOG_LEVEL=INFO' -e 'LOG_FILE=<LOG_FILE>' -e 'JSON_RESPONSE=false' -e 'STATELESS_HTTP=false' -- uvx mcp-learning==0.3.0 --host --port --streamable_http_path. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Learning Model Context Protocol need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Learning Model Context Protocol open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Learning Model Context Protocol?

It is published by yarnabrina. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.