Learning Model Context Protocol

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

What does this entry provide?

Learning Model Context Protocol is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 76/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Learning Model Context Protocol to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 76/100
Install method: pypi
Repo: yarnabrina/learn-model-context-protocol
Repo updated: Oct 17, 2026

Install command

uvx mcp-learning==0.3.0

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 17, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-17T18:31:01.184329Z",
      "publishedAt": "2026-10-17T18:31:01.184329Z",
      "statusChangedAt": "2026-10-17T18:31:01.184329Z"
    }
  },
  "server": {
    "name": "io.github.yarnabrina/mcp-learning",
    "title": "Learning Model Context Protocol",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.3.0",
    "packages": [
      {
        "version": "0.3.0",
        "transport": {
          "url": "http://127.0.0.1:8000/mcp",
          "type": "streamable-http"
        },
        "identifier": "mcp-learning",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "packageArguments": [
          {
            "name": "--host",
            "type": "named",
            "format": "string",
            "default": "127.0.0.1",
            "description": "Local bind address for the Streamable HTTP server."
          },
          {
            "name": "--port",
            "type": "named",
            "format": "number",
            "default": "8000",
            "description": "Local port for the Streamable HTTP server."
          },
          {
            "name": "--streamable_http_path",
            "type": "named",
            "format": "string",
            "default": "/mcp",
            "description": "Endpoint path for the Streamable HTTP server."
          }
        ],
        "runtimeArguments": [
          {
            "name": "--from",
            "type": "named",
            "value": "mcp-learning",
            "format": "string",
            "isRequired": true,
            "description": "Resolve console scripts from the published PyPI package."
          },
          {
            "type": "positional",
            "value": "mcp-server",
            "format": "string",
            "valueHint": "command",
            "isRequired": true,
            "description": "Invoke the entry point console script that starts the MCP server."
          }
        ],
        "environmentVariables": [
          {
            "name": "DEBUG",
            "format": "boolean",
            "default": "false",
            "description": "Enable additional debug logging output."
          },
          {
            "name": "RUNTIME_ENVIRONMENT",
            "format": "string",
            "choices": [
              "local",
              "production"
            ],
            "default": "local",
            "description": "Logging/runtime environment."
          },
          {
            "name": "LOG_LEVEL",
            "format": "string",
            "choices": [
              "DEBUG",
              "INFO",
              "WARNING",
              "ERROR",
              "CRITICAL"
            ],
            "default": "INFO",
            "description": "Log level for server output; the server defaults to INFO."
          },
          {
            "name": "LOG_FILE",
            "format": "filepath",
            "description": "Optional path for a server log file."
          },
          {
            "name": "JSON_RESPONSE",
            "format": "boolean",
            "default": "false",
            "description": "Return JSON payloads for HTTP responses instead of newline-delimited JSON."
          },
          {
            "name": "STATELESS_HTTP",
            "format": "boolean",
            "default": "false",
            "description": "Disable HTTP keep-alive to serve each request independently."
          }
        ]
      }
    ],
    "repository": {
      "id": "1026553889",
      "url": "https://github.com/yarnabrina/learn-model-context-protocol",
      "source": "github"
    },
    "websiteUrl": "https://yarnabrina.github.io/learn-model-context-protocol/",
    "description": "Basic arithmetic tools with natural-language expression parsing and evaluation."
  }
}

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