mcpField
L
Learning Model Context Protocol

Learning Model Context Protocol

Local
yarnabrina.github.ioDeveloper Tools4Updated 1w ago
RepositoryVisit website

About Learning Model Context Protocol

Learning Model Context Protocol is a hands-on project for exploring MCP servers, clients, tools, and workflows. It is intended for learners experimenting with MCP; the README provides setup and usage documentation but does not specify the server's tools.

Key features

  1. 01Explore MCP server and client usage
  2. 02Experiment with MCP-based workflows
  3. 03Follow setup and usage examples

Use cases

  1. 01Learn MCP server configuration
  2. 02Practice configuring an MCP client

MCP support

The project explores MCP servers and clients and documents their configuration. The README does not describe specific capabilities exposed by this server.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "yarnabrina-mcp-learning": {
      "command": "uvx",
      "args": [
        "mcp-learning"
      ],
      "env": {
        "DEBUG": "<DEBUG>",
        "RUNTIME_ENVIRONMENT": "<RUNTIME_ENVIRONMENT>",
        "LOG_LEVEL": "<LOG_LEVEL>",
        "LOG_FILE": "<LOG_FILE>",
        "JSON_RESPONSE": "<JSON_RESPONSE>",
        "STATELESS_HTTP": "<STATELESS_HTTP>"
      }
    }
  }
}
Run commanduvx mcp-learning
Environment variables to set
DEBUGEnable additional debug logging output.
RUNTIME_ENVIRONMENTLogging/runtime environment.
LOG_LEVELLog level for server output; the server defaults to INFO.
LOG_FILEOptional path for a server log file.
JSON_RESPONSEReturn JSON payloads for HTTP responses instead of newline-delimited JSON.
STATELESS_HTTPDisable HTTP keep-alive to serve each request independently.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-learning0.3.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

Links

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.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.